Least Cost Influence Maximization Across Multiple Social Networks
نویسندگان
چکیده
منابع مشابه
Influence Maximization Across Partially Aligned Heterogenous Social Networks
The influence maximization problem aims at finding a subset of seed users who can maximize the spread of influence in online social networks (OSNs). Existing works mostly focus on one single homogenous network. However, in the real world, OSNs (1) are usually heterogeneous, via which users can influence each others in multiple channels; and (2) share common users, via whom information could pro...
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Information diffusion and influence maximization in social networks are well studied problems and various models and algorithms have been proposed. The main assumption in these studies is that the influence probabilities are known to the social planner. The influence probabilities, however can vary significantly with the type of the information and the time at which the information is propagati...
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Influence maximization is an important research topic which has been extensively studied in various fields. In this paper, a stigmergybased approach has been proposed to tackle the influence maximization problem. We modelled the influence propagation process as ant’s crawling behaviours, and their communications rely on a kind of biological chemicals, i.e., pheromone. The amount of the pheromon...
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Recently there has been tremendous research on influence analysis in social networks: how to find initial topics or users to maximize the word-of-mouth effect that may be significant for advertising, viral marketing and other applications. Many researchers focus on the problem of influence maximization on the static structure of the network and find a subset of early adopters which activate the...
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ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Networking
سال: 2016
ISSN: 1063-6692,1558-2566
DOI: 10.1109/tnet.2015.2394793