Borge-Holthoefer Javier, Moreno Yamir
Instituto de Biocomputación y Física de Sistemas Complejos, Universidad de Zaragoza, 50018 Zaragoza, Spain.
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Feb;85(2 Pt 2):026116. doi: 10.1103/PhysRevE.85.026116. Epub 2012 Feb 23.
Recent research [Kitsak, Gallos, Havlin, Liljeros, Muchnik, Stanley, and Makse, Nature Physics 6, 888 (2010)] has suggested that coreness, and not degree, constitutes a better topological descriptor to identify influential spreaders in complex networks. This hypothesis has been verified in the context of disease spreading. Here, we instead focus on rumor spreading models, which are more suited for social contagion and information propagation. To this end, we perform extensive computer simulations on top of several real-world networks and find opposite results. Namely, we show that the spreading capabilities of the nodes do not depend on their k-core index, which instead determines whether or not a given node prevents the diffusion of a rumor to a system-wide scale. Our findings are relevant both for sociological studies of contagious dynamics and for the design of efficient commercial viral processes.
近期研究[基萨克、加洛斯、哈夫林、利耶罗斯、穆奇尼克、斯坦利和马克塞，《自然物理学》6，888（2010年）]表明，核心度而非度，构成了一种更好的拓扑描述符，用于识别复杂网络中有影响力的传播者。这一假设已在疾病传播的背景下得到验证。在此，我们转而关注谣言传播模型，其更适合社会传染和信息传播。为此，我们在多个真实网络上进行了广泛的计算机模拟，并得出了相反的结果。也就是说，我们表明节点的传播能力并不取决于它们的k-核指数，而k-核指数反而决定了给定节点是否会阻止谣言扩散到全系统范围。我们的研究结果对于传染性动态的社会学研究以及高效商业病毒式传播过程的设计都具有重要意义。
