Due to the increased number of the amount of asylum-seekers that have migrated to Sweden lately, the topic has received increased attention. This has contributed to housing shortage and policy reforms for new migrants to arise in order to ensure that everybody gets housing. Asylum seekers often experience more difficult patterns to housing, and for LGBT asylum seekers especially since they are such a marginalised group in our society already. Housing is an important part in the initial settlement stage and good housing enables successful resettlement and that will help with the integration process. The aim of this thesis is to look at LGBT asylum seekers mobility and what constrains and opportunities they face in that process. To answer these questions qualitative method and semi-structured life story interviews have been performed with twelve LGBT asylum seekers. The result of these interviews has been presented around four different concepts that were factors contributing to their mobility. These four concepts that were found in the interviews was forced migration, homophobia, social network and freedom. These findings should be of interest for further studies in order for LGBT asylum seekers mobility patters to become more safe and secure.

Job seekers and employers frequently make application and selection decisions based on how well they believe there is a ‘fit’ with the organization and job. The personenvironment fit literature has strongly supported this practice demonstrating that fit is an antecedent to attraction, selection, and attrition. What has been lacking, however, is evidence that once individuals enter the organization their fit relates to performance. Using a social network analytical lens, I develop a framework that integrates PE fit and social networks to explore antecedents to employee performance. Using this framework, I explore how informal workplace relationships may act as catalysts through which fit either enhances or detracts from individual performance, how fit might directly influence performance once the social context is taken into account, and how fit might make an individual an attractive exchange partner benefiting performance. Results suggest that PE fit is related to individual performance (both in- and extra-role) but that this relationship differs depending on how well embedded the employee is in the informal social networks of the organization. It is only when accounting for the ‘who you know’ element of organizational life that we can see how ‘who you are’ relates to performance.

Resource mobilization theory and political opportunity theory are often used to describe separate portions of social movements. This dissertation proposes a combined model of these two theoretical perspectives which describes how social movement organizations effectively engage in social marketing both online and offline. The field of social marketing highlights the utility of standard commercial marketing practices to achieve non-commercial goals. I argue that, while commercial marketing practices may benefit social movement organizations and are more cost effective given emerging technology, momentum for gathering resources, will be stifled unless a political opportunity presents itself. Guided by theory about the ways that political opportunities are translated into action by organizations, and momentum acquired through mobilizing resources, cycles of opportunity and resulting resource responses by housing social movement organizations are examined over time to present a case study for this theoretical model. The seemingly endless cycle of resource gathering underscores organizational mobilization of resources as a process rather than an outcome. My model outlines numerous forces that shape an organization’s ability to mobilize in two distinct ways, through resources deployed (online and offline) and resources gathered. Resources will be discussed in three categories: organizational characteristics, network structure/position, and media/Internet presence. The relative importance of these factors and this process are described at length in the review of theoretical literature and will be illustrated in the case study that I provide: the housing social movement. Data for this case study has been collected through hyperlink network analysis, general webometrics, and congressional archives. My research aims to provide suggestions for the strategic socio-technical networking and social marketing of social movement organizations.

My dissertation examines how individuals respond to workplace social comparisons. I measure the explicit set of referent others that individuals compare themselves against in order to evaluate their own level of performance. I examine how the social context of these comparisons impact discretionary performance related behaviors by examining how an individual’s position within a social network and the structural characteristics of an individual’s reference group influences the experience of discrete emotions. Specifically, I examine how malicious envy and benign envy mediate the relationship between social comparison and workplace behavior in a field setting. Results indicate that social network structure plays a significant role in motivating both productive and counterproductive responses to social comparison. Whether or not an employee responds to upward social comparisons by increasing their own work effort or engaging in deviant behavior is influenced by the experience of benign and malicious envy, which is in turn influencedby the network structure of reference groups. Furthermore, social network position plays a moderating role in the occurrence of workplace deviance by either enhancing or limiting the opportunities an employee has to engage in deviant behavior.

This paper provides insights on how five different frames of the Edward Snowden issue (Hero, Patriot, Traitor, Whistleblower, Dissident) have been diffused on the Twitter platform. This study uses NodeXL to collect, analyze and visualize all the tweets including the keyword “Edward Snowden” from February 17 to April 10, 2014 to examine the flow of information and the interaction between opinion leaders along with the characteristics of opinion leaders in this specific issue. Findings provide insight about future strategic communication for general branding and public image maintenance. / text

Given the increasing number of younger immigrants from China, we have noticed diversified performances of Chinese-American teenagers based on the age they come to the U.S. This thesis thus examines three specific aspects—assimilation, social network site (SNS) use, and reaction to Asian stereotype—of Chinese-American teenagers living in Austin, regarding intraethnic differences between and among different clusters of this cohort as the second generation immigrant. By employing semi-structured interviews conducted with teenagers who have respective immigrant history and family background, a wide array of patterns about assimilation, SNS use, and reaction to Asian stereotype are traced and analyzed alongside demonstrating outlines and traits in terms of different generation clusters (1.25ers, 1.5ers, 1.75ers and 2.0ers). A total of ten Chinese-American teenagers, aged from 15 to 18, are recruited and interviewed through snowball approach, allowing for the surface of intraethnic variations on the aforementioned aspects. Preliminary discussions are made to tease out how these three aspects are intertwined. / text

<p>Abstract</p><p>As online social network services are becoming one of the dominant media channels the importance of disseminating messages through them is of high importance for governments, organizations, companies etc. The online social network services are several and changes rapidly as they grow and evolve. Being networks, the services give the user the tools to send, as well as receive text and information. This proposes us with yet another obstacle in communication via online social network services since sender and receiver merges together.</p><p>Online social network services and the Blogosphere, which essentially also is a network, exist in the context of Web 2.0. The crucial feature of Web 2.0 is to a large degree the harnessing of collective intelligence i.e. the collection of individual knowledge and information. Many of the tools and sites within Web 2.0 are therefore of a network structure, hence further stressing the importance to communicate via networks in general.</p><p>Network Analysis is the discipline through which we can see and understand the larger patterns of networks. In this thesis I have looked into three key concepts of Network Analysis; Weak Links, Growth and Preferential Attachment. I have found that we can use the knowledge of Network Analysis to disseminate messages via online social network services since it provides us with the raw structures of how networks tend to grow, and how messages tend to disseminate.</p><p>Title: Web 2.0 and Network Society – PR and Communication: The Challenge of Online Social Networks</p><p>Number of pages: 34</p><p>Author: Max Tandefelt</p><p>Tutor: Else Nygren</p><p>Course: Media and Communication Studies C</p><p>Period: HT 07</p><p>University: Division of Media and Communication, Department of Information Science, Uppsala University.</p><p>Purpose/Aim: Facilitate message dissemination through online social network services, as they are becoming one of the dominant media channels</p><p>Material/Method: Network Analysis</p><p>Main results: I have presented crucial concepts of Network Analysis that can be used for message dissemination via online social network services</p><p>Keywords: Online Social Network Services, Network Analysis, Web 2.0, Message Dissemination</p>

Nowadays people and organizations are more and more interconnected in the forms of social networks: the nodes are social entities and the links are various relationships among them. The social network theory and the methods of social network analysis (SNA) are being increasingly used to study such real-world networks in order to support knowledge management and decision making in organizations. However, most existing social network studies focus on the static topologies of networks. The dynamic network link formation process is largely ignored. This dissertation is devoted to study such dynamic network formation process to support knowledge management and decision making in networked environments. Three challenges remain to be addressed in modeling and analyzing the dynamic network link formation processes. The first challenge is about modeling the network topological changes using longitudinal network data. The second challenge is concerned with examining factors that influence formation of links among individuals in networks. The third challenge is regarding link prediction in evolving social networks. This dissertation presents four essays that address these challenges in various knowledge management domains. The first essay studies the topological changes of a major international terrorist network over a 14-year period. In addition, this paper used a simulation approach to examine this network's vulnerability to random failures, targeted attacks, and real world authorities' counterattacks. The second essay and third essay focuses on examining determinants that significantly influence the link formation processes in social networks. The second essay found that mutual acquaintance and vehicle affiliations facilitate future co-offending link formation in a real-world criminal network. The third essay found that homophily in programming language preference, and mutual are determinants for forming participation links in an online Open Source social network. The fourth essay focuses on the link prediction in evolving social networks. It proposes a novel infrastructure for describing and utilizing the discovered determinants of link formation process (i.e. semantics of social networks) in link prediction to support expert recommendation application in an Open Source developer community. It is found that the integrated mechanism outperforms either user-based or Top-N most recognized mechanism.

Despite the fact that swidden agriculture has been the subject of decades of research, questions remain about the extent to which it is constrained by demographic growth and if it can adapt to environmental limits. In this dissertation I analyze ethnographic and ethnohistorical evidence from the Toledo District, Belize, and suggest that Q'eqchi' Maya swidden agriculture may be more ecologically adaptive than previously thought. I use social network analysis to examine farmer labor exchange networks from a chronosequence of five villages where swidden is used. Results suggest that changes in land-use patterns, network structure, and reciprocity rates may increase the system's resilience to changes in the forest's agricultural productivity. I develop a novel interpretation of labor reciprocity that highlights how unreciprocated exchanges, when they occur within the context of a social network, may limit overexploitation of a common property resource. These results are then interpreted in the context of panarchy theory; I suggest that the structural variability observed in labor exchange networks may explain how Q'eqchi' swidden maintains its identity under changing environmental conditions - a definition of resilience. Thus, the resulting picture of Q'eqchi' swidden is one of socioecological resilience rather than homeostasis; dynamic labor exchange networks help maintain a village's social cohesion, ultimately limiting pioneer settlements and slowing overall rates of deforestation. A historical and demographic analysis of market incursions into southern Belize supports this conclusion.

We study a message passing network where nodes keep a numeric attitude toward a subject. Messages are created by a message factory and each is sent to a random seed-node, which then gets eventually propagated in the network. Each message has some information about the subject, which is interpreted by the receiving node based on its features. Hence, the same message could be interpreted quite differently by two different nodes. Once a message is interpreted, the attitude of the node toward the subject is updated. In this setting, the thesis is that an external agent can influence (in a desired way) the average attitude of the network, by sending the messages to specific nodes (rather than sending them randomly) based on the message content. We call this agent a leader which its goal is to minimize (maximize) the average attitude of the network, and its actions are choosing one of the seed-nodes for a given message. The leader does not have any information about the nodes in advance, instead, it eventually learns the interests of the seed-nodes through sending messages and receiving the feedback of the network. We formulate this as a contextual bandit problem and study the effectiveness of a leader in different network configurations. Moreover, we study the case that there are two adversarial leaders, and present different policies and evaluate their effectiveness. Finally, we study the leader's performance when there are dynamic changes in the nodes features and network's topology.