P4A Social Network Interaction is a module for clustering large number of social networks’ data based on their common features. By encoding the activities of the entities within the network as multi-modal and/or multi-parametric objects (the object-user may have many attributes), and by modelling the social network data into k-partite graphs we manage to efficiently categorize the entities into certain behavioral groups – provided that the positioning of the objects over the graph is based on the relevance of their attributes.
The following libraries are necessary for the execution of Social Network Interaction module. Older subversions may also be compatible:
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[Qt 5.5.1] (http://www.qt.io/download-open-source/) : Used to build the sample App.
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[Tweepy] (http://www.tweepy.org/) : Used to access the Twitter API.
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[C++ REST SDK] (https://casablanca.codeplex.com/) : Used to build the RESTful Web Services.
The research leading to these results has received funding from the European Union's Seventh Framework Programme (FP7) under grant agreement No.610510