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  • 标题:Socii: A Tool to Analyze and Visualize Dynamic Social Networks
  • 本地全文:下载
  • 作者:Jorge Daniel Caldas ; Alda Lopes Gan{\c{c}}arski ; Pedro Rangel Henriques
  • 期刊名称:OASIcs : OpenAccess Series in Informatics
  • 电子版ISSN:2190-6807
  • 出版年度:2017
  • 卷号:56
  • 页码:15:1-15:7
  • DOI:10.4230/OASIcs.SLATE.2017.15
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:Social media network analysis represents a major challenge for data scientists in every aspect, since the extraction all the way to the visualization. Despite representing a major technological challenge, social media data analysis has an additional motivation, that is the daily usage in every country across the planet, making Online Social Network (OSN) a universal tool for communication, such as radio or TV, but with the technological flavor of the 21st century. In the present article, we propose a system, called Socii, for social networks analysis and visualization, as part of an ongoing work under a master's dissertation. This system overlaps two main scientific fields, sociology (more concisely social networks) and computer science. Socii aims at helping OSNs users to know and understand social structures through a user friendly interface. The system relies in four main principles, namely simplicity, accessibility, OSNs integration and contextual analysis.
  • 关键词:Social Networks; Online Social Networks; Social Network Analysis; Data Analytics
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