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Understanding Twitter Dynamics With R and Gephi: Text Analysis and Centrality

Centrality and text analysis allow users to get more out of their social network data. Here’s how you can leverage them using R and Gephi.

12 minute readContinue Reading
Juan Manuel Ortiz de Zarate

Juan Manuel Ortiz de Zarate

Social Network Analysis in R and Gephi: Digging Into Twitter

Thanks to rapid advances in technology, large amounts of data generated on social networks can be analyzed with relative ease, especially for those who use the R programming language and Gephi.

9 minute readContinue Reading
Juan Manuel Ortiz de Zarate

Juan Manuel Ortiz de Zarate

Social Network APIs: The Internet’s Portal to the Real World

Many social networks provide APIs that enable the development of apps that expand their functionalities and grant access to user data and insights. This article compares popular social media APIs and gives examples of how to use them.

14 minute readContinue Reading
Behsaad Ramez

Behsaad Ramez

Data Mining for Predictive Social Network Analysis

Analysts have come to recognize social network data as a virtual treasure trove of information for sensing public opinion trends and groundswells of support. In this article, Toptal Engineer Elder Santos describes the techniques he employed for a proof-of-concept that effectively analyzed Twitter Trend Topics to predict, as a sample test case, regional voting patterns in the 2014 Brazilian presidential election.

7 minute readContinue Reading
Elder Santos

Elder Santos

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