Literature DB >> 15244676

Role of clustering and gridlike ordering in epidemic spreading.

Thomas Petermann1, Paolo De los Rios.   

Abstract

The spreading of an epidemic is determined by the connectivity patterns which underlie the population. While it has been noted that a virus spreads more easily on a network in which global distances are small, it remains a great challenge to find approaches that unravel the precise role of local interconnectedness. Such topological properties enter very naturally in the framework of our two-time-step description, also providing an approach to track a probabilistic system. The method is elaborated for SIS-type epidemic processes, leading to a quantitative interpretation of the role of loops up to length 4 in the onset of an epidemic.

Entities:  

Mesh:

Year:  2004        PMID: 15244676     DOI: 10.1103/PhysRevE.69.066116

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

1.  When individual behaviour matters: homogeneous and network models in epidemiology.

Authors:  Shweta Bansal; Bryan T Grenfell; Lauren Ancel Meyers
Journal:  J R Soc Interface       Date:  2007-10-22       Impact factor: 4.118

2.  Using network properties to predict disease dynamics on human contact networks.

Authors:  Gregory M Ames; Dylan B George; Christian P Hampson; Andrew R Kanarek; Cayla D McBee; Dale R Lockwood; Jeffrey D Achter; Colleen T Webb
Journal:  Proc Biol Sci       Date:  2011-04-27       Impact factor: 5.349

3.  Identifying influential nodes in large-scale directed networks: the role of clustering.

Authors:  Duan-Bing Chen; Hui Gao; Linyuan Lü; Tao Zhou
Journal:  PLoS One       Date:  2013-10-31       Impact factor: 3.240

4.  Where to look for power Laws in urban road networks?

Authors:  Meisam Akbarzadeh; Soroush Memarmontazerin; Sheida Soleimani
Journal:  Appl Netw Sci       Date:  2018-04-04

5.  A Novel Entropy-Based Centrality Approach for Identifying Vital Nodes in Weighted Networks.

Authors:  Tong Qiao; Wei Shan; Ganjun Yu; Chen Liu
Journal:  Entropy (Basel)       Date:  2018-04-09       Impact factor: 2.524

6.  Exploring biological network structure with clustered random networks.

Authors:  Shweta Bansal; Shashank Khandelwal; Lauren Ancel Meyers
Journal:  BMC Bioinformatics       Date:  2009-12-09       Impact factor: 3.169

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.