Open AccessJournal Article
Encyclopedia of Social Network Analysis and Mining
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This article is published in Springer US.The article was published on 2014-01-01 and is currently open access. It has received 56 citations till now. The article focuses on the topics: Social network & Social network analysis (criminology).read more
Citations
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Journal ArticleDOI
Randomizing bipartite networks: the case of the World Trade Web
TL;DR: Interestingly, the behavior of the World Trade Web in this new bipartite representation is strongly different from the monopartite analogue, showing highly non-trivial patterns of self-organization.
Journal ArticleDOI
Performance of social network sensors during Hurricane Sandy.
TL;DR: It is found that differences in users’ network centrality effectively translate into moderate awareness advantage (up to 26 hours); and that geo-location of users within or outside of the hurricane-affected area plays a significant role in determining the scale of such an advantage.
High Quality Graph Partitioning
TL;DR: An overview over the graph partitioners KaFFPa (Karlsruhe Fast Flow Partitioner) and KaFFE (KaFFPa Evolutionary) is presented, which are a multilevel graph partitioning algorithm which on the one hand uses novel local improvement algorithms based on max-flow and min-cut computations and more localized FM searches and which uses more sophisticated global search strategies transferred from multi-grid linear solvers.
Journal ArticleDOI
Discovering suspicious behavior in multilayer social networks
TL;DR: This paper proposes a pioneer approach namely ADOMS (Anomaly Detection On Multilayer Social networks), an unsupervised, parameter-free, and network feature-based methodology, that automatically detects anomalous users in a multilayer social network and rank them according to their anomalousness.
Journal ArticleDOI
Detangler: Visual Analytics for Multiplex Networks
TL;DR: Detangler is presented, a system that supports visual analysis of group cohesion in multiplex networks through dual linked views that allows the user to analyze the complex structure of the multiplex network without the extreme visual clutter that would result from simply showing it directly.
References
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Journal ArticleDOI
Randomizing bipartite networks: the case of the World Trade Web
TL;DR: Interestingly, the behavior of the World Trade Web in this new bipartite representation is strongly different from the monopartite analogue, showing highly non-trivial patterns of self-organization.
Journal ArticleDOI
Performance of social network sensors during Hurricane Sandy.
TL;DR: It is found that differences in users’ network centrality effectively translate into moderate awareness advantage (up to 26 hours); and that geo-location of users within or outside of the hurricane-affected area plays a significant role in determining the scale of such an advantage.
High Quality Graph Partitioning
TL;DR: An overview over the graph partitioners KaFFPa (Karlsruhe Fast Flow Partitioner) and KaFFE (KaFFPa Evolutionary) is presented, which are a multilevel graph partitioning algorithm which on the one hand uses novel local improvement algorithms based on max-flow and min-cut computations and more localized FM searches and which uses more sophisticated global search strategies transferred from multi-grid linear solvers.
Journal ArticleDOI
Discovering suspicious behavior in multilayer social networks
TL;DR: This paper proposes a pioneer approach namely ADOMS (Anomaly Detection On Multilayer Social networks), an unsupervised, parameter-free, and network feature-based methodology, that automatically detects anomalous users in a multilayer social network and rank them according to their anomalousness.
Journal ArticleDOI
Detangler: Visual Analytics for Multiplex Networks
TL;DR: Detangler is presented, a system that supports visual analysis of group cohesion in multiplex networks through dual linked views that allows the user to analyze the complex structure of the multiplex network without the extreme visual clutter that would result from simply showing it directly.