Micro analysis. At this level, the use of the analyis can be done with your own data or a subset of the social data that one may have access to. This may provide answers to recommendations based on your tastes or the tastes of your friends, or at the level of understanding for each of the communities found in a large social network, how those communities influence other communities, or how people in each community interact and become influencers of their peers. In this, graph databases both for servers and for smaller scale mobile devices like Sparksee high-performance graph database.
Macro analysis. At a larger level, one may require the analysis of large networks, where interesting measures like cetrality, or the use of algorithms such as, community search, are important. In this case, the importance of specific algorithms like SCD for community search, or platforms like Apache Giraph! can be very useful to obtain interesting metrics or algorithms executed for large graphs.
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