Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH scholarly article en Caldas, Jorge Daniel; Gançarski, Alda Lopes; Henriques, Pedro Rangel https://www.dagstuhl.de/oasics License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
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URN: urn:nbn:de:0030-drops-79492
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Socii: A Tool to Analyze and Visualize Dynamic Social Networks

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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.

BibTeX - Entry

@InProceedings{caldas_et_al:OASIcs:2017:7949,
  author =	{Jorge Daniel Caldas and Alda Lopes Gan{\c{c}}arski and Pedro Rangel Henriques},
  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 =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-056-9},
  ISSN =	{2190-6807},
  year =	{2017},
  volume =	{56},
  editor =	{Ricardo Queir{\'o}s and M{\'a}rio Pinto and Alberto Sim{\~o}es and Jos{\'e} Paulo Leal and Maria Jo{\~a}o Varanda},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7949},
  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}
}

Keywords: Social Networks, Online Social Networks, Social Network Analysis, Data Analytics
Seminar: 6th Symposium on Languages, Applications and Technologies (SLATE 2017)
Issue date: 2017
Date of publication: 04.10.2017


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