Hierarchical Sequencing of Online Social Graphs

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Provided by: Cornell University
Topic: Networking
Format: PDF
In online communications, patterns of conduct of individual actors and use of emotions in the process can lead to a complex social graph exhibiting multilayered structure and mesoscopic communities. Using simplicial complexes representation of graphs, the authors investigate in-depth topology of online social network which is based on MySpace dialogs. The network exhibits original community structure. In addition, they simulate emotion spreading in this network that enables to identify two emotion-propagating layers. The analysis resulting in three structure vectors quantifies the graph's architecture at different topology levels.
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