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Socii: A Tool to Analyze and Visualize Dynamic Social Networks

Authors: Jorge Daniel Caldas, Alda Lopes Gançarski, and Pedro Rangel Henriques

Published in: OASIcs, Volume 56, 6th Symposium on Languages, Applications and Technologies (SLATE 2017)


Abstract
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.

Cite as

Jorge Daniel Caldas, Alda Lopes Gançarski, and Pedro Rangel Henriques. Socii: A Tool to Analyze and Visualize Dynamic Social Networks. In 6th Symposium on Languages, Applications and Technologies (SLATE 2017). Open Access Series in Informatics (OASIcs), Volume 56, pp. 15:1-15:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)


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@InProceedings{caldas_et_al:OASIcs.SLATE.2017.15,
  author =	{Caldas, Jorge Daniel and Gan\c{c}arski, Alda Lopes and Henriques, Pedro Rangel},
  title =	{{Socii: A Tool to Analyze and Visualize Dynamic Social Networks}},
  booktitle =	{6th Symposium on Languages, Applications and Technologies (SLATE 2017)},
  pages =	{15:1--15:7},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-056-9},
  ISSN =	{2190-6807},
  year =	{2017},
  volume =	{56},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Leal, Jos\'{e} Paulo and Varanda, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2017.15},
  URN =		{urn:nbn:de:0030-drops-79492},
  doi =		{10.4230/OASIcs.SLATE.2017.15},
  annote =	{Keywords: Social Networks, Online Social Networks, Social Network Analysis, Data Analytics}
}
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