Showing 1-4 of 4 results

Juan Manuel Ortiz de Zarate

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

By Juan Manuel Ortiz de Zarate
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

Social Network Analysis in R and Gephi: Digging Into Twitter

By Juan Manuel Ortiz de Zarate
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
Behsaad Ramez

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

By Behsaad Ramez
Social networks are a rich source of user information. From a person’s current mood to endless streams of photos, there is by now probably a social network for each aspect of human life. From the development side, access to users' information can be an essential element in providing a truly personalized experience in any application. In this article, Toptal Freelance Software Engineer Behsaad Ramez shows us how the APIs of some of these social networks stack against each other and how they may be leveraged to accumulate precious information about users.
14 minute readContinue Reading
Elder Santos

Data Mining for Predictive Social Network Analysis

By Elder Santos
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

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