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Socii: A Tool to Analyze and Visualize Dynamic Social Networks

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

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Keywords
  • Social Networks
  • Online Social Networks
  • Social Network Analysis
  • Data Analytics

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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.

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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) https://doi.org/10.4230/OASIcs.SLATE.2017.15

Author Details

Jorge Daniel Caldas
Alda Lopes Gançarski
Pedro Rangel Henriques

References

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