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Peer-to-Peer Networking and Applications

Erschienen in:

24.04.2019

Information spread link prediction through multi-layer of social network based on trusted central nodes

verfasst von: Tongrang Fan, Shixun Xiong, Wenbin Zhao, Tao Yu

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 5/2019

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Abstract

In this study, a path prediction method based on trusted central nodes is proposed for information flow transmission among multi-layer of social network. With the complex, sensitive and the burn-in of information protection strategies, the regulation and control of information flow transmission is becoming difficult in social network. By exacting the trusted central nodes from the community in social network, the feedback mechanism is used to realize the time-varying selecting of trusted central nodes. Then, an information spread link model for multi-layer of social network is obtained through the trusted central nodes. Finally, the shortest transmission path among layers of social network is calculated. The experimental results show that time-varying selection strategy of trusted central nodes restrains the rumor transmission which increases the reliability of information in social network. The information spread link algorithm for multi-layer of social network can reduce the path length and transmission time and improve the transmission efficiency.

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Aral S, Nicolaides C (2017) Exercise contagion in a global social network. Nat Commun 8(1):87–90CrossRef

Hosseini S, Azgomi MA (2016) A model for malware propagation in scale-free networks based on rumor spreading process. Comput Netw 108(2):97–107CrossRef

Klimek P, Diakonova M, Eguiluz V (2016) Dynamical origins of the community structure of multi-layer societies. New J Phys 18(15):28–35

Ghosh R, Lerman K (2017) Rethinking centrality: the role of dynamical processes in social network analysis. Discrete and Continuous Dynamical Systems - Series B 19(5):1355–1372MathSciNetMATHCrossRef

Rocco CM, Moronta J, Ramirez-Marquez JE (2017) Effects of multi-state links in network community detection. Reliab Eng Syst Saf 163(8):46–56CrossRef

Wu J, Du R, Zheng YY (2016) Optimal multi-community network modularity for information diffusion. International Journal of Modern Physics C 27(8):281–293CrossRef

Shakeri H, Poggi-Corradini P, Albin N (2017) Network clustering and community detection using modulus of families of loops. Phys Rev E 95(2):170–178

Bakshy E, Messing S, Adamic LA (2015) Exposure to ideologically diverse news and opinion on Facebook. Science 358(6239):1130–1138MathSciNetMATHCrossRef

Li Z, Wang RS, Zhang S (2016) Quantitative function and algorithm for community detection in bipartite networks. Inf Sci 367(1):874–889MATHCrossRef

10.

He Z, Cai Z, Yu J (2017) Cost-efficient strategies for restraining rumor spreading in Mobile social networks. IEEE Trans Veh Technol 13(2):147–156

11.

Lee J, Hasenbein JJ, Morton DP (2015) Optimization of stochastic virus detection in contact networks. Oper Res Lett 43(1):59–64MathSciNetMATHCrossRef

12.

Juliana R, Maheswari PU (2016) An energy efficient cluster head selection technique using network trust and swarm intelligence. Wirel Pers Commun 89(2):351–364CrossRef

13.

Jian HE, Wan S (2016) Dynamic evaluation method of network trust based on congnitive behavior. Communications Technology 43(1):117–126

14.

Yang HS, Sun JH (2016) A study on hybrid trust evaluation model for identifying malicious behavior in mobile P2P. Peer-to-Peer Networking and Applications 9(3):578–587MathSciNetCrossRef

15.

Chen Z, Tian L, Lin C (2017) Trust model of wireless sensor networks and its application in data fusion. Sensors 17(4):105–108

16.

Liu W, Li G, Cheng J (2015) Fast PageRank approximation by adaptive sampling. Knowl Inf Syst 42(1):127–146CrossRef

17.

Dadlani A, Kumar MS, Maddi MG (2017) Mean-field dynamics of inter-switching memes competing over multiplex social networks. IEEE Commun Lett 21(5):967–970CrossRef

18.

Poledna S, Molina-Borboa JL (2015) The multi-layer network nature of systemic risk and its implications for the costs of financial crises. J Financ Stab 20(4):70–81CrossRef

19.

Zhang D, Liu Q, Chen L (2018) Multi-layer based multi-path routing algorithm for maximizing spectrum availability. Wirel Netw 20(4):1–13

20.

Wang D, Wang H, Zou X (2017) Identifying key nodes in multi-layer networks based on tensor decomposition. Chaos 27(6):1–122CrossRef

21.

Gallotti R, Porter MA, Barthelemy M (2015) Information measures and cognitive limits in multilayer navigation. Comput Therm Sci 16(3):182–190

22.

Li L, He J, Wang M (2016) Trust agent-based behavior induction in social networks. IEEE Intell Syst 31(1):24–30CrossRef

23.

Wu J, Chiclana F, Fujita H (2017) A visual interaction consensus model for social network group decision making with trust propagation. Knowl-Based Syst 122(3):39–50CrossRef

24.

Yong Z, Lei J, Xiao JW (2017) Research on cascading failure in multilayer network with different coupling preference. International Journal of Modern Physics C 28(4):23–32

25.

Bacco CD, Power EA, Larremore DB (2017) Community detection, link prediction, and layer interdependence in multilayer networks. Phys Rev E 95(1):727–750

26.

Nowell D, Kleinberg J (2007) The link-prediction problem for social networks. J Am Soc Inf Sci Technol 58(7):1019–1031CrossRef

27.

Antaris S, Rafailidis D, Nanopoulos (2014) Link injection for boosting information spread in social networks. Soc Netw Anal Min 4(1):1–16CrossRef

28.

Shahrivar EM, Sundaram S (2015) The strategic formation of multi-layer networks. Phys Rev E 30(2):205–221

29.

Nettleton DF (2013) Data mining of social networks represented as graphs. Computer Science Review 7(7):1–34MathSciNetMATHCrossRef

30.

Sole-Ribalta A, Domenico MD, Gomez S (2015) Random walk centrality in interconnected multilayer networks. Phys Rev E 8(4):33–40MATH

31.

Domenico MD, Solé-Ribalta A, Cozzo E (2013) Mathematical formulation of multilayer networks. Physical Review X 3(4):22–30CrossRef

32.

Li Z, Jiang Y (2015) Cross-layers cascade in multiplex networks. Auton Agent Multi-Agent Syst 29(6):1186–1215CrossRef

33.

Folino F, Pizzuti C (2014) An evolutionary multiobjective approach for community discovery in dynamic networks. Knowledge and Data Engineering 26(2):1838–1852CrossRef

34.

Qin W, Fan T (2017) Modeling and analysis of information propagation model of online/offline network based on coupled network. Chinese conference on trusted computing and information security. Springer, Singapore, pp 16–25

35.

Wang D, Song C (2015) Impact of human mobility on social networks. J Commun Netw 17(2):100–109CrossRef

36.

Yang W, Wang H, Yao Y (2015) An immunization strategy for social network worms based on network vertex influence. China Communication 12(7):154–166CrossRef

Titel: Information spread link prediction through multi-layer of social network based on trusted central nodes
verfasst von: Tongrang Fan
Shixun Xiong
Wenbin Zhao
Tao Yu
Publikationsdatum: 24.04.2019
Verlag: Springer US
Erschienen in: Peer-to-Peer Networking and Applications / Ausgabe 5/2019
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI: https://doi.org/10.1007/s12083-019-00743-1

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