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Crisis Management Using Centrality Measurement in Social Networks

机译:在社交网络中使用集中度度量的危机管理

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摘要

Increasing use of IP enabled smart gadgets, rapidly increasing the formation of cyber centric social networks. Any human discussion reflects its emotions and ego centric thoughts among the masses which results the formation of pro and anti-groups. Identification of various categories of groups and communities in social network is very important to eliminate the chances of human created crisis. This paper predicts the migration of individuals from one community to other community and the person who bridges the two communities. The prediction of social networks is carried out by mapping various epidemic models on human created social network. The centrality measurement detects the bridging element between two communities.
机译:越来越多地使用支持IP的智能设备,从而迅速增加了以网络为中心的社交网络的形成。任何人类的讨论都反映了它在群众中的情感和以自我为中心的思想,从而导致了赞成团体和反对团体的形成。识别社交网络中各种类别的团体和社区,对于消除人为制造危机的机会非常重要。本文预测了个人从一个社区迁移到另一个社区以及桥接两个社区的人。社交网络的预测是通过在人类创建的社交网络上绘制各种流行病模型来进行的。中心度测量可检测两个社区之间的桥接元素。

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