CSpace  > 应用数学研究所
Information spreading with relative attributes on signed networks
Niu, Ya-Wei1; Qu, Cun-Quan1,2; Wang, Guang-Hui1,2; Wu, Jian-Liang1; Yan, Gui-Ying3,4
AbstractDuring the past years, network dynamics has been widely investigated in various disciplines. As a practical and convenient description for social networks, signed networks have also garnered significant attention. In this work, we study information spreading with relative attributes on signed networks, where edges are assigned positive or negative labels, describing friendly or hostile relationships. We define the attribute of information by a degree that can be either 'good' or `bad' and assume that the spreading willingness of the information receiver depends on not only its relation with others but also the attribute of information. A pair-wise potential relation identification algorithm is designed based on the shortest path approach and structural balance theory. Both simulations on randomly signed networks and empirical experiments on real datasets show that the proposed information spreading could be approximately investigated within a local 2-order neighborhood. In addition, the ratio of potential friendly nodes with a target node is consist with network content. Finally, the propagation speed of 'good' information would unexpectedly slow down when the ratio of positive edges is larger than an estimated threshold. The presented model could be referred to in real social scenarios, such as product promotion, advertisement media, and rumor mongering. (C) 2020 Published by Elsevier Inc.
KeywordInformation spreading Relative attributes Signed networks Structural balance Positive edges Negative edges
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[11631014] ; National Natural Science Foundation of China[11871311] ; National Natural Science Foundation of China[12001324] ; program for the Outstanding PhD candidate of Shandong University ; China Scholarship Council ; China Postdoctoral Science Foundation[2019TQ0188] ; China Postdoctoral Science Foundation[2019M662315] ; Shandong University multidisciplinary research and innovation team of young scholars[2020QNQT017]
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000612172900004
Citation statistics
Document Type期刊论文
Corresponding AuthorQu, Cun-Quan; Wang, Guang-Hui
Affiliation1.Shandong Univ, Sch Math, Jinan 250100, Peoples R China
2.Shandong Univ, Data Sci Inst, Jinan 250100, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Niu, Ya-Wei,Qu, Cun-Quan,Wang, Guang-Hui,et al. Information spreading with relative attributes on signed networks[J]. INFORMATION SCIENCES,2021,551:54-66.
APA Niu, Ya-Wei,Qu, Cun-Quan,Wang, Guang-Hui,Wu, Jian-Liang,&Yan, Gui-Ying.(2021).Information spreading with relative attributes on signed networks.INFORMATION SCIENCES,551,54-66.
MLA Niu, Ya-Wei,et al."Information spreading with relative attributes on signed networks".INFORMATION SCIENCES 551(2021):54-66.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Niu, Ya-Wei]'s Articles
[Qu, Cun-Quan]'s Articles
[Wang, Guang-Hui]'s Articles
Baidu academic
Similar articles in Baidu academic
[Niu, Ya-Wei]'s Articles
[Qu, Cun-Quan]'s Articles
[Wang, Guang-Hui]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Niu, Ya-Wei]'s Articles
[Qu, Cun-Quan]'s Articles
[Wang, Guang-Hui]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.