Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 41 for “"Centrality Measures"”.
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GENERALIZING CENTRALITY MEASURES: AXIOMS AND PROPERTIES
Determinare l'importanza degli attori di una rete è uno dei problemi più studiati nella social network analysis. Non sorprendentemente, non c'è un unico significato possibile di importanza, e negli anni ne sono state proposte diverse interpretazioni, con lo scopo di catturare diverse nozioni di …
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Centrality measures as method to identify key stakeholders in family violence councils
… between members (e.g. organizations); centrality measures indicate which members in the network are central and prominent players in the setting. The current study applied three centrality measures in five councils to identify consistent patterns regarding which organizations tend to be …
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How to attribute credit if you must
… research, using citation network analysis and centrality measures. Katz centrality, in-degree centrality, and PageRank are three potentially useful centrality measures, with varying results: these are compared using case studies based on three papers co-authored by Andrei Shleifer. We use these …
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A context-based personalized ratings management system
… users. From social network theories, there exist centrality measures that can be used to determine the reputation of users in a network based on the number of in-degrees and out-degrees. However, different users in the network can have varying tastes and opinions with respect to a given context. …
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Complex Urban Road Networks: Static Structures and Dynamic Processes
… network. Specifically, we com- pute the various centrality measures and examine their distributions to capture the prevalent characteristics of these networks. We find different but consistent distributions for the considered centrality measures. Then we delve into a comparative analysis of the …
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Identifying powerful project stakeholders using workflow, communication and friendship social networks
… powerful stakeholders are identifiable by their centrality in the communication, workflow and friendship networks. Traditional stakeholder models rely on the abilities of the project manager to correctly attribute certain characteristics to stakeholders and thereby determine who is powerful or …
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From the Streets to the Tweets: Social Network Analysis of Canadian Street Gang Members and Their Use of Twitter, Facebook and Youtube
… employed social network analysis to test whether centrality measures can extrapolate gang roles within a gang member’s Twitter network. Using content analysis, the results demonstrated that the most prominent type of cyber-banging is content that promotes gang ideologies. The results also conclude …
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Diffusion, Infection and Social (Information) Network Database
… in social networks for which we suggest two new centrality measures, Diffusion Centrality and Covertness Centrality. Diffusion Centrality quantifies the influence of vertices in social networks with respect to a given diffusion model which explains how a diffusive property is spreading. …
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Network-based approach for post genome-wide association study analysis in admixed populations
… of interest. This network-based method applies centrality measures within linkage disequilibrium (LD) on the network to search for pathways and applies a scoring summary statistic on the resulting pathways to identify the most enriched pathways associated with complex diseases.
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On the Use of Network Control Techniques in Pursuit of Influence Spread in Complex Networks
… a correlation between global structural measures and the number of driver nodes. Experiments show that there is a strong relationship between density and the number of driver nodes. Next, the thesis investigates how the number of driver nodes identified at the level of individual …
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Social network analysis in college choice.
… taking Baylor University as a case study. Degree centrality and eigenvector centrality are two centrality measures used as interested independent variables. Findings reveal that peer groups have significant effects on college choice in terms of high school and home neighborhood networks. …
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The flux measure of influence in engineering networks
… differentiates among nodes that traditional centrality measures treat as identical units. The behavior and proper interpretation of the flux metric are demonstrated on a variety of weighted and directed networks. Simulations of fluid flow, opinion sharing, epidemic dynamics, and resource …
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CROSSING BORDERS: MEXICAN DRUG TRAFFICKING ORGANIZATIONS INFLUENCE ON INTERSTATE GANG STRUCTURE
… U.S. gangs and MDTOs. In addition, various centrality measures indicate the Sinaloa Cartel to have the broadest reach into the illicit drug market, as this cartel is affiliated with the highest number of gangs. The current study provides support for the continuance of multijurisdictional …
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A web API service for calculating credit attributable to authors
… citation network analysis and the calculation of centrality measures. In particular, I present a web service that is able to generate citation networks for a given piece of research and from them to efficiently calculate measures of the contribution of other papers to the research. I demonstrate …
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Robustness of complex supply chain networks to targeted attacks
… to nodes and edges using different hierarchical measures from network science to select the most relevant components, we evaluate the extent to which local centrality measures can estimate the relevance of a node in maintaining the connectivity and the efficient communication across the network. …
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The Betweenness Centrality Of Biological Networks
… we examine the vertex and edge betweenness centrality measures of these graphs. These measures capture how "central" a vertex or an edge is in the graph by considering the fraction of shortest paths that pass through that vertex or edge. Our primary observation is that the distribution of …
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Interacting with users in social networks : the follow-back problem
… programming heuristics that employ network centrality measures and a graph score we define as the follow-back score. We show that these heuristic policies perform well in simulation on a real Twitter network.
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Mutual information: inferring tie strength and proximity in bipartite social network data with non-metric associations
… a new method that used mutual information-based measures to represent tie strength or proximity between individuals from bipartite social network data with non-metric associations. Unlike network datasets with explicit links between nodes, bipartite networks provide only implicit indications of …
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Domestic migration networks in the United States
… in the United States. I utilize current-flow centrality measures to identify the most prominent nodes in this weighted network. Additionally, I use repeated applications of the Louvain community detection algorithm to identify reasonably robust communities within the migration network. These …
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The structure and evolution of the African air transport network
… Addis Ababa shows strong growth in node centrality, ending the period with the highest centrality across all observed centrality measures. Community detection reveals airport clusters that align with geographic regions, including African subregions and countries. k-coredecomposition …
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