Indexed by:
Abstract:
In dynamical evolution of structural balance, unbalanced signed networks evolve to structurally balanced ones. In this paper, we compute the least number of sign changes in the evolution of structural balance. It is suggested that there be a certain bias towards flipping positive or flipping negative signs. The number of flipped signs is quantified by an objective function. Moreover, a memetic algorithm is proposed to optimize the objective function. Experiments show that our algorithm is efficient and effective to optimize dynamical evolution of structural balance. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Reprint Author's Address:
Email:
Source :
SOCIAL NETWORKS
ISSN: 0378-8733
Year: 2016
Volume: 44
Page: 64-73
2 . 4 6 2
JCR@2016
3 . 4 0 6
JCR@2020
ESI Discipline: SOCIAL SCIENCES, GENERAL;
ESI HC Threshold:92
JCR Journal Grade:2
Cited Count:
WoS CC Cited Count: 16
SCOPUS Cited Count: 21
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 3
Affiliated Colleges: