Journal of Guangxi Normal University(Natural Science Edition) ›› 2016, Vol. 34 ›› Issue (3): 14-24.doi: 10.16088/j.issn.1001-6600.2016.03.003

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Multi-information Dissemination on Weighted Network

CHEN Dexia, ZOU Yanli, WANG Yi, LI Ke, HUANG Li   

  1. Guangxi Key Lab of Multi-source Information Mining and Security,College of Electronic Engineering,Guangxi Normal University,Guilin Guangxi 541004,China
  • Received:2016-03-25 Online:2016-09-30 Published:2018-09-17

Abstract: The propagation characteristics of the two pieces of information are studied respectively on the GBBV weighted network and a real data set. Assuming that the spread rates of the two pieces of information are the same,the attractiveness of the information itself is different from each other,in which the attractiveness of information 1 is relative high,and the attractiveness of information 2 is relative low,study shows that when the average degree of a network is 6 to 8,the spread range of the low attractiveness information 2 is relative small. When the average degree of the network is less than 8,the spread range of the information 2 increases with the increase of the average weight of the network. This paper puts forward several methods to improve the propagation range of information 2 by increasing the number of its initial propagation source,and then compares the results of these methods. It is found that the effect of increasing the initial propagation nodes by descending degree is notable in sparse networks,and the propagation range of information 2 will exceed information 1 by only adding a small amount of initial propagation nodes.

Key words: weighted networks, information dissemination, average degree

CLC Number: 

  • TM711
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