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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sotoodeh, H. Golanbary, P. Safaei, F. |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Comput. Sci., Inst. for Res. in Fundamental Sci., Tehran, Iran (Sotoodeh, H.) || Dept. of Electr. & Comput. Eng., Islamic Azad Univ., Qazvin, Iran (Golanbary, P.) || Fac. of Comput. Sci. Eng., Shahid Beheshti Univ., Tehran, Iran (Safaei, F.) |
| Abstract | Diffusion processes are an efficient tool to unfold the structural characteristics of social networks. One of the challenges, which engaged researcher have faced, is immunizing the networks against virus dissemination. In this paper, we propose an efficient immunization algorithm against the epidemic diffusion model. Since the largest eigenvalue of the matrix of graphs is associated with the connectivity, the aim of the efficiency is decreasing this indicator significantly after immunization process in which virus spreading would also be ceased dramatically. Noteworthy outcomes we would like to highlight are: a) the proposed algorithm corresponds to the whole network structure rather than local information of nodes, and b) our algorithm performs better in networks with high clustering coefficient and transitivity. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 472660 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781467391818 |
| DOI | 10.1109/CSICSSE.2015.7369241 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-18 |
| Publisher Place | Iran |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Epidemic Protocols Immunization Social network services Sociology Social networks Eigenvalues and eigenfunctions Mathematical model Information diffusion Statistics Immune system |
| Content Type | Text |
| Resource Type | Article |
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