标题:Self-avoiding pruning random walk on signed network
作者:Wang, Huijuan ;Qu, Cunquan ;Jiao, Chongze ;Rusze, Wioletta
作者机构:[Wang, Huijuan ;Qu, Cunquan ;Jiao, Chongze ;Rusze, Wioletta ] Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of 更多
来源:New Journal of Physics
出版年:2019
卷:21
期:3
DOI:10.1088/1367-2630/ab060f
摘要:A signed network represents how a set of nodes are connected by two logically contradictory types of links: positive and negative links. In a signed products network, two products can be complementary (purchased together) or substitutable (purchased instead of each other). Such contradictory types of links may play dramatically different roles in the spreading process of information, opinion, behaviour etc. In this work, we propose a self-avoiding pruning (SAP) random walk on a signed network to model e.g. a user's purchase activity on a signed products network. A SAP walk starts at a random node. At each step, the walker moves to a positive neighbour that is randomly selected, the previously visited node is removed and each of its negative neighbours are removed independently with a pruning probability r. We explored both analytically and numerically how signed network topological features influence the key performance of a SAP walk: the evolution of the pruned network resulted from the node removals, the length of a SAP walk and the visiting probability of each node. These findings in signed network models are further verified in two real-world signed networks. Our findings may inspire the design of recommender systems regarding how recommendations and competitions may influence consumers' purchases and products' popularity.
© 2019 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft.
收录类别:EI
资源类型:期刊论文
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