Topological stability and textual differentiation in human interaction networks: statistical analysis, visualization and linked data
This work reports on stable (or invariant) topological properties and textual differentiation in human interaction networks, with benchmarks derived from public email lists. Activity along time and topology were observed in snapshots in a timeline, and at different scales. Our analysis shows that ac...
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Format: | Others |
Language: | en |
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Biblioteca Digitais de Teses e Dissertações da USP
2017
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Online Access: | http://www.teses.usp.br/teses/disponiveis/76/76132/tde-11092017-154706/ |