Real-time community detection in full social networks on a laptop.

ABSTRACT: For a broad range of research and practical applications it is important to understand the allegiances, communities and structure of key players in society. One promising direction towards extracting this information is to exploit the rich relational data in digital social networks (the social graph). As global social networks (e.g., Facebook and Twitter) are very large, most approaches make use of distributed computing systems for this purpose. Distributing graph processing requires solving many difficult engineering problems, which has lead some researchers to look at single-machine solutions that are faster and easier to maintain. In this article, we present an approach for analyzing full social networks on a standard laptop, allowing for interactive exploration of the communities in th

SUBMITTER: Chamberlain BP 

PROVIDER: S-EPMC5771570 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature