Influential node identification in a constrained greedy way

Xiaohong Zhang, Zhiying Li, Kai Qian, Jianji Ren and Junwei Luo

Physica A: Statistical Mechanics and its Applications, 2020, vol. 557, issue C

Abstract: Influence maximization aims to identify a set of influential nodes as seeds to initiate the propagation of influence so that the influence can be spread most widely. It plays critical roles in the areas such as rumor controlling, viral marketing and so on. Greedy algorithms have been exploited to identify seeds. They have been proved to provide the results approximating the optimum. However, non-neglectable iterative calculations and influence overlap between seeds degrade the performance and the efficiency of those algorithms. To alleviate the performance and efficiency degradation, we propose an influence maximization approach based on the property of submodularity. The approach selects seeds according to the influence propagated in a constrained greedy way to alleviate the performance degradation caused by non-neglectable iterative calculations. It performs rigorous overlap cost checks on the nodes which could be taken as seeds to relieve the efficiency degradation caused by the influence overlap. The experiments verify the performance and the efficiency of the approach.

Keywords: Social network; Influence maximization; Seed selection; Influence overlap (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437120304593
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:557:y:2020:i:c:s0378437120304593

DOI: 10.1016/j.physa.2020.124887

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 ().