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Network Disintegration in Criminal Network

机译:犯罪网络中的网络解体

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摘要

Social network analysis is nowadays attracting many researchers from different domains to study a large spectrum of issues such as node centrality (the position of nodes in the network or node importance), network evolution, community identification and so on. Central nodes are the ones that are linked to other nodes in the network in an extensive or critical manner because either they have many neighbors, or play the role of mediator or are very close to the other nodes. Therefore, the removal of these central nodes may propagate and lead to a disintegration of the network or a slowness in the information flow. The objective of this paper is to propose a new technique towards network destabilization that first identifies the community of the nodes and then targeting key nodes and links to be deleted to further apply the cascading removal solution at subsequent steps if needed. More precisely, it is a two-step procedure which at the first stage detects communities in a given network and deletes the links between them, eliminates key nodes inside each community at the second step.
机译:如今,社交网络分析吸引了许多来自不同领域的研究人员来研究各种各样的问题,例如节点中心性(节点在网络中的位置或节点重要性),网络演化,社区识别等。中心节点是通过广泛或关键方式链接到网络中其他节点的节点,因为它们有很多邻居,或者起着中介的作用,或者与其他节点非常接近。因此,这些中央节点的删除可能会传播并导致网络解体或信息流变慢。本文的目的是提出一种解决网络不稳定的新技术,该技术首先识别节点的社区,然后将要删除的关键节点和链接作为目标,以便在需要时在后续步骤中进一步应用级联删除解决方案。更准确地说,这是一个两步过程,第一步是检测给定网络中的社区并删除它们之间的链接,然后在第二步中消除每个社区内部的关键节点。

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