This thesis concerns Social Network Analysis as a mechanism for exploring Community Dynamics. To be able to use the Social Network methodologies, relationships existing between the modeling entities are required. In this thesis, we use two different kinds of relationships: e-mails exchanged and co-authorship of papers. The e-mails exchanged, as an indicator of information exchange in an organization, is used to facilitate the emergence of structure within the organization. In this thesis we demonstrate the effectiveness of using e-mail communication patterns for crisis detection in a hierarchically set organization. We compare the performance of a Social Network based Classifier with some of the traditional classifiers from the data mining framework for inferring this hierarchy. A generic framework for studying dynamic group transformations is presented and the co-authorship of papers, as an indicator of collaboration in an academic institution, is used to study the community behavioral patterns evolving over time. Enron e-mail corpus and the IISc Co-authorship Dataset are utilized for illustrative purposes.

The new social media sites - blogs, micro-blogs, and social networking sites, among others - are gaining considerable momentum to facilitate collaboration and social interactions in general. These sites provide a tremendous asset for understanding social phenomena by providing a wide availability of novel data sources. Recent estimates suggest that social media sites are responsible for as much as one third of new Web content, in the forms of social networks, comments, trackbacks, advertisements, tags, etc. One critical and immediate challenge facing the MIS researchers then becomes - how to effectively utilize this huge wealth of social media data, to facilitate business knowledge discovery and decision making.Among these available data sources, social networks constitute the backbone of almost all social media sites. These network structures provide a rich description of the social scenes and contexts, which is helpful for us to address the above challenge. In this dissertation, I have primarily employed the probabilistic network models, to study various social network related problems arose from the use of social media services. In Chapter 2 and Chapter 3, I studied how information overload can affect the efficiency of information diffusion in online social networks (Delicious.com and Digg.com). Novel diffusion model were proposed to model the observed information overload. The models and their extensions are thoroughly evaluated by solving the Influence Maximization problem related to information diffusion and viral marketing applications. In Chapter 4, I studied the information overload in a micro-blogging application (Twitter.com) using a design science methodology. A content recommendation framework was proposed to help micro-blogging users to efficiently identify quality emergency news feeds. Chapter 5 presents a novel burst detection algorithm concerning identifying and analyzing correlated burst patterns by considering multiple inputs (data streams) that co-evolve over time. The algorithm was later used for discovering burst keywords/tag pairs from online social communities, which are strong indicators of emerging or changing user interests.Chapter 6 concludes this dissertation by highlighting major research contributions and future directions.

This case study examined the spread of ideas in a Gr. 5/6 classroom in which the teacher was attempting to foster a knowledge building community. The goal of the research was to explore the relationship between the social network of the classroom (in terms of face-to-face and computer-mediated interactions), the teacher’s role, and the spread of ideas. Further, the thesis examined how social network tools may help teachers better understand the pedagogical implications of Scardamalia and Bereiter’s (1991) Teacher A, B, C models. Analyses of videotaped lessons revealed the teacher used a complex mix of traditional instructional methods and knowledge building strategies while trying to shift the locus of control of learning to students. Critical teacher-driven processes included the class-wide adoption of knowledge building vocabulary and practices, and efforts to foster higher levels of student-student discourse. Analyses of online interactions provided strong evidence of highly interconnected student-student online networks, with the note reading network being especially dense. Longitudinal studies revealed these network established themselves early in the unit, and persisted during the course of the inquiry. There was evidence that idea improvement was present in addition to idea spread. In face-to-face classroom communication, the teacher’s role was more central, particularly in "Knowledge Building Talk" sessions. However, here too, the teacher made efforts to shift the locus of control. Overall the analyses suggest that social network tools are potentially useful for helping teachers make the difficult transition from "Teacher A" and "Teacher B" strategies, in which the locus of control is with the teacher, to "Teacher C" strategies, in which strategic cognitive processes are turned over to students. This dissertation proposes that movement toward Teacher C practices may be illustrated, in part, by a shift in classroom network topologies from that of a star-shaped network, centered on the teacher, to a highly interconnected student-student network. Finally, the thesis recounts a number of ways in which the use of social network tools uncovered discourse patterns of which the teacher was unaware, including gender differences in reading, building-on, and contribution patterns.

The mechanisms and functions of shark grouping behaviour have received relatively little scientific attention to date. The current widespread use of social network analysis to study animal groups, in concert with rapid advances in animal tracking technology, now allows us to test specific hypotheses about how and why sharks form groups. This thesis uses replicated laboratory experiments to investigate some of the mechanisms underpinning aggregation in a model species of benthic, oviporous elasmobranch, the small spotted catshark (Scyliorhinus canicula L. 1758; Scyliorhinidae). Acoustic tracking of this species in the wild is also conducted to explore how network analyses can be adopted to study the localized movements, habitat connectivity and ranging behaviour of adult sharks. Groups of juvenile S. canicula were characterized by non-random social preferences, crucially, only when individuals were familiar with one another suggesting social recognition is important in young sharks of this species. Genetic analyses of parent and offspring DNA revealed very high levels of multiple paternity in this species, likely due to male sexual harassment and multiple mating, which leads to increased genetic diversity between juvenile sharks. Perhaps unsurprisingly, there was no evidence of kin relatedness structuring social interactions between conspecifics. Furthermore, testing the effects of environment on social behaviour provided evidence that these juveniles aggregated more in structurally complex environments than simple ones. However, at the individual level sharks showed consistency in their social network positions through time and across different habitat types. This result is indicative of personality traits in S. canicula. Using data gathered via passive acoustic telemetry of wild shark behaviour, network analysis provided a useful tool with which to quantify movement between receivers. One chapter has been dedicated to the application of these methods, highlighting a number of different analyses for predicting movement behaviour from such data. Finally, these methods were adopted to address ecological questions in this sexually segregated species. Persistent site fidelity to a localised inshore area by both male and female sharks suggested that segregation occurred at a relatively small spatial and temporal scale. Despite strong evidence of segregation, analyses of movement networks and individual co-occurrences revealed distinct periods of behavioural synchronicity during the months of March, April and May. In addition, habitat complexity appeared to be a significant driver of female behavioural strategy. Enhancing our knowledge of the social and environmental drivers of aggregation and movement in sharks is of great importance given the ecological threat facing many of our ocean’s top elasmobranch predators.

People always find themselves interacting with others and forming ties with them; these ties shape an individual’s social network which helps form the self-conception and identity of a person. In discussing the essence of social networks and how they are formed the concept of homophily is of high significance. Therefore, the purpose of this research is to show the association between homophily and the process of friendship formation. As the structure of any social network is important in tie formation, I have also intended to study homophilous tie formation from a distinctiveness theory perspective, suggesting that individuals with minority characteristics are more prone to form friendship ties with each other. The types of homophily studied in this research are gender, religion, nationality/ethnicity, and political views. The data is gathered from the cohort which started grade 10 in upper secondary education in a school in Stockholm in Autumn 2012. The analyses were conducted using logistic regression. The results indicated the existence of gender homophily and national homophily. However, religious homophily did not appear to be significant; political homophily was only significant for individuals who were participating in political meetings. However, due to lack of sufficient data, the relations between network structure and homophilous relations could not be accurately tested. Since the data were not collected randomly and the school was chosen due to its specific characteristics, it is not possible to generalize the results of the research to all of the adolescents living in Stockholm. However, this research sheds some light on the mechanisms at play in friendship formation among adolescents.

The sociotechnical system of print-on-paper for the dissemination of textual information prevails despite widespread concerns about its sustainability. On the basis of sociotechnical transitions theory the print-on-paper system is perceived as a regime. Information technology is identified as one of the generic technologies that has the potential to address the unsustainability of the incumbent regime. Its potential effects are examined through the development of the electronic book, which is defined as those IT applications providing an alternative form of textual display to printed paper. Yet, such applications have remained marginal. According to sociotechnical transitions theory the electronic book can be seen as a niche in relation to the print-on-paper regime. An alternative conceptualisation of transitions as a process of network reconfiguration is suggested. On that basis, the electronic book is depicted as a number of emergent innovation networks. Social Network Analysis methods informed by network approaches to innovation theory are applied to visualise and discuss these emergent networks. In one of the representations, the electronic book is mapped as a sociotechnical network including organisations, users and technologies. It emerges that network formation often transgresses a distinct niche-regime divide. Patterns of network interaction are explored and assessed as to whether they represent a sociotechnical transition in progress. The analysis reveals different patterns of network formation which are indicative of prospective sociotechnical trajectories where different concepts of the electronic book are emphasised. It emerges that the discussion of sustainability and the emergence of the electronic book remain largely unlinked.

This thesis tests Robert S. Weiss's 1973 theory of loneliness, which claims two types of loneliness: emotional and social. Emotional loneliness is the affective reaction to the absence of a close attachment bond. Social loneliness stems from inadequate integration into a social network. Undergraduate residents of a university dormitory completed questionnaires on loneliness, attachment, personality, and relationships with other dorm residents. Patterns of relational ties among participants were evaluated using social network analysis, specifically density, tie strength, and four forms of centrality. Results reveal that, while controlling for neuroticism, the network measure of outdegree and the two attachment dimensions accounted for more than half the variance in loneliness, R = .73. None of the three predictors intercorrelated significantly. A portion of loneliness is derived from one's internal attachment security and a separate portion is derived from the external features of one's social network integration.

Jana Hoferková - Copyright protection on social networks Resume The purpose of this thesis is to analyse the subject of copyright protection on social networks. The thesis is composed of five chapters, each of them dealing with different aspects of the topic discussed. Chapter One is introductory and explains the reasons behind focusing on this issue. Chapter Two provides a brief description of social networks. It consists of two parts, which discuss possible legal threads of social networks. Part One focuses on problem of privacy protection whereas Part Two deals with the issue of data protection on social networks. Chapter Three provides an overview of copyright on social networks. It is subdivided into four parts, each of them dealing with different aspects of copyright in relation to social networks. Part One describes the copyright itself in the Czech legal system. Part Two compares the Czech copyright with the Anglo-American copyright, for its relevance to social networks. Part Three examines the question of the governing law, as the relationship between social network and user includes an international aspect. Part Four investigates the license agreement between social network and user. Finally, Chapter Four concentrates on the liability for copyright infringement on social networks. Five Parts of...

Master of Public Health / Department of Kinesiology / Katie M. Heinrich / Background and Purpose: Trails can help increase community physical activity levels but little is known about the role that collaborations play in building a trail. Social network analysis may be a useful tool to examine collaborations among various stakeholders, such as municipal public works, parks and recreation, community organizations, hospitals, local businesses, universities, and schools. The purpose of this project is threefold: a) to identify the number and type of organizations involved in trail building, b) to examine the centrality and density of social networks in the trail building process and c) to determine whether collaborations differ between the three phases of trail building (generation, grant funding and construction). Methods: Thirty-four successful trail project builders funded by the Sunflower Foundation of Kansas participated in an online survey designed to explore collaborations throughout the trail building process. Social network analysis adapted from procedures developed by Wickizer and colleagues (1993) was used to identify key organizations in building trails, to estimate the overall density and centrality of connections between the organizations, and to determine differences in collaborations by project phase. Results: Fifteen different groups (e.g. non-profit community organizations, city parks and recreation department, city public works, schools) were identified as part of the trail building process. Non-profit community organizations were most central to trail building during all three phases (generation (.36) grant writing (.38), and construction (.41)). All three phases of trail building were only weakly connected as indicated by density of social network scores measured during the generation (5.7%), grant writing (6.2%) and construction phases (7.5%). Centrality of social networks was high for all three phases of the trail building process, the generation phase (0.32) the grant writing phase (0.27) and the construction phase (0.36). Conclusions: This exploratory analysis suggests Social Network Analysis may be a useful tool to study organizations that collaborate to build trails for physical activity. During the distinct phases of trail-building, the role of collaborations changed. Some organizations were more important in the planning phase, grant writing or construction, while others (e.g. non-profit community organizations) were important throughout the entire process. Additionally, the density of social network increased as the trail projects progressed. The relationships between organizations were often weak but provided a flow of necessary information and skills to successfully build a trail. Future research should attempt to understand these time-dependent collaborations and encourage them in future trail and other built environment projects that support physical activity.

Thesis advisor: Michael Malec / This study explores the resettlement experiences of twenty-one Bhutanese refugees in Laconia, New Hampshire and Chelsea and Lynn, Massachusetts. Its purpose is to determine if place significantly affects a refugee’s success and satisfaction, and to assess the differences between those effects in urban and rural locations. In addition, this study seeks to determine if one kind of place, urban or rural, is better for resettlement than the other. It draws on the theories of assimilation, social networks, and social capital, as it strives to enter the sociology of immigration discourse. This qualitative study employed a mixed-method approach in attempting to answer its research questions. Semi-structured interviews and brief surveys were conducted with ten respondents in an urban location, Greater Boston, and eleven respondents in a rural location, Laconia, NH. The samples were recruited through snowball sampling methods. This study finds that in the rural location respondents had extensive in-group and out-group network connections, developed social capital, and feelings of safety and security, but they lacked employment and consequently economic stability. In the urban location respondents had a higher rate of employment, developed social capital, and a formal in-group network, however they lacked out-group network connections and felt unsafe in their neighborhoods. Therefore, the study concludes that there are specific characteristics of urban and rural places that affect a refugee’s sense of well-being; however, the positive and negative forces of these characteristics balanced out to have an equal effect on overall satisfaction. Where it is best to resettle each refugee may depend on his or her personal values and cultural background. While resettling refugees in one location or another may not solve resettlement issues, this research suggests that there are many systematic improvements to be made to better help refugees adapt and succeed in the United States. / Thesis (BA) — Boston College, 2011. / Submitted to: Boston College. College of Arts and Sciences. / Discipline: Sociology Honors Program. / Discipline: Sociology.