Online Social Networks Analysis Visualization Using Socii
Nowadays we face an age of massive Internet usage. With Online Social Networks (OSN) we practically live this parallel reality where everything we do and everyone we met is exposed and shared through these online “worlds”. Today, being able to study and understand how information flows and how relationships are built within these online networks is of paramount importance for various reasons, social, educational, political or economical. That is why social networks analysis has become an important scientific and technological challenge. In this paper, we propose the Socii system for social networks analysis and visualization. Socii aims at helping OSNs users to exploit and understand their own networks through a user friendly interface. The system relies in four main principles, namely simplicity, accessibility, OSNs integration and contextual analysis. Socii’s architecture and implementation technological choices are presented, together with its main functionalities.
KeywordsOnline Social Networks Social networks analysis Data visualization
This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013.
- 1.Stanford Pritchard Lab: Structure software (2000). http://pritchardlab.stanford.edu/structure.html. Accessed 22 Nov 2017
- 2.Bastian, M., Heymann, S., Jacomy, M., et al.: Gephi: an open source software for exploring and manipulating networks. ICWSM 8, 361–362 (2009)Google Scholar
- 3.Freeman, S., MacEvoy, B.: Ucinet software (2002). https://sites.google.com/site/ucinetsoftware/home
- 4.Borgatti, S.P.: NetDraw: graph visualization software. Harvard: Analytic Technologies (2002)Google Scholar
- 5.Kalamaras, D.V.: SocNetV (2004). http://socnetv.org/
- 6.MongoDB Home page: MongoDB. NoSQL Database (2009)Google Scholar
- 7.Selenium Documentation: Selenium webdriver. Selenium HQ, February 2013Google Scholar
- 9.Ronacher, A.: Flask (a python microframework) (2015)Google Scholar
- 11.Hagberg, A., Schult, D., Swart, P., Conway, D., Séguin-Charbonneau, L., Ellison, C., Edwards, B., Torrents, J.: Networkx. High productivity software for complex networks. Webová strá nka (2013). https://networkx.lanl.gov/wiki
- 12.Bostock, M.: D3. js. Data Driven Documents, 492 (2012)Google Scholar
- 13.Caldas, J.D.: Analysis and Visualization of Dynamic Social Networks. Minho University, Braga (2017)Google Scholar