Perspectivism as a basis for social network analysis: some results from Twitter

Authors

  • Rodrigo Travitzki
  • Marco Toledo Bastos
  • Rafael Luís Galdini Raimundo

DOI:

https://doi.org/10.30962/ec.809

Keywords:

social network, Twitter, Perspectivism, opinion leader, software

Abstract

This article presents a methodology for analysis of variables that influence the dissemination of information on the social network Twitter. We analyze data from 595,240 messages produced by 261,757 users and we found three local variables related to the degree of replication of messages (retweet): 1) the number of responses received (which explained an average of 21% of the retweets); 2) the number of followers in the subnetwork (17%) and 3) the number of tweets with the hashtag (7%). Comparing a priori variables (global) and posteriori ones (local), there was a significant difference in the number of followers of messages (p<0.001) and also in the number of friends (p<0.01). The higher explanatory power of the local variables suggests a self-organized character of the Trending Topics, indicating paths for future research based on perspectivist epistemology. These results can also help to delineate methods for ranking and segmentation of users. Keywords Social network. Twitter. Perspectivism.Influential people. Software.

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Published

10-01-2013

How to Cite

Travitzki, R., Bastos, M. T., & Raimundo, R. L. G. (2013). Perspectivism as a basis for social network analysis: some results from Twitter. E-Compós, 15(3). https://doi.org/10.30962/ec.809

Issue

Vol. 15 No. 3 (2012)

Section

Special Issue

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