Doctor of Philosophy, Case Western Reserve University, 2011, Nursing

Quality of life of older adults is influenced by multiple environmental factors. The purpose of this study was to examine the relationships of quality of life and internal environmental factors (physical functioning, and depressive symptoms), and external environmental factors (social support satisfaction and social network density). The study framework was based on the Complexity Theory and the Human Response Model. A cross-sectional predictive design was used to study the residents of retirement communities or people who attend senior centers in Northeast Ohio. Data collection involved the Short Physical Performance Battery, the Geriatric Depression Scale, the Arizona Social Support Interview Schedule, and the Quality of Life ICECAP index. This study was approved by the Case Western Reserve University's Human Subjects Review Board. Total sample size was 95. Data analyses indicated 62% of the sample was female, 78% were white, 90% were non-Hispanic, 86% lived at home, 63% lived alone, 73% were drivers, 89% completed high school or higher, and subject age ranged from 65 to 96, with the average age of 76 years. Descriptive statistics are as follows: physical functioning was high (M =8.95, SD = 2.49); quality of life was high (M = .84, SD =.11); depressive symptoms were low (M = 1.98, SD = 2.42); social support satisfaction was high (M = 35.67, SD = 6.18); and social network density was moderate (M = .53, SD = .33). Physical functioning was significantly higher in participants who completed college or higher than those who complete high school or less, and higher in participants who lived with others than those who lived alone. Depressive symptoms were significantly lower in the drivers than non-drivers/drivers with constraints. Hierarchical regression analysis shows that predictor variables explain 32% of variance in the quality of life of older adults (R2adj = .32, F(11, 83) = 4.95, p < .001). Physical functioning (β = .26, p < .05) and depressive symptoms (β = (open full item for complete abstract)

Doctor of Philosophy, The Ohio State University, 2010, ED Physical Activities and Educational Services

The purpose of the study was to examine the relationships among perceived effectiveness of NBTAs, extent of advice networks, and perceived job outcomes in a semiconductor manufacturing company in Korea, using a mixed method. The data for the quantitative study were collected from an online survey questionnaire. The population consisted of all employees (N=15,000) who were working in production facilities of the company or branch offices in Korea. The total number of respondents was 188 out of 375 employees randomly selected, with an overall response rate of 50.13%. The data for the qualitative study were gathered from semi-structured interviews with eight employees who responded to the online survey. Canonical correlation analysis and hierarchical regression analysis were utilized to analyze the survey data. Additionally, content analysis was employed to analyzed and interpret the interview data. The results showed that on-the-job training approaches and training approaches within a business unit were perceived to be more helpful than common training approaches to develop advice relations. Yet, no relationships were found between advice networks and the perceived effectiveness of NBTAs. The results also indicated that no mediation occurred between the perceived effectiveness of NBTAs and perceived job outcomes. Although the study failed to reveal the mediation between the perceived effectiveness of NBTAs and perceived job outcomes, the findings from the quantitative and qualitative studies provided evidences that NBTAs helped individuals develop advice networks, and the development of advice networks through NBTAs had an impact on individual job performance and job satisfaction. In addition, the results of this study identified four processes which create advice networks through training approaches: 1) developing advice networks based on job-relatedness, 2) sharing a common interest among others, 3) spending time doing group activities with others, and 4) spending (open full item for complete abstract)

Doctor of Philosophy, The Ohio State University, 2024, Environment and Natural Resources

Departing from literature on social-ecological fitness and social-ecological network analysis, this dissertation explores the degree to which social-ecological theory reflects underlying social processes of issue engagement and partnership evaluation and identifies pathways for future research to engage practitioners with social-ecological network data. In total, the research presented in this dissertation shows that social-ecological network analysis and theory can both be strengthened by participant engagement and qualitative analyses and can be translated into actionable information that practitioners can use to inform their management decisions. This research – which includes three consecutive empirical studies (chapters 2 through 4) – presents one of the first comprehensive accounts of confirming social-ecological network theory with participant populations. Each of the three chapters seeks to determine how practitioners navigate social-ecological interdependence by assessing whether practitioners' strategies align with social-ecological motifs that are commonly used in empirical network analyses (i.e., small-scale network structures that impart theoretically important processes). Further, all three empirical chapters analyze separate components of a dataset pertaining to climate change adaptation governance in Columbus, Ohio, which is a system comprised of over one hundred unique stakeholder organizations, 19 climate adaptation-related issues, and their interconnections. In the first chapter, I explore how community-engaged network tools can help to overcome fragmentation in environmental governance systems. I helped to develop a network tool that offers personalized partnership recommendations to practitioners that would close “collaborative gaps,” which are instances where two actors who manage the same issue(s) fail to collaborate with one another. Results from focus group conversations with practitioners suggest that engaged network tools can be 1) hampere (open full item for complete abstract)

MA, Kent State University, 2024, College of Communication and Information / School of Communication Studies

This study examines how young women's attitudes towards health are influenced by normative patterns and network heterogeneity. It assesses the role of discussion network heterogeneity in shaping health beliefs and scrutinizes the varying impacts of communication in familial and social media contexts. The study focuses on (a) understanding women's perceptions of different descriptive norms across communication contexts, (b) analyzing the influence of these perceptions on their intention to undergo gynecological examinations, and (c) investigating the effect of network heterogeneity on these perceptions and intentions.

Master of Science, The Ohio State University, 2021, Environment and Natural Resources

Modern environmental problems pose unique management challenges since they are usually interdependent in myriad, complex ways. Climate change is the ultimate example of a problem that forces environmental managers to confront highly interdependent challenges, such as invasive species, rising temperatures, and habitat loss. A growing area of interest in understanding complex, polycentric governance systems has been to analyze the engagement of stakeholders in policy issues and the participation of stakeholders in policy forums. In this thesis, I focus on climate change adaptation governance in Ohio, USA as a model study system to evaluate conditions and incentives that drive actors to manage for interdependent issues or to participate in forums in ways that are collectively beneficial. To answer questions about actor management strategies in complex, polycentric governance arrangements, I analyze climate change governance as a three-mode network of interrelations among actors, forums, and policy issues related to climate change adaption in Ohio. I draw upon the Ecology of Games Theory (EGT) and an Institutional Fitness framework to formulate hypotheses that uncover the conditions, incentive structures, and attributes that prompt actors to engage with issues and participate in forums in ways that promote adaptive capacity. Chapter 2 tests whether actors are likely to simultaneously manage environmental policy issues that are highly interdependent (such as nutrient management and water quality, which are connected through the process of eutrophication). Then, Chapter 3 tests for how different types of theorized closure structures (i.e., unique situations of actor benefits) – lead actors to participate in decision-making forums. To tackle the questions at hand, both chapters utilize Exponential Random Graph Models (ERGMs), which is a tool for inferential network analysis. The results indicate that actors are more likely to manage for pairs of interdependent polic (open full item for complete abstract)

MS, University of Cincinnati, 2021, Education, Criminal Justice, and Human Services: Information Technology

Despite the increased research on Social Network Services (SNSs) with Use and Gratification (U&G) Theory, most studies have focused on mainstream media. This paper presented a small-scale exploratory investigation of Alternative Social Media (ASM) such as Mastodon arose and provided a new way to think about the interactions on this new SNS form. Moreover, to better understand the differences between them, we compared two gratification groups. The present study employed SurveyMonkey as the online survey tool and to apply questionnaires to the Mastodon-users only on fifteen different Mastodon-instances. Data were collected through this online questionnaire in 2021, using a representative sample (N=150). The survey results suggest that Mastodon users expect and obtain gratifications of "Convenience", "Privacy", "Information Seeking", and "Social Escapism and Support". Moreover, of 7 Paired t-Tests for Gratifications Sought and Gratifications Obtained, three pairs (e.g., Information Seeking; Convenience; Privacy;) show that the most satisfying reasons for users joining and using Mastodon were the platform being informative, easy to use, and the privacy setting will shelter users' information from data mining. This study's main contribution to social-science research is to discover why ASM such as Mastodon arose and provide a new way to think about this new SNS form's interactions.

Master of Science, The Ohio State University, 2020, Environment and Natural Resources

Harmful algal blooms (HABs), have been a growing issue in Lake Erie since the 1990s. The blooms, composed of toxin-producing cyanobacteria, are primarily caused by nutrient runoff in the form of phosphorus and nitrogen from agricultural lands around the Lake. HABs in Lake Erie have become an especially salient issue after the August 2014 Toledo Water Crisis, in which 500,000 people in the Toledo Metropolitan Area were deprived of the use of their tap water due to a `do not drink' advisory prompted by toxins in the water originating from a HAB. In drawing an explosion of attention to HABs, the 2014 algal bloom functioned as a focusing event. A focusing event is an event, concentrated in a particular geographical area, that causes harm or reveals the potential for harm to human communities. To understand how the 2014 Toledo Water Crisis affected policy change processes implicated in managing Lake Erie, I investigate two issues pertaining to how this attention changed HAB management: first, the ways the crisis changed the social networks of the stakeholders involved in water quality management; and second, the ways that the crisis altered narratives about HABs. To address HABs, coordination across jurisdictions and the various levels of government is essential. Actors faced with these fragmentations of management built into government face a collective action problem and must coordinate their actions to compensate for this fragmentation. Understanding how the 2014 algal bloom as a focusing event altered social networks associated with water quality management in Lake Erie will help reveal the conditions under which coordination and collective action may arise. As a part of this process of addressing HABs, narrative will also be an important aspect. Policy debates are fought using narrative, and narrative affects the policy process. Understanding the narratives actors employ at a moment in which quickly mobilizing resources and people is essential can elucidate how acto (open full item for complete abstract)

Psy. D., Antioch University, 2020, Antioch Santa Barbara: Clinical Psychology

The purpose of this dissertation is to examine the impact unlimited connectivity and unlimited access to voice, text, and video communication as well as multimedia content consumption through mobile social technology has on personality integration. The increased use of mobile social technology has changed how the user engages social relationships. Through mobile social technology, the user places importance in an inanimate object for engagement of social relationships. A reliance on the inanimate object as a social relationship is thought to compromise the ability to internalize integrated object relations and develop stable personality organization. This theoretical research uses hermeneutic analysis of Kernberg's Object Relations theory, Winnicott's theory on Transitional Objects, Anthropomorphism, and Kohut's Self Psychology as it pertains to the relationship with mobile social technology. Through the hermeneutic process of understanding the presented experience of each of these theories the aim is to form a clearer picture of how our relationship with mobile social technology impacts personality functioning. Further research is needed to continue to expand our understanding of the impact of our relationship with social technologies. This Dissertation is available in Open Access at AURA: Antioch University Repository and Archive, http://aura.antioch.edu and OhioLink ETD Center, http://www.ohiolink.edu/etd

Doctor of Philosophy, The Ohio State University, 2019, Political Science

Social influence shapes the political opinions people form and the norms they adopt. I show that three key types of social networks drive the type of social influence people face: fully-connected deliberative networks, social hierarchies based on status, and star networks that group up around a central opinion leader. In chapter one, I lay the foundation for thinking of public opinion as emerging from people's social structures. I then apply the theory to international norm adoption and show that the type of network an individual is placed in has a direct effect on the norms they adopt, over and above partisanship. In chapter two, I use a custom-made Twitter-like environment to show experimentally that hierarchies foster the adoption of partisan-leaning norms as members pursue status. Stars, in contrast, inoculate their members against false claims due to the reputations costs opinion leaders face in misleading their followers. In chapter three, I expand on these findings by priming subjects in a survey experiment with an image of their social structure, and show that placing a political independent in a social hierarchy at the individual-level makes them favor U.S. isolationism, international competition in domains such as trade, and overall unilateralism on the world stage. The conclusion of these two studies is clear: social hierarchies prime competitive political thinking, often leading to the adoption of norms based on false premises, and star networks help their followers sift through the noise and misinformation that prevails in online fully-connected networks. These findings highlight the importance of viewing norm adoption and opinion formation as a social endeavor that is deeply influenced by one's reference network. As online social networks continue to expand, identifying the types of networks that characterize these social environments becomes imperative for students of public opinion and international relations that seek to understand why some norms an (open full item for complete abstract)

MS, Kent State University, 2019, College of Arts and Sciences / Department of Computer Science

As a response to the overall lack of success in educating social media users about their digital security, this thesis seeks to test a new method of hands-on education based on the simulation and recreation of social media environments paired with realistic identity theft experiences as a means of creating first-hand experience under controlled conditions. This thesis lays out the basic details of the system then details the means by which this system was tested on multiple cohorts of high-school age students, and the resulting effects, gauged by survey results and through the analysis of logged performance records, that the system had on their overall awareness and attitude towards privacy security issues.

Doctor of Philosophy, The Ohio State University, 2019, Educational Studies

One of the major challenges that students in the 21st century have faced is the need to reconcile various perspectives in the increasingly complex and interconnected world. Epistemic cognition—the process of thinking about what counts as knowledge and the process of knowing— plays an important role in enabling people to critically examine their understanding about the social world (i.e., social knowledge). Research has suggested that students lacking sophisticated social knowledge are vulnerable to negative social experiences, such as bullying or victimization, which can lead to long-term detrimental life-course outcomes. To this end, the major research gap in this field is the lack of scholarly understanding about the nature and development of epistemic cognition about social knowledge. The overarching aim of this study was to unpack the process by which early adolescents develop epistemic cognition about social knowledge. Based on 12 small groups' (63 fifth-grade students) discussions performed at three time points (a total of 36 discussions), this study investigated 1) the ways by which networks of epistemic cognition about social knowledge operate; 2) the impact of collaborative small group dialogic inquiry on the development of epistemic cognition about social knowledge; and 3) the associations between students' epistemic cognition about social knowledge and their social reasoning development. To examine how students' epistemic cognition worked and developed within the context of group discussions through the continued participation in collaborative small group dialogic inquiry, this study applied a network analysis approach called Epistemic Network Analysis, along with qualitative coding of discussions and quantitative analyses. The findings showed that 1) epistemic cognition about social knowledge constructed during small group discussions were connected epistemic networks; 2) the collaborative small group dialogic inquiry activity was effective in pro (open full item for complete abstract)

Master of Arts, University of Akron, 2019, Theatre Arts-Arts Administration

This thesis is about how nonprofit arts organizations can use Facebook and Twitter as part of their marketing campaigns. Chapter One discusses best practices for using Facebook and Twitter for marketing as written by marketing professionals. The second chapter is a literature review of current studies arts administration professionals have done on the topic of using social media for marketing. Chapter Three focuses on two case studies about two different nonprofit arts organizations in Indianapolis, Indiana. The chapter is divided into three sections. The Methodology section explains how the case studies were put together. The second section is the case study on the Indianapolis Symphony Orchestra, and the third section is the case study on the Indianapolis Chamber Orchestra. I asked each organization the same set of questions about its use of Facebook and Twitter for marketing and then analyzed the content of each organization's Facebook and Twitter pages over a period of one month. I then offered constructive criticism to each organization based on its interview responses and the best practices from Chapter One. Chapter Four is a conclusion of the entire thesis.

Master of Sciences, Case Western Reserve University, 2019, Applied Mathematics

As of 2018, opioid-related deaths have become more likely than fatal car crashes nationwide [1]. Anthropologists are turning to ethnographic surveys of users at syringe exchange points to gain insider perspective on current illegal drug trade. This novel form of data is untapped for its explanatory and predictive abilities. In this thesis we apply exploratory data analysis techniques and significance testing to understand market behaviors before representing them in a novel agent based model. The respondents as a whole are mostly male, white, under-educated, and under the poverty line. Almost 77% of respondents report brokering for a fellow user. We combine agent based modeling with random graph theory to recreate a social network mimicking a local heroin market. Taking the realism one step further, we develop a novel technique that replicates the respondents as members of the model's network. Overall, the informed model has a valid network topology and gives descriptive insight on the spread of local heroin markets.

Doctor of Philosophy (PhD), Ohio University, 2019, Mass Communication (Communication)

The purpose of this study was to analyze whether the Indonesian government uses social media to establish a dialogue with its public and to participate in a new public sphere facilitated by the Internet. A mixed-method approach of social network analysis(SNA), a survey, and focus group discussions were used to examine the Indonesian government communication model performed on social media, based on the symmetrical communication theory of public relations (Grunig & Grunig, 1992). A network analysis of the Indonesian government's social media conversation in daily communication, campaign communication, organizational crisis, and emergency communication (Mergel 2017) shows that two-way symmetrical communication has been implemented in a limited way. Two-way communication is performed only in daily communication when answering questions related to government services. A survey of the Indonesian government's social media officials (n= 252) at the ministry level revealed that the predominant model of government communication is one way communication in the form of disseminating positive information about the government and obtaining public attention. Additional models included two-way symmetrical communication, two-way asymmetrical communication, and the practice of dominating conversation. A regression analysis revealed that government PR practices on social media was influenced by the government's social media officials' knowledge of symmetrical communication, their positions in the organization, and the number of workshops they attended in the previous year. Focus group discussions of three government stakeholders—journalists, NGO workers, and communication professionals—confirmed the SNA and survey finding. It also revealed that dialogue between the government and its citizens occurred only when government was harshly criticized on social media. Additionally, the Indonesian government applied strategic activities to counter criticism by deleting negative comments a (open full item for complete abstract)

Doctor of Philosophy (PhD), Ohio University, 2018, Counselor Education (Education)

Social network sites have become integrated into individuals' daily lives, particularly members of Generation Y, defined as individuals born between 1981 and 1999, who have been surrounded by technology their entire lives. As a result, individuals of Generation Y are among the largest group of social network site users. According to modern Uses and Gratification theory, members of Generation Y are motivated to fulfill their social interaction needs through social network sites. A question that remains is to what extent Generation Y's investment in multiple social network site use is affecting their social connectedness, as well as their wellbeing. This study explored the mediating effects of social connectedness on Generation Y's investment in multiple social network sites and wellbeing. Participants included 736 members of Generation Y that have accessed a social network account (Facebook, Twitter, or Instagram) within the past month. Structural Equation Modeling (SEM) was planned to explore the direct and indirect effects between social connectedness, wellbeing, and investment in social network sites; however, SEM procedures could not be performed due to low correlations amongst variables. Exploratory analyses were utilized to examine the hypotheses for each research question. Regression analyses were performed to determine whether the predictive effect of investment in social network site use on wellbeing is mediated by social connectedness. The current study's findings revealed there were mediating relationships between investment in social network sites, social connectedness, and wellbeing, but this was limited with respect to certain aspects of wellbeing. This study provided information on how social connectedness impacts a Generation Y person's investment in specific social network sites (Facebook, Twitter, Instagram) and their total level of wellbeing so that counselors can increase their knowledge and awareness and respond therapeutically by educating indiv (open full item for complete abstract)

Doctor of Philosophy, The Ohio State University, 2018, Educational Studies

The purposes of my dissertation were to examine the interweaving relations between cognitive and social dialogic processes during collaborative small group discussions among fifth graders, to explore the relations between cognitive and social dialogue patterns and their associations with peer social relationships, and to understand quiet students' dialogic and social experiences during collaborative small group discussions. This portfolio-style dissertation work contained two studies. The first study was a quantitative study (Chapter 3) identifying cognitive and social dialogue patterns based on 8,673 speaking turns generated by 120 fifth-graders during three small group discussions. The associations between dialogue patterns and students' peer social relationships were examined. Results suggested that students' cognitive and social dialogue patterns tended to progress across discussions. Students' initiation of cognitive dialogue patterns was associated with social dialogue patterns received from peers. Friendship and peer liking relationships buffered against the negative effect of social withdrawal on students' cognitive and social dialogues with peers. The second study was a qualitative study using a multiple case study approach to explore quiet students' experience during collaborative small group discussions (Chapter 4). In-depth examinations of four unique quiet students and their experiences during CSR discussions suggest that quiet students' dialogic and social experiences are not universal. Instead, their experiences could vary for various reasons, including exclusively focusing on the teacher, being aggressive and having social behavior problems, being socially anxious, and being excluded from peers in the discussion group. Findings suggest that quiet students' psychological needs are essential to be understood in depth case-by-case to improve their experience during collaborative small group discussions. The quantitative and qualitative studies ( (open full item for complete abstract)

Doctor of Philosophy, The Ohio State University, 2018, Agricultural and Extension Education

The purpose of this study was to explore the informal network of social support within the Ohio State University Extension system, specifically exploring the perceived behaviors, characteristics, and influence of central actors as sources of social support. A mixed-methods approach was employed in two phases: (1) using network analysis to identify the central actors from a census of OSU Extension personnel; and (2) a follow-up survey of identified central actors and their specific relational ties. Findings from this study showed a sparse network with informal social support actor-tie connections generally existing in close physical proximity supporting the preference of in-person interactions. Central actors were described as being older, more experienced, and possessing attributes and characteristics of: accessibility, positivity, listening, open-mindedness, encouragement and coaching, being a role model, an altruistic service orientation, building relationships, being a connector, relevant experience and knowledge, and inclined to provide instrumental assistance. An interesting finding included an element of motivation among central actors reflecting that of self-actualization and spirituality. Central actors were perceived to hold influence on behaviors of ties. Actions reported as contributing to the central actors' influence included: providing aid to navigate organizational practices, empowerment through positivity, encouraging a work-life balance, and enhancing competencies of ties. Interestingly, central actors are passive leaders, as they saw evidence of changes in tie behaviors yet did not perceive themselves as influential. Implications of this study are to encourage others to think about organizational change differently and be encouraged to engage in social support behaviors, and for leaders to create an environment where supportive behaviors are encouraged, developed, and rewarded for the sake of building capacity for change.

PhD, University of Cincinnati, 2017, Education, Criminal Justice, and Human Services: Criminal Justice

Decades of criminological research have pointed to peers and peer groups as sources of and conduits for delinquency. Often, however, there has been a lack of clarity about the role of peers. This lack of clarity concerns whether the respondent delinquency-peer delinquency correlation results from peer influence or peer selection. Recently, the use of longitudinal social network analysis has provided valuable insights that have strengthened our understanding of peer selection and peer influence. While researchers often find evidence of both selection and influence generally, less inquiry has focused on the conditions in which peer influence is more or less likely, and whether differences exist across behaviors. The first question for this dissertation concerns whether students select friends based on their similarity in marijuana use, alcohol use, and bullying. Next, it assesses whether students are influenced by the behavior of their peers. Additionally, it examines whether potential peer or personal characteristics moderate these selection and influence effects. Using five waves the Teenage Networks in Schools (TEENS) dataset, a bi-weekly survey of a 9th grade cohort, this study found evidence of considerable short-term change in students' friendships, marijuana use, alcohol use, and bullying. The results show that students selected friends based on similarity in sex/gender and approval of delinquency, rather than similarity in marijuana use, alcohol use, or bullying. Additionally, there was no evidence of peer influence across any of the dependent variables. Prior school year behavior, however, was a significant predictor of behavior during this short-term study. Lastly, there was weak evidence to suggest popularity (negative effect) and unstructured socializing (positive effect) may be important moderators of marijuana use selection and bullying influence, respectively. Theoretical as well as practical implications of these findings are discussed, along with limi (open full item for complete abstract)

PHD, Kent State University, 2017, College of Public Health

Background: Recent statistics report that worldwide, 65.3 million people have been forcibly displaced, 21.3 million of whom are refugees. Women and girls comprise 50% of the forcibly displaced population and 50% of the refugee population. Many refugees in protracted situation are resettled in a third country. Upon resettlement, female refugees often report poorer health outcomes compared to other immigrants, as well as to native-born women within the host country. Of particular concern are the opportunities for resettled female refugees to achieve healthy pregnancies. Personal social networks can be an important source of support for resettled refugee women during their pregnancies. The present study considers the experiences of resettled Bhutanese refugee women of Nepali descent during their pregnancies in the United States (U.S.) from a social network perspective. Methods: Study participants were recruited from the Akron Metropolitan Area in Ohio through study fliers posted in two local Nepali grocery stores, as well as through word of mouth. A total of 45 participants were recruited and completed the in-person, semi-structured interview. Interviews were conducted in Nepali in private rooms free of interruption within the participant's home. The interview guide included questions that collected participant demographic information, information about the personal social networks of participants during their pregnancies (such as the number of support persons and their demographic characteristics), questions from the Norbeck Social Support Questionnaire (NSSQ) to measure the amount of support provided, and open-ended questions to elicit information about the pregnancy and resettlement experiences of participants in their new communities. Results: A total of 45 participants were included in the personal network analysis, while 42 were included in social support analyses due to incomplete responses from 3 participants. The average number of ties named as importan (open full item for complete abstract)

Doctor of Philosophy, The Ohio State University, 2017, Labor and Human Resources

This dissertation examines the effect of social networks on the occurrence of abusive supervision. Previous study of the predictors of abusive supervision has focused on factors including the leader, follower, and organization, ignoring any relational antecedents that may facilitate or constrain leader abuse. An emerging body of theory and empirical research suggests that leadership is a relational phenomenon. As a result, social networks play an important part in this phenomenon. Thus, I invoke social network frameworks to explain how leader and follower position in intra-team networks—which I define as the structure of social relationships among team members and their leader—influence the frequency of leader abuse. Specifically, considering both benefits and costs of social structure, I hypothesize that leader centrality can both increase and decrease leader abuse. It increases it through ego-depletion and decreases it through leaders' belief that they are trusted. In addition, I theorize that a team member's centrality is negatively associated with leader abuse through perceived utility of the team member and yet, positively associated with leader abuse through identity threat. Finally, linking leader and team member centrality, I hypothesize that leader centrality interacts with member centrality such that leader centrality weakens the link between team member centrality and perceived utility and the link between team member centrality and identity threat. Results with 289 leaders across various organizations provided general support for the iii indirect effect of members' advice network centrality on individual-level abusive supervision (but not for members' friendship network centrality) and partial support for the effect of leaders' advice network centrality on leaders' psychological states, feeling trusted. This dissertation extends abusive supervision and leadership literature by considering abusive supervision as a socially embedded phenomenon and by sho (open full item for complete abstract)