Node differentiation protection concerning model of localized attack on real networks

Tao Fu, Ran Sun, Chenguang Li and Long Wu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 526, issue C

Abstract: Localized attack model studies the process where damage diffuses from a node to its neighbors and the neighbors of its neighbors and has a great practical significance. In this paper, we propose an adjusted localized attack process that breaks through the restriction of the structure of shells and considers node differentiation protection. On the basis of this process, we construct a modified theoretical model and apply it to computer-generated and practical networks to observe its accuracy, the resilience of the networks, and the validity of our node protection pattern. Results show that our modified model works well in several of these networks, that is, those networks with an even degree of distribution tend to be robust to that adjusted localized attack, whereas our node protection pattern is more valid on networks with hub nodes.

Keywords: Localized attack; Real network; Percolation; Generating function; Phase transition (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119305278
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:526:y:2019:i:c:s0378437119305278

DOI: 10.1016/j.physa.2019.04.183

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().