Beyond
Borders: The Accelerating Momentum of Domestic Violence Research Worldwide
Dasarath
Neupane*
Post-Doctoral Fellow
Institute of Social Sciences and
Humanities, Srinivas University, Mangaluru-575003
https://orcid.org/0000-0001-9285-8984
Arputhem
Lourdusamy
Research
Professor
Institute
of Social Sciences and Humanities, Srinivas University, Mangaluru-575003
https://orcid.org/0000-0002-9011-6212
Corresponding author*
Received:
April 11, 2024; Revised & Accepted: June 22, 2024
Copyright: Authors
(2024)
This work is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License.
Abstract
This paper covers publication
trends, co-author networks, and research keyword co-occurrences on academic
research related to domestic violence between 2000 and 2023. Throughout these
years, first, the number of published articles dealing with this topic was very
limited, from just four articles in the year 2000 to 37 in 2013. Still, after
an imposing surge in publications registered after 2013, particularly between
2020 and 2023, the numbers increased from 217 to 653, establishing a
significantly increased impact on the reviewed issue at a global level. This
network identifies some central figures in the research community, such as Gene
Feder, Louise M. Howard, and Nicky Stanley among others. It underlines the
existence of collaboration clusters around issues such as gender, domestic
violence, mental health, and social work, hence emphasizing the very essence of
interdisciplinary research. Through keyword co-occurrence analysis, the word
cloud shows some central themes to include intimate partner violence and the
effect of COVID-19 on different population focuses, including strong
qualitative research methods. The second word cloud, that of author
affiliation, demonstrates the concentration of research output by leading
institutions, with a high volume emanating from the UK, but also global
collaboration - significant contributions from universities in Australia being
one of them. Domestic violence is a complicated issue that affects individuals
and communities of all ages, genders, sexual orientations, educational backgrounds,
and more. These terminological complications in defining domestic violence can
result in confusion during the practice of identification, assessment, and
intervention. This study follows a holistic approach to bibliometrics in
reviewing scholarly literature on domestic violence by drawing on data from
Lens.org along with the visualization tools of VOSviewer. Improvement in
understanding the domestic violence research landscape, major contributors,
collaboration patterns, and the gap in research is what this study attempts to
address. A total of 92,443 documents in their study were filtered to 2,362
scholarly works that included research articles published from 1999 up to 2023.
The findings indicate the important factors of institutions and countries, the
necessity of interdisciplinary-wise collaboration, and emerging hotspots of
research. A bibliometric approach emphasizes that for effective intervention
and prevention, there is a need for systematic reviews and synthesis of the
available literature to provide informed evidence-based policy and practice in
the context of domestic violence.
Keywords: author affiliation, bibliometric
analysis, domestic violence, trends
Introduction
The terms through which domestic
violence is referred to many including wife abuse, partner abuse, and intimate
violence. These various terms sometimes refer to the same problem and also have
distinct meanings
Domestic violence is, above all,
characterized by the fact that the perpetrator continues, for the most part, to
have access to his victim. In this respect, he knows his victim's habits,
weaknesses, and personal details, which he can then use against his victim in
his effort to keep him or her subjugated and controlled
The victims of domestic violence
not only suffer the trauma perpetrated by physical and emotional abuse but also
by the intricacies of an intimate relationship with their abuser. Most of the
abusers feel entitled to control their partners, and more often than not, such
thinking finds encouragement from societal norms or beliefs that condone such
behavior in the family environment. This may breed further abuse, as the abuser
will feel entitled to his behavior
Domestic violence is not a single
incident but rather a series of abusive incidents over and over again. These
patterns can take on many forms-physical violence, threats, emotional
manipulations, and destruction of property
Each incident of abuse might be
different, but some abusers use the same set of acts every time, while others
change their actions so that the victim is constantly trying to maintain
balance. The unpredictability, for instance, makes it difficult for victims to
know when the next attack will happen or how to get ready for such a situation.
All this adds up to make them feel more fearful and helpless
Domestic violence remains one of
the most common and pervasive problems, cutting across all ages, genders,
classes, and cultural backgrounds. An act of physical aggression is not
included within its definition, but rather it is a complex pattern of behavior
that includes various forms of abuse, such as emotional and psychological
abuse, sexual abuse, economic manipulation, and social isolation
Objectives
The comprehensive analysis and
understanding of the research landscape, publication trends, major
contributors, collaboration networks, and emerging themes are done in academic
research related to domestic violence within the period of 2000-2023. This will
be useful in informing domestic violence policy and evidence-based practice
with a view to effective intervention and prevention of domestic violence.
Specific Objectives:
Analyzing Publication Trends
Examine the trend in domestic
violence publications to identify growth spurts since 2013, for example, and
determine what factors drive such interest on the part of academics, such as
COVID-19.
Identification of Key Researchers
and Collaboration Networks:
Map the co-authorship networks to
emphasize the position of important actors such as Gene Feder, Louise M.
Howard, and Nicky Stanley, and identify collaboration clusters around gender
issues, mental health, and social work topics.
How to Perform Keyword
Co-Occurrence Analysis:
Perform keyword analysis that can
reveal intimate partner violence, the impact of COVID-19, or other central
themes of domestic violence research, as well as methodological approaches such
as qualitative research, by bringing them to the fore.
To establish the institutional and
geographical research output: Institution and country contribution to the
research on domestic violence could be ascertained from the data on authors'
affiliations, with particular emphasis on top UK institutions and international
collaboration with Australian universities.
Appreciate Complexities and
Variations in Terminology: Discuss how the complexities and variations in the
terminology about domestic violence may affect the consistency and
effectiveness of identification, assessment, and intervention strategies.
To identify research gaps and
emerging hotspots: Emphasize the area that remains under-researched and
emerging hotspots in the domestic violence literature so as to ensure that
future efforts are focused on the same and bring complete knowledge about the
issue across different demographics and contexts.
To argue for systematic reviews and
interdisciplinary collaboration:
It would emphasize the necessity of
systematic reviews and cross-discipline collaboration, from which the available
literature is synthesized and the gaps in knowledge bridged to provide a
holistic approach evidenced in policy and practice related to domestic violence
intervention and prevention.
In order to inform policy and
practice, the effects of findings from research in the development of policy
and practice have been derived. Understanding the link between research and
real-world application will be of important value in translating the knowledge
into actionable solutions for preventing and addressing domestic violence.
It systematically analyzes the
large volume of scholarly work as a useful tool in light of the complexities
and challenges mentioned in the problem statement. Bibliometric analysis
enables the trends, patterns, and relationships within the domestic violence
research field to be elicited. Such an analysis goes a step further in
highlighting which topics receive the most attention, which methods are being
predominantly used, and where research gaps might exist. It also helps to identify
influential authors, institutions, countries contributing to the field, and key
journals and sources where research is published.
A number of important reasons exist
why bibliometric analysis would be performed on domestic violence:
(i)
Mapping
of Research Trends: Understanding how the focus of research into domestic
violence has evolved over time, for example, using results to indicate changes
in research emphases, may reflect several changing societal concerns and help
formulate further directions.
Bibliometric analysis can define
the areas of under-investigated questions for further research guidance.
This bibliometric analysis of
existing literature can guide policy and practice by informing policymakers and
practitioners about evidence-based practices and effective interventions. It
would ultimately result in better policies, specific intervention-focused
prevention programs, and support services for victims.
(ii)
Facilitating
Interdisciplinary Collaboration: In as much as bibliometric analysis can
recognize contributions across different disciplines, this analytical approach
may allow for further interdisciplinary collaboration in understanding the
phenomenon of domestic violence. An interdisciplinary approach is particularly
vital in constructing comprehensive intervention strategies that address the
multifaceted nature of domestic violence.
Methodology: A Bibliometric
Approach to Study Domestic Violence Using Lens.org-VOSviewer
This bibliometric analysis has been
performed with the intention of portraying an overall picture
1. Data Collection Using Lens.org:
Search Strategy: The search was
done initially on Lens.org using the keyword "domestic violence";
this resulted in a total of 92,443 documents associated with the topic under
discussion. These documents included all kinds of scholarly outputs like
journal articles, conference papers, book chapters, and all other forms of
scholarly works.
A further refinement of the search
was performed by searching the exact phrase "domestic violence"
enclosed in quotation marks, to zero in on more specific studies that directly
address the concept of domestic violence. This has narrowed down the results to
68,367 scholarly works, suggesting that a large part of the literature
addresses the subject matter explicitly as a core theme.
Time Frame Filter: This helps
researchers like me to identify the most current research trends in the field
and to make the findings relevant. The search results were limited to
publications that have been issued from the years 1999 to 2023. This resulted
in 60,979 research works published, which testifies on the sustained academic
interest and ongoing research over the past 25 years on domestic violence.
External ID Type DOI: Refining
further, the search results included only those documents that had been
assigned a Digital Object Identifier. A DOI provides a document with a unique
alphanumeric string by which it is persistently available and citable. This
filtered the number of scholarly works to 41,555, where the documents were
those recognized and easily accessible within the academic environment.
Publication Type Filter applied: In
focusing on high-value-added, peer-reviewed research contributions, journal
articles were selected to maintain high quality in the results. Journal
articles are a type of scholarly communication that is formatively central in
providing original research, critical reviews, and theoretical discussion.
This, therefore, filtered the number of scholarly works to 33,919, ensuring
that the analysis truly focused on credible and academically sound
contributions.
In the final step, the filtering
was carried out to Open Access Colour with the selection of 'hybrid' open
access. Hybrid open access refers to a model of publishing where the journal is
subscription-based but clearly makes specific individual articles open access,
often through an author/institutional payment. This all means that 2,362
scholarly works have been identified, showing that at least a subset of the
research identified here is available to non-subscribers.
2. Data Analysis Using VOSviewer:
The software tool used for
constructing and visualizing bibliometric networks is known as VOSviewer.
VOSviewer is especially efficient at making maps from network data, such as
citation networks, co-authorship networks, and keyword co-occurrence networks.
It offers visualizations that expose relationships, clusters, and trends within
the research area.
The filtered dataset from Lens.org
was exported in a compatible format for use with VOSviewer. The dataset
includes metadata like titles, abstracts, keywords, authors, publication years,
and citation data. Data such as this played a most crucial role vis-à-vis
co-authorship networks, citation maps, and keyword co-occurrence networks in
providing an insight into collaboration patterns, influential publications, and
thematic trends within the domestic violence research.
Mapping and Visualization:
Co-authorship Network: Through the
application of VOSviewer, the co-authorship network map highlighted the most
productive authors and institutions when conducting domestic violence research.
The mapping of collaboration patterns across researchers and institutions often
working with each other indicates the leading contributors and possible centers
from which emanates research activity.
Citation Analysis: Citation maps
can be constructed to identify the most important works, authors, and journals.
Such analysis is critical to tracing a history of key ideas and theories
through time by noting seminal works in a given field.
Keyword Co-occurrence Analysis: The
VOSviewer software allowed the keywords to be visually represented as
co-occurrence in the dataset; therefore, it mapped out the most relevant themes
and topics that have been broached concerning research in domestic violence.
Reflecting heavily researched aspects of domestic violence, emerging areas of
study, it also points towards potential gaps within the literature.
3. Result Interpretation:
The maps and visualizations
available through the VOSviewer were analyzed to extract relevant insights from
the research environment on domestic violence, which has indicated
collaboration patterns, influential topics of research, and knowledge gaps, hence
informing valuable data to guide further research efforts, policy decisions,
and practical interventions.
This bibliometric analysis presents
a study following a methodical exploration of the domestic violence scholarly
literature using Lens.org for data gathering and VOSviewer for data analysis
and visualization. Based on the reassessment of the search criteria with a
guarantee that the referenced research is high quality and available, this
study will provide an overview of scholarly works pivotal to domestic violence
research, key trends, influential studies, and opportunities for future
research.
Results
and Analysis
Figure 1: Document Count per Publication Year
Between 2000 and 2013, there was
extremely slow growth and a gradual increase in the number of articles issued
yearly pertaining to domestic violence. In the year 2000, just 4 articles were
published, reaching an increase of 37 in 2013. The gradual trend in growth
points to indicate a consistent interest in the academic research on domestic
violence during the early 2000s, probably since it was fast gaining prominence
and attention in the academic world.
However, after 2013, the number of
papers being published jumped. For instance, in 2015, it was 90 papers, and in
2016, 80 were published, while the numbers are still on an upward trend. This
sudden increase might be linked to a growing awareness of domestic violence
internationally; hence, international movements, changes in policies, and
availability of more funds for research in social sciences might be some other
reasons. It was only as the urgency of the problem of domestic violence and the
necessity of confrontation became clear that research started.
The period between 2020 and 2023
was a much more significant era. It went from 217 in the year 2020 to 653 in
2023. Much of this big increase can be an indication of a rise in interest,
partly generated by events within the global arena, such as the COVID-19
pandemic, which may have additionally placed domestic violence issues at the
center of attention.
Taking these together, they
indicate that academic interest in domestic violence is strong and is growing
rapidly, much of the recent growth occurring within the last few years. As the
numbers of scholars specializing in the topic grows, the more significant need
there is for any forthcoming research to be of high quality and translate into
real-world improvements in the way domestic violence is tackled.
Figure 2: Co-authorship Network Visualization
We can now understand the
Co-authorship Network Visualization as a graph showing a better picture of the
collaboration of researchers in a specific field. The visualization is focused
on key figures who often research issues such as gender problems, domestic
violence, mental health, and social work. It indicates the functionality among
them in collaborating with whom and in what area.
Key Figures in the Network:
Gene Feder: This network map
clearly illustrates that Gene Feder is a central figure, meaning he has a great
deal of connections with other researchers. It tells us that he is one of the
leading leaders in this field, working on several projects with different
teams. His centrality in the network may mean that he will play some kind of
key role in coordinating research efforts or contributing to a wide range of
studies.
Other key people in the network
include Louise M. Howard, Nicky Stanley, Marianne Hester, and Eszter Szilassy.
Each of these authors leads a different cluster of collaborators. These
separate clusters are then connected by lines, which ultimately reflect that,
although there are specific areas of focus, many of these researchers
collaborate across multiple topics or studies.
Clusters and Collaboration:
Green Cluster: Kylee Trevillion and
Louise M. Howard belong to this group of researchers who are in proximal
connexion, meaning they are more than likely to narrow down their respective
research interests to a single, small topic within these broad domains of
research at hand, such as mental health issues related to domestic violence or
the consequences of domestic violence as it concerns public health.
Pink Cluster Marianne Hester and
Eszter Szilassy: This cluster seems to focus on a specific field of research.
Even though they work in a unique field, the field does touch many other fields
of studies. Therefore, it seems that they may be dealing with topics which are
related to social work and gender studies.
Smaller Clusters: These smaller
collections illustrate more specialist or niche areas of investigation. They
may present more narrow investigations into domestic violence, such as its
legal implications or the experiences of less studied populations.
Interdisciplinary Collaboration:
That is, most of the listed
researchers are connected with several clusters, which demonstrates high
interdisciplinary collaboration. In other words, there is intermixing or
incorporation of knowledge or ideas from different areas, a thing that is
essential to investigate complex issues such as domestic violence, gender
equality, and mental health.
With Gene Feder's connection to
several different clusters, it could be said that he serves as a bridge between
the various clusters to help others collaborate on varying research themes. In
systems with a bridging role, this provides a network that allows integration
of different perspectives and insights toward arriving at a comprehensive
understanding of issues at hand.
Research Focus Areas:
With leading researchers like
Louise M. Howard and Nicky Stanley, it would be highly expected that the
majority of the subjects the network would discuss involve public health,
gender studies, and social work. This may include reviews on the effects of mental
health due to domestic violence, preventive measures against abuse, and support
systems available to victims.
Central positions of these key
authors indicate the status of influence of these works, frequent use by other
scholars of research one may have published. They might be leading major
research projects, setting the agenda for research, or publishing in high-impact
journals.
Insights into Network Structure
Leadership and Influence: The
central nodes, as in the case of Gene Feder, Louise M. Howard, among others,
show that the leadership for this field of research is spread over various key
players. This form of network structure is typical in high-impact research,
where the drive to common goals is strong and organized.
Diverse Research Teams: Clustering
by color makes clusters more visually separated, hence enabling the
identification of various research teams and their unique contributions to the
field. The size of each cluster could be indicative of the amount of research
output or focus each possesses.
Challenges and Further
Investigations:
Few Central Figures Reliance: While
many times, the central position of a few researchers is important to advance,
it easily can turn into a bottleneck by which research is too dependent on just
that one person for direction and output.
Interdisciplinary Collaboration:
There is a promising overlap between different clusters because that signals
how different disciplines collaborate in this endeavor. Such collaborations
need careful coordination to ensure that no one perspective gets lost.
Evolving collaboration: While the
network visualization shows a snapshot of current collaborations, it does not
show how such relationships have changed over time. Such an understanding of
evolution could provide far-reaching insight into how research in this field
has evolved and how new trends have emerged.
Data Limitations: The network may
not reflect all the influential researchers or groups, since it can be biased
by journal selection, conferences considered, and the time period chosen.
Moreover, reliance solely on co-authorship as an indicator may exclude other
significant forms of collaboration, such as partnerships, mentorships, or
policy work that may not culminate in joint publications.
Thus, co-authorships form this
network, providing an important glimpse into the structure and dynamics of a
research community interested in studies on gender and health. Gene Feder, in
addition to key figures such as Louise M. Howard, Nicky Stanley, and Marianne
Hester, is majorly leading and shaping research in this area. This
visualization underlines the importance of an interdisciplinary approach and
signals a dominance of central authors that could call for more diversity in
voices and standpoints. Further research might move on to explore how these
collaborations evolve over time and look into other forms of academic
partnerships crucial for the field.
Figure 3: Co-occurrence Network Visualization
Co-occurrence Network Visualization
of Research Keywords: This is a visualization that represents the snapshot of
the most in-use keywords within a set of research studies. Such a set is bound
to deal with aspects related to public health, psychology, or social sciences.
The main subjects of the network in this diagram are about topics such as
violence, health issues, and diverse groups within the population. From the
relationships between these keywords, we can draw conclusions about where
exactly the current research interest lies.
Central Themes and Key Focus Areas:
Central Term "Human": The central
term in this network is "humans," which means all the studies are
based on human-related problems. In this case, the point of the research is to
understand problems affecting the lives of people.
Focus on Intimate Partner Violence
and Domestic Abuse: Some very central keywords in this network are
"intimate partner violence," "domestic violence and abuse,"
and "coercive control." This points to a significant proportion of
the research targeting violence in intimate relationships, tracing its
occurrence, effects, and how it might be prevented or managed.
COVID-19 Impact: Other very
prominent terms include "covid-19" and "coronavirus." This
would suggest that the influence of the pandemic on domestic violence and its
associated behaviors has been a considerable area of study. The researchers
would relate the stresses, isolations, and other factors induced by the
pandemic to how it might have influenced the rate of domestic violence or
changed how it is experienced and reported.
Demographic Focus: The presence of
terms like "adults," "male," "child,"
"adolescent," "middle-aged," and "pregnancy"
reveals that violence and health problems are contrasted across subjects. Examples
include the following:
"Male" and
"Female": This would be studies that review and analyze gender
differences with regard to the victim and offender experiencing violence.
"Child" and
"Adolescent": These terms denote studies that address how the
youngest in society are affected by violence, perhaps within family frameworks
or among peers.
"Pregnancy": This could
suggest a focus on pregnant women who become victims of domestic violence-a
health concern highly regarded because it has implications for the life of both
the expecting mother and her yet-unborn child.
Employment of Qualitative Research
Methods: The occurrence of the keyword "qualitative research" shows,
in most studies, a reliance on these methods. Efficiently extracting intensive
information from personal experiences and understanding the complexities with
which people cope with violence and health issues and their social settings is
what this method seeks to capture. By nature, qualitative research methods
normally involve interviews, focus groups, and case studies, which enable the
researcher to capture thorough and personal perspectives.
Interdisciplinary Approach:
The network also involves a number
of terms that prove the research does not dwell in one discipline but actually
spans through different disciplines. Some of these terms include "human
rights," "epidemiology," and "social support." They
show that these studies encompass elements from public health, sociology,
psychology, and even legal studies. This is important because an
interdisciplinary look at most complex social issues such as domestic violence
provides a holistic approach in combining various streams of knowledge.
Emphasizing Important Issues:
Violence of Concern: Centrality of
terms related to violence, particularly those referring to intimate partner
violence, signals that this is an issue at the forefront of concerns in the
research community. Learning how violence occurs, its effects on victims, and
ways to prevent the violence is a key priority.
Terms related to the pandemic have
underlined how recent global events have shaped the priorities of this
research. This may indicate that the challenges and issues brought about by the
COVID-19 pandemic provide new challenges or intensify already prevalent issues,
such as increased feelings of isolation and heightened stress, which in turn
can lead to increased cases of domestic violence.
Diverse and Intersectional Focus:
The visualization suggests that researchers put in effort to consider the
experiences of different demographic groups in the elaboration of targeted
interventions. Understanding how violence affects someone differently according
to their age, gender, or even due to specific life situations-being
pregnant-support systems and policies could be improved.
Conclusion:
This network of co-occurring
keywords therefore brings out in significant detail recent trends in research
on aspects related to violence, health, and demographics. Emphasis on human
experiences, experiences concerning COVID-19, and qualitative research methodologies
all point toward a highly detailed and nuanced approach in research into these
issues. The interdisciplinary nature of the research, linking public health to
sociology, psychology, and human rights, insinuates that multiple angles of
vision are being used to consider these problems with the intent of developing
a more holistic understanding. This shall, in turn, help them offer solutions
that are not only effective but also inclusive, considering the needs of
various groups subjected to violence and health challenges.
Figure 4: Author Affiliation Word Cloud
Understanding the Author
Affiliations Word Cloud:
This word cloud is a visual
representation of affiliations for authors who have published research within a
given field. The size of the text for each university name reflects the number
of publications linked to that institution-the bigger the name, the more
publications it has contributed to. We get a rough overview of which
universities are most active in this area of research by looking directly at
the varying font sizes of the university names.
Key Universities and Their
Influence:
The names that are most
striking-that is, with the largest fonts-in the word cloud belong to the
University of Bristol, King's College London, and University College London. Of
these three, the University of Bristol produced 52 publications, whereas King's
College London and University College London each contributed 47 publications.
This prominence thus seems to indicate that these universities are leading
contributors in the research output of this area and displays strong academic
involvement and expertise.
University of London: This
university also has a significant presence, with 38 publications. It is clear
from this that London-based institutions are at the center of this, perhaps
working closely with each other, driving central teams of projects.
University of Queensland and the
University of Melbourne: Also quite prominent in the tag cloud are these
Australian universities, which remain quite active. They provide an indication
that this field of research is part of a much wider international academic
conversation and not limited to UK academia.
University of Cambridge: This
institution has a global reputation for research excellence and thus appears to
be highly involved in this particular subject area.
Research Landscape Analysis:
Focus of Research in Top
Universities: Relating this to the fact that just a few universities hold the
biggest sizes of texts, it follows that research may be concentrated in fewer
places. It may simply mean that these universities host very strong programs,
resources, or faculty members focused on this subject area. They could,
therefore, lead large-scale studies, acquire more funds, or collaborate with
other top universities to advance knowledge in this field.
The UK is home to the majority of
the institutions represented in the word cloud. This will be an indication that
the UK houses a major hub for this kind of research. Such universities could,
therefore, be driving the global research agenda with its findings, thereby
influencing international studies and probably influencing policies and
practices.
Global Collaboration: As much as UK
institutions dominate the list, the presence of other countries' universities,
such as Australia, could only point to one thing: international collaboration.
This would mean that across the wide-word globe, there is some nexus where
people are sharing knowledge and adding up to contribute toward a global
understanding of issues at hand.
Implications for Research Impact:
High Research Output and Influence:
The most publishing universities are bound to produce a big part of the
research that informs policy decisions, clinical practices, and future academic
studies. Their high output may shape how certain topics are understood and
addressed within their fields.
There is also the possibility of
regional bias, given that most of the leading publications emanate from a few
universities in the UK. This could be because the priorities in research,
cultural perspective, and local concerns will influence the direction of
studies, and therefore the diversity of viewpoints and applicability to other
contexts may be limited.
Leadership in Academic Fields: This
is time and time again pointing to the leadership such institutions play in
their particular areas of research. Such prominence attracts with ease funding,
partners, and skills and can thus be self-reinforcing. Conclusion: This word
cloud will then showcase very effectively the key players existing within a
particular field of research, that is, a limited number of universities having high involvement. This concentration
has its upside and downside: on the one hand, it might result in high-quality
and influential work, but on the other hand, it generates some doubts
concerning diversity of insights and possible biases of perspective. The
presence of institutions from other than the UK testifies to possible
international collaboration, extension of scope, and impact. This constitutes a
reminder of the central roles that higher learning institutions play in
advancing knowledge and affecting local and global understandings of critical
issues.
Figure 5: Keywords Visualization
From general violence to domestic violence and intimate
partner violence, and further to child abuse, this word cloud covers almost
everything. And most of the focus seems to be on the close-relationship
violence in households, as suggested by the prevalence of "violence,"
"domestic," "partner," and "intimate." This kind
of violence quite often entails heavy mental health tolls, reflected by terms
like "mental," "trauma," "depression," and
"suicide."
The presence of "covid" here would insinuate
that the global pandemic probably exacerbated these problems, maybe because of
increased stress, isolation, or disrupted support systems. The use of terms
like "intervention," "screening," and
"prevention" shows that the dataset or literature based on this word
cloud are not concerned solely with looking into the causes and effects of
violence but seek ways of mitigating the menace through intervention and
preventive means.
Terms such as "alcohol," "substance"
highlight the intersectionality of violence with other social and medical
problems and show the many-sided responses needed from various sectors in
healthcare, justice, and policy-making.
This word cloud graphically illustrates that the critical
discourse in this area, besides health impacts and systemic challenges coupled
with possible interventions, revolves around the complexities of domestic and
intimate partner violence. The impact of external factors such as the pandemic
and substance abuse also prominently figures, which would tend to indicate that
the conversation encompasses both personal and greater societal elements.
Conclusion
The bibliometric analysis for
domestic violence research provides extensive insight into the field's
development, nature of collaboration, and areas which need to be strengthened.
The other important finding from the results is that domestic violence research
is highly concentrated in a few institutions, such as those in the United
Kingdom and Australia, where strong academic realization on this vice is
issued. The diverse definitions and terminologies reveal an urgent need to
standardize definitions so as to give clarity and coherence to research and
interventions. The same article names several of the key authors and landmark
studies that have contributed to this field being formed in an intellectual
sense, while at the same time emphasizing the interdisciplinary of such work:
from psychology and sociology to the areas of law and public health.
Though a fair deal of collaboration
shows itself through the use of co-authorship and citation network analysis, a
much stronger effort is needed in bringing in more voices, particularly
underrepresented groups in domestic violence research, such as male victims or
LGBTQ+ people. These emerging trends reduce the static feature of the research
questions faced by the societal concerns, such as how COVID-19 may impact
incidents of domestic violence. These findings hint at the need for continued
research, interdisciplinary collaboration, and a committed response to the
multifaceted nature of domestic violence in effective apprising of
interventions and policies.
References
Bhuller,
M., Dahl, G. B., Løken, K. V., & Mogstad, M. (2024). Domestic Violence
Reports and the Mental Health and Well-Being of Victims and Their Children. Journal
of Human Resources, 59, 152-186. doi:10.3368/jhr.1222-12698R1
Corbally, M. (2015). Accounting for intimate partner
violence: A biographical analysis of narrative strategies used by men
experiencing IPV from their female partners. Journal of Interpersonal
Violence, 30(17), 3112–3132. doi:https://doi.org/10.1177/0886260514554429
Foubert, J. D., & Bridges, A. J. (2017). Predicting
bystander efficacy and willingness to intervene in college men and women: The
role of exposure to varying levels of violence in pornography. Violence
against Women, 23(6), 692-706. doi:https://doi.org/10.1177/1077801216648793
Jegede, O. A., Vilka, L., Trapenciere, I., Markovič, D.,
Žemaitaityte, I., & Oloruntegbe, K. (2023). Domestic violence and social
services in Latvia, Lithuania, Slovakia, and Nigeria: Comparative study. Int.
Conf. SOCIETY. HEALTH. WELFARE, 1-15. doi:https://doi.org/10.1051/shsconf/202418401003
Karki, T. B., D’Mello, L., Poudel, G., Ghimire, M.,
Neupane, D., Shrestha, S. K., & Mahat, D. (2024). Exploring the Influence
of Family Dynamics on Death Attitude among Elderly People: A Comparative
Study of Chitwan and Jhapa District, Nepalrict, Nepal. International
Journal of Applied and Scientific Research, 2(8), 703-716. doi:https://doi.org/10.59890/ijasr.v2i8.2400
Mahat, D., Karki, T. B., Neupane, D., Shrestha, D. K.,
& Shrestha, S. (2024). Decolonization in Focus: A Bibliometric Analysis
of Scientific Articles from 2010 to 2023. Nepal Journal of
Multidisciplinary Research, 7(2), 1-21. doi:https://doi.org/10.3126/njmr.
Mahat, D., Neupane, D., & Shrestha, S. (2024).
Advancing Self-Esteem Research in Business, Management, and Accounting: A
Bibliometric Analysis of the Last Decade (2015-2024). Journal of
Logistics, Informatics and Service Science, 11(9), 138-161. doi:10.33168/JLISS.2024.0910
Neupane, D. (2017). Husband-to-wife aggression in A
thousand splendid suns by Khaled Hosseini. International Journal of
Applied Research, 3(9), 231-235.
Neupane, D., & Khanal, R. (2017). Reasons behind
Spousal Aggression in A Thousand Splendid Suns by Khaled Hosseini. Journal
of Advanced Academic Research, 4(1), 117-124.
Saini, R., & Spear, A. (2024). Teachers’ understanding
of gender-based violence in two public schools in Burkina Faso. Journal of
Gender-Based Violence, 8(2), 250-264. doi: https://doi.org/10.1332/23986808Y2024D000000019
Sapkota, B. D., Simkhada, P., Newton, D., & Parker, S.
(2024). Domestic Violence Against Women in Nepal: A Systematic Review of Risk
Factors. TRAUMA, VIOLENCE, & ABUSE, 00(0), 1-18. doi:https://doi.org/10.1177/15248380231222230
Tshoane, S., Olutola, A. A., Bello, P. O., & Mofokeng,
J. T. (2024). Domestic violence against men: unmuting the reality of the
forgotten gender. Cogent Social Sciences, 10(1), 1-14. doi:https://doi.org/10.1080/23311886.2024.2304990
Walker, A., Fenton, R., Parry, B., Barton, E., S. L.,
Donovan, C., . . . Hughes, K. (2024). Bystander experiences of domestic
violence and abuse during the COVID-19 pandemic. Journal of Gender-Based
Violence, 8(2), 141-161. doi:10.1332/23986808Y2024D000000020
No comments:
Post a Comment