By Mrutyunjaya Panda, Satchidananda Dehuri, Gi-Nam Wang
With the proliferation of social media and online groups in networked international a wide gamut of knowledge has been accrued and kept in databases. the speed at which such information is saved is transforming into at a gorgeous expense and pushing the classical equipment of knowledge research to their limits. This ebook offers an built-in framework of modern empirical and theoretical learn on social community research in keeping with a variety of ideas from a number of disciplines like facts mining, social sciences, arithmetic, information, physics, community technological know-how, computing device studying with visualization strategies and protection. The e-book illustrates the possibility of multi-disciplinary innovations in numerous actual existence difficulties and intends to encourage researchers in social community research to layout better instruments through integrating swarm intelligence and knowledge mining.
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Extra resources for Social Networking: Mining, Visualization, and Security
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Two methods were discussed to identify the set of influencers, employing measures of network centrality. We then look at multiple sources of information and consider both the cases where the sources collaborate or compete with each other. Finally we look at the problem of locating the source of diffusion in a social networks. Both, techniques that assume full knowledge of the network and those that do not are presented. Several challenges still remain in this area of study including optimal placement of sensors in the networks to aid in zeroing in on the sources of diffusion, finding the source of diffusion when the diffusion graph is not completely known, etc.
Social Networking: Mining, Visualization, and Security by Mrutyunjaya Panda, Satchidananda Dehuri, Gi-Nam Wang