• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 230
  • 96
  • 33
  • 24
  • 24
  • 21
  • 16
  • 10
  • 6
  • 5
  • 3
  • 3
  • 2
  • 2
  • 2
  • Tagged with
  • 586
  • 586
  • 586
  • 106
  • 96
  • 88
  • 79
  • 55
  • 51
  • 50
  • 50
  • 48
  • 46
  • 45
  • 43
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Community Mining: Discovering Communities in Social Networks

Chen, Jiyang 11 1900 (has links)
Much structured data of scientific interest can be represented as networks, where sets of nodes or vertices are joined together in pairs by links or edges. Although these networks may belong to different research areas, there is one property that many of them do have in common: the network community structure, which means that there exists densely connected groups of vertices, with only sparser connections between groups. The main goal of community mining is to discover these communities in social networks or other similar information network environments. We face many deficiencies in current community structure discovery methods. First, one similarity metric is typically applied in all networks, without considering the differences in network and application characteristics. Second, many existing methods assume the network information is fully available, and one node only belongs to one cluster. However, in reality, a social network can be huge thus it is hard to access the complete network. It is also common for social entities to belong to multiple communities. Finally, relations between entities are hard to understand in heterogeneous social networks, where multiple types of relations and entities exist. Therefore, the thesis of this research is to tackle these community mining problems, in order to discover and evaluate community structures in social networks from various aspects.
2

Community Mining: Discovering Communities in Social Networks

Chen, Jiyang Unknown Date
No description available.
3

Mapping Extremism: The Network Politics of the Far-Right

Jones, Shannon 12 August 2016 (has links)
In recent decades, political parties espousing extreme nationalist, xenophobic, and even outright racist platforms have enjoyed variable success in national elections across Europe. While a vibrant research literature has sought to better understand the sources of support for such parties, remarkably little attention has been paid to the interplay between parties and the broader social networks of extremism in which they are embedded. To remedy this deficiency, the present study examines the relations between far-right parliamentary parties and their extra-parliamentary networks. One level of analysis tests whether there is a relationship between a party’s position within a network and its sustainability. Social network analysis is employed to assess the nature and structure of ties between Belgian organizations online. In addition, systematic textual analysis of website content is used to determine how a party’s ideological position within the network impacts its sustainability. The second level of analysis is a qualitative study based on in-depth interviews with members of Flemish nationalist organization in order to better understand how actors experience social networks. Evidence suggests that the most sustainable parties are those that have dense connections with other nationalist organizations. Mapping relations between far-right parties that compete openly within the rules of institutionalized democracy and their wider social networks can provide important policy-relevant insight into contemporary challenges posed by illiberal forces.
4

Social Partnerships for Educational and Community Change

Fagan, Kyle January 2018 (has links)
Thesis advisor: Patrick McQuillan / The challenges facing our communities are complex, interconnected, and urgent (Kania & Kramer, 2011). Recognizing these challenges, policy makers, funders, and practitioners are turning to social partnerships as a promising strategy for community and educational change (Bess, 2015; Henig et al., 2015). Social partnerships involve the joining together of organizations from across sectors of society to tackle social problems (Crane & Seitanidi, 2014). The underlying premise of the Promise Neighborhoods program, one such social partnership, is that providing access to resources, services, and supports in a comprehensive manner will have the greatest effect on educational and community outcomes (U.S. Department of Education, 2018). This study seeks to shed light on the process of initiating and implementing a social partnership. In this study the author employed a two-phased, mixed methods design using social network analysis and interviews with organizational representatives to examine the network structures of communication and collaboration within one Promise Neighborhoods initiative: the Boston Promise Initiative. The sample for the social network analysis consisted of 33 individuals from 27 partner organizations. Further, follow-up interviews with 11 individuals were held to understand how network structures and processes might impact educational and community change. Findings from the social network analysis and qualitative interviews reveal networks of communication and collaboration rooted in a deep history of place-based change efforts, facilitating access to network resources and social capital among partner organizations. The findings highlight the importance of recognizing both challenges and opportunities of partnering with schools. Further, the findings highlight the importance of a lead organization’s ability to attend to both technical processes, such as facilitating communication among partners, and cultural processes, such as negotiating organizational identity. Taken together, the findings from this study point to the complex nature of cross-sector collaboration and identify structural factors and network processes that may impact the success of the efforts. By better understanding the structure and processes inherent in social partnerships, organizations can be better supported as they develop and implement cross-sector initiatives aimed at making meaningful change in their communities. / Thesis (PhD) — Boston College, 2018. / Submitted to: Boston College. Lynch School of Education. / Discipline: Teacher Education, Special Education, Curriculum and Instruction.
5

Sustaining interdisciplinary research : a multilayer perspective

Hultin, Alex January 2018 (has links)
Interdisciplinary Research (IDR) has received a lot of attention from academics, policy-makers, and decision-makers alike. RCUK invests £3 billion in research grants each year (RCUK 2017); half of the grants are provided to investigators who hail from different departments. There is mounting awareness of the challenges facing IDR, and a large body of literature trying to establish how IDR can be analysed (Davidson 2015, Yegros-Yegros, Rafols et al. 2015). Of these, the majority have been qualitative studies and it has been noticed that there is a distinct lack of quantitative studies that can be used to identify how to enable IDR. The literature shows that many of the barriers to IDR can be classified as either cultural or administrative (Katz and Martin 1997, Cummings and Kiesler 2005, Rafols 2007, Wagner, Roessner et al. 2011), neither of which are easily changed over a short period of time. The perspective taken in this research is that change can be affected by enabling the individuals who conduct IDR. Herein lies the main challenge; how can these future leaders of IDR be identified so that they can be properly supported. No existing datasets were deemed suitable for the purpose, and a new dataset was created to analyse IDR. To isolate dynamics within an organisation, hard boundaries were drawn around research-organisations. The University of Bath journal co-authorship dataset 2000-2017 was determined to be suitable for this purpose. From this dataset a co-authorship network was created. To analyse this, established models from literature were adapted and used to identify differences in disciplinary and interdisciplinary archetypes. This was done through a correlational study. No statistically significant differences between such author archetypes were found. It was therefore concluded that an alternative approach was necessary. By adapting the networks framework to account for different types of links between edges, a multilayer perspective was adopted. This resulted in a rank-3 tensor, node-aligned framework being proposed, allowing disciplines to be represented in the network. By using this framework to construct the University of Bath multiplex co-authorship network, an exemplar structure was established through use of a series of proposed structural metrics. A growth model was proposed and successfully recreated the structure and thereby uncovered mechanics affecting real-world multiplex networks. This highlighted the importance of node entities and the layer closeness centrality. This implies that it is very difficult to carry over benefits across disciplines, and that some disciplines are better suited to share and adapt knowledge than others. The growth model also allowed an analytical expression for the rate of change of disciplinary degree, thereby providing a model for who is most likely to enable and sustain IDR.
6

COMMUNITY MINING AND ITS APPLICATIONS IN EDUCATIONAL ENVIRONMENT

Rabbany khorasgani, Reihaneh 11 1900 (has links)
Information networks represent relations in data, relationships typically ignored in iid (independent and identically distributed) data. Such networks abound, like coauthorships in bibliometrics, cellphone call graphs in telecommunication, students interactions in Education, etc. A large body of work has been devoted to the analysis of these networks and the discovery of their underlying structure, specifically, finding the communities in them. Communities are groups of nodes in the network that are relatively cohesive within the set compared to the outside. This thesis proposes Top Leaders, a fast and accurate community mining approach for both weighted and unweighted networks. Top Leaders regards a community as a set of followers congregating around a potential leader and works based on a novel measure of closeness inspired by the theory of diffusion of innovations. Moreover, it proposes Meerkat-ED, a specific and practical toolbox for analyzing students interactions in online courses. It applies social network analysis techniques including community mining to evaluate participation of students in asynchronous discussion forums.
7

COMMUNITY MINING AND ITS APPLICATIONS IN EDUCATIONAL ENVIRONMENT

Rabbany khorasgani, Reihaneh Unknown Date
No description available.
8

Strategies of Resistance

Cramer, Jacob M. January 2015 (has links)
Political resistance is manifested in a variety of ways, including violent and nonviolent methods. Though violence and nonviolence are often treated as analytically distinct phenomena, this dissertation argues that there is value in understanding how the methods are related, and how underlying factors lead to the use of one over the other. There are many resistance groups which use a combination of both violent and nonviolent tactics, and only by examining these methods in conjunction with one another can we more fully understand their use. To understand the efficacy of jointly examining violent and nonviolent tactics, this dissertation addresses the topic from three primary perspectives. The introductory chapter offers the primary questions and puzzles this dissertation will explore. Following that, chapter two, is the first primary perspective to be addressed: the individual level. The arguments in chapter two revolve around personal networks, and the characteristics of those networks that impact views on the use of nonviolence by violent groups. Chapter three takes a state and environmental perspective, and identifies factors unique to the state and their impact on the likelihood of violence and nonviolence. Chapter four examines organizations as the unit of analysis, and inter-organizational characteristics are assessed for their impact on the use of nonviolence by violent groups. The concluding chapter brings together the insights gained from the empirical chapters, and offers suggestions for future efforts. Overall, I find that violent and nonviolent tactics share underlying correlates that impact their use, and that their joint examination offers insights on group behavior otherwise unavailable. A unified approach to the range of conflict methods offers new insight and understanding to conflict and conflict processes.
9

The cosmopolitan play : a biographical network approach

Armitage, Neil January 2012 (has links)
The 'Cosmopolitan Play' is used as a metaphor to reflect the multiple contexts and ways that people act and play with the 'other' in the contemporary global era. The study expands the cosmopolitan perspective by questioning a widely held assumption in much of the existing literature that cosmopolitanism and a 'cosmopolitan stance' (Hannerz 1990) - an openness and willingness to engage with the 'other' - is associated with mobile people. This assumption has led to three dimensions being mainly ignored in the literature, these are: 1) a 'middle group' of movers that are neither mobile elites nor displaced people, 2) the significance of non-movers, and 3) temporality. Rather than defining the cosmopolitan stance as an elite identity, in this study it is seen as the reflexive contestation of essentialised identities formed around social boundaries such as those based on nationality, social class, ethnicity, religion and so forth (Jones 2007). Hence, the overarching research question posed is how may someone evolve a cosmopolitan stance? To answer this, a biographical network approach was developed to analyse in tandem the life stories and ego-networks of 28 non-elite young (aged 23-35) British and Spanish movers and non-movers living in Madrid and Manchester in terms of their cosmopolitan conviviality - the extent and quality of personal relationships initiated and maintained through face-to-face social interaction with others that are objectively different. The approach follows three axes of investigation: convivial horizons (x), people's social interactions across national boundaries; convivial depths (y), people's social interactions across social class, ethnic, religious and other social boundaries, within and across national boundaries; and convivial paths (z), the wider biographical contexts of people's interactions. The study's findings lend support to the critique of equating mobility with cosmopolitanism (Glick Schiller et al. 2011), yet they show that mobility inside and outside national boundaries together with subsequent settlement is influential for whether people not only transcend social boundaries, but also contest them. Additionally, while nationality, class, gender and so forth shape the parameters of people's cosmopolitan conviviality and the articulation thereof, they were not seen as decisive in the openness and willingness of people to engage with the 'other'. Instead, a life path that demanded the negotiation of uncertainty and unfamiliarity from an early age due to either familial problems or difficulties of fitting in at school or the wider 'home' environment was influential in the evolution of a more cosmopolitan convivial stance. The intersection of each axis culminates in a three dimensional view which shows how someone evolves one of four broad but distinctive convivial spheres and stances: national, metropolitan, trans-national and cosmopolitan. The theoretical underpinnings of the biographical network approach enable more complexity and detail of the cosmopolitan play to be captured, which in turn enhances the cosmopolitan perspective. The study illustrates how methods can be mixed in a qualitatively driven way (Mason 2006), and demonstrates the added value of combining qualitative and quantitative methods in network analysis (Crossley 2010, Edwards 2010, Hollstein 2011).
10

Using Social Network Analysis to Examine the Impact of a Teacher-Implemented Social Inclusion Intervention

Kassab, Hannah Dolores January 2020 (has links)
No description available.

Page generated in 0.0915 seconds