关于加权网络的流言
Gossip on Weighted Networks
摘要：
我们研究如何适合加权网络是八卦传播。该模型是基于Lind等人在未加权网络上提出的流言传播模型。体重代表“友谊。如果流言的受害者是一个“亲密的朋友”，潜在的传播者宁愿不传播。流言传播与三角形和三角形级联有关。它提供了关于网络结构的更多见解。我们分析了在真实的加权人际互动网络上传播的八卦。研究了6个共现网络和7个社会模式网络。流言传播被认为是一个很好的参数，以区分同现和社会模式的网络。作为比较，本文还研究了一些混杂网络和基于ER、BA、WS模型的计算机生成网络。它们被发现与人类互动网络有很大不同。
英文摘要：
We investigate how suitable a weighted network is for gossip spreading. The proposed model is based on the gossip spreading model introduced by Lind et.al. on unweighted networks. Weight represents "friendship." Potential spreader prefers not to spread if the victim of gossip is a "close friend". Gossip spreading is related to the triangles and cascades of triangles. It gives more insight about the structure of a network. We analyze gossip spreading on real weighted networks of human interactions. 6 co-occurrence and 7 social pattern networks are investigated. Gossip propagation is found to be a good parameter to distinguish co-occurrence and social pattern networks. As a comparison some miscellaneous networks and computer generated networks based on ER, BA, WS models are also investigated. They are found to be quite different than the human interaction networks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
