摘要
为了解决k-shell方法不能准确识别社会网络的影响力节点的问题,引入信息熵冗余度的算法来发现具有较高k-shell值、较少传播信息量的节点。通过实验分析可知,基于k-shell和信息熵冗余度的网络节点影响力度量具有良好的扩展性,同时也为移动运营商的病毒营销策略提供了很好的数据支撑。
In order to solve the problem that the k-shell method can＇t accurately identify the influence nodes of social networks, the information entropy redundancy algorithm was introduced to discover the nodes with the high k-shell value and less propagation information. Experimental analysis demonstrates that the network node influence metrics based on the k-shell and the information entropy redundancy not only has good expandability, but also provides a good data support to the to the virus marketing strategy for operators.
出处
《移动通信》
2017年第24期24-28,共5页
Mobile Communications
