Agent-based Modeling and Simulation of Virus on a Scale-Free Network

被引：1

作者：

Yasir, Muhammad ^{[1
]}

Habib, Muhammad Asif ^{[2
]}

Shahid, Muhammad ^{[2
]}

Ahmad, Mudassar ^{[2
]}

机构：

[1] Univ Engn & Technol, Dept Comp Sci, Faisalabad Campus, Lahore 38600, Pakistan

[2] Natl Text Univ, Dept Comp Sci, Fac Sci, 37610 Sheikhpura Rd, Faisalabad, Pakistan

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND DISTRIBUTED SYSTEMS (ICFNDS '17) | 2017年

关键词：

Complex Networks; Random Networks; Agent-based Modeling; Scale-Free Networks; Epidemic; IMAGE RETRIEVAL;

D O I：

10.1145/3102304.3109819

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Predicting epidemics spread in networks is an important agent-based modeling application. It helps in making better policies to protect the networks. Scale free networks are built as an outcome of the process of preferential attachment. This process enables each newly joining node to establish links preferably with existing well connected nodes. Resultant network consists of a few higher degree nodes, and a large number of lower degree nodes. Degree distribution is one of the key factors affecting the virus propagation in networks and removal afterwards. Topological structure of scale-free networks brings new avenues of analyzing the spread and mitigation of computer viruses within them. We have created an agent-based model of virus spread on a technological scale-free network.

引用

页数：6

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