Analyzing User Activities Using Vector Space Model in Online Social Networks

Sarkar, Dhrubasish, Jana, Premananda

arXiv.org Machine Learning 

The increasing popularity of internet, wireless technologies and mobile devices has led to the birth of mass connectivity and online interaction through Online Social Networks (OSNs) and similar environments. OSN reflects a social structure consist of a set of individuals and different types of ties like connections, relationships, interactions etc among them and helps its users to connect with their friends and common interest groups, share views and to pass information. Now days the u sers choose OSN sites as a most preferred place for sharing their updates, different views, posting photographs and would like to make it available for others for viewing, rating a nd making comments. Th e current paper aims to explore and analyze the association between the objects (like photographs, posts etc) and its viewers (friends, acquaintances etc) for a given user and to find activity relationship amo ng them by using the TF - I DF scheme of Vector Space Model. After vectorization the vector data has been presented through a weighted graph with various properties .

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