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Community Epidemic Detection using Time-Correlated Anomalies
epidemic detection anomalies community
2016/5/24
An epidemic is malicious code running on a subset of a community,a homogeneous set of instances of an application. Syzygy is an epidemic detection framework that looks for time-correlated anomalies,i....
Generalized Louvain Method for Community Detection in Large Networks
complex networks community structure
2015/7/22
In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do s...
针对现有图序列Community发现方法的缺陷,提出了一种基于最小描述长度原理的非二值化图序列的Community挖掘方法。根据其具有某些NP完全问题的性质,对问题进行预处理得到相对较好的初始输入。基于图序列编码长度的概念,通过重组并结合其中的灰度信息对优化问题进行求解,高效地解决了Community挖掘问题。借鉴遗传算法的随机和择优思想,避免在求解过程中被困于局部最小。此外,所提算法能随着时间演...
Virtuous Hackers: developing ethical sensitivity in a community of practice
Virtuous Hackers ethical sensitivity
2009/12/7
It is estimated that losses due to computer break-ins by malicious 'crackers' (who might be external intruders or disgruntled employees intent on personal gain or revenge) are costing companies billio...
Theincreasing complexity of communities established around free and opensource software (FOSS) projects as well as the increasing commercialinterest in such projects has led to more and more communiti...