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Portland State ETM UNIVERSITY Directed Interaction Networks and their Impact on Social Media

机译:波特兰国家ETM大学指示互动网络及其对社交媒体的影响

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This paper discusses how gossip propagates through modern social media. We simulate 80 random directed interaction networks to address three questions: 1)Does information propagation and consumption impact network structure? 2)Does network structure impact information propagation and consumption? 3)How do information propagation, information consumption and network structure affect the ability to synchronize innovation? We find that network structure and synchronization of innovation are distinct phenomena. Information flow influences network structure, and conversely. Thus both virtuous and vicious cycles of innovation are possible. Furthermore, the ability to synchronize innovation goes up with network density, but the efficiency of the network decreases once the number of shortest paths decrease. These findings are of particular importance to marketing experts who want to propagate their messages through modern social media.
机译:本文讨论了Gossip如何通过现代社交媒体传播。我们模拟了80个随机定向的交互网络来解决三个问题:1)信息传播和消费影响网络结构吗? 2)网络结构是否会影响信息传播和消费? 3)信息传播,信息消耗和网络结构如何影响同步创新的能力?我们发现网络结构和创新同步是不同的现象。信息流影响网络结构,并相反。因此,既有良性和恶性的创新循环也是可能的。此外,同步创新的能力随网络密度上升,但是一旦最短路径的数量减小,网络的效率会降低。这些调查结果对想要通过现代社交媒体传播信息的营销专家特别重要。

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