A trust model for spreading gossip in social networks: a multi-type bootstrap percolation model
A trust model for spreading gossip in social networks: a multi-type bootstrap percolation model
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DOI：
10.1098/rspa.2019.0826
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发表时间：
2020-03-25
影响因子：
3.5
通讯作者：
Schaposnik, Laura P.
中科院分区：
文献类型：
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作者：
Bhansali, Rinni;Schaposnik, Laura P.
本文提出了一种多类型的自举逾渗模型T-Bootstrap Percolation（T-BP），并将其应用于社交网络中的信息传播研究。在这个模型中，社交网络由图G表示，图G的顶点具有与人在网络中扮演的角色类型（例如，学生，教育者等）相对应的不同标签。一旦G的初始顶点集合被随机选择为携带流言（例如，被感染），流言传播到新的顶点，只要它被具有不同标签的顶点的最小阈值传输。通过考虑随机图，这已被证明是密切代表社交网络，我们研究了不同的性质的T-BP模型通过数值模拟，并描述其应用于谣言传播，假新闻和营销策略时的影响。
We introduce here a multi-type bootstrap percolation model, which we call T-Bootstrap Percolation (T-BP), and apply it to study information propagation in social networks. In this model, a social network is represented by a graph G whose vertices have different labels corresponding to the type of role the person plays in the network (e.g. a student, an educator etc.). Once an initial set of vertices of G is randomly selected to be carrying a gossip (e.g. to be infected), the gossip propagates to a new vertex provided it is transmitted by a minimum threshold of vertices with different labels. By considering random graphs, which have been shown to closely represent social networks, we study different properties of the T-BP model through numerical simulations, and describe its implications when applied to rumour spread, fake news and marketing strategies.