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Influence Maximization on Mobile Social Network using Location based Community Greedy Algorithm
2015
International Journal of Computer Applications
A mobile social network plays an important role as the spread of information and influence in the form of "word-of-mouth". It is basic thing to find small set of influential people in a mobile social network such that targeting them initially. It will increase the spread of the influence .The problem of finding the most influential nodes in network is NP-hard. It has been shown that a Greedy algorithm with provable approximation guarantees can give good approximation. Community based Greedy
doi:10.5120/21810-5133
fatcat:diznpswoqvcf3eshcwypfmtlfy