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Interest aware influential information disseminators in social networks

In recent days, finding influential disseminators in social networks has become a crucial issue due to its importance in the spread control of information, product advertisement, and rumor control. Most current researches on influencer identification are focused on topological factors such as coreness, centrality, and degree distribution. But these methods do not consider the interest of receiver though it plays a vital role in carrying information forward. To consider the receiver’s interest in finding influential spreaders, this paper proposes a robust and reliable two-step influencer finder model which considers the individual’s interest on spreader as well as the spreading information. This approach combines the individual’s location and the interest on the neighbor/topic. In step 1, a novel method to find a trust vertex of spreaders is proposed. In step 2, a weighted neighborhood centrality method is proposed to identify one or more influential spreaders using the trust vertex. The experiments conducted on six different datasets to prove the effectiveness of the proposed approach. The results show that the proposed approach is better than other recent and well-known state-of-the-art algorithms

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