Years and Authors of Summarized Original Work
-
2008; Kimura, Saito, Motoda
-
2011; Budak, Agrawal, Abbadi
-
2013; Fan, Lu, Wu, Thuraisingham, Ma, Bi
Problem Definition
The aim is to design effective algorithms for controlling rumor propagation in social networks. Here, a rumor is viewed as an undesirable thing. Social networks are represented by undirected or directed graphs, depending on different contexts. In these graphs, nodes denote individuals and edges denote the influence between individuals.
A list of strategies has been proposed to limit the spread of a rumor in a network. We group some of the existing research works into two categories. The first one includes the works that launch the opposite cascade, protector, to spread in a network, such that the number of nodes that adopt the rumor at the end of both cascades diffusion is limited. The second contains the works that are concerned with the network structure, that is, they control the rumor propagation by blocking some edges or...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Bao Y, Niu Y, Yi C, Xue Y (2014) Effective immunization strategy for rumor propagation based on maximum spanning tree. In: Computing, Networking and Communications (ICNC), 2014 International Conference on, pp 11–15, DOI:10.1109/ICCNC.2014.6785296
Budak C, Agrawal D, El Abbadi A (2011) Limiting the spread of misinformation in social networks. In: Srinivasan S, Ramamritham K, Kumar A, Ravindra MP, Bertino E, Kumar R (eds) WWW, ACM, pp 665–674
Fan L, Lu Z, Wu W, Thuraisingham BM, Ma H, Bi Y (2013) Least cost rumor blocking in social networks. In: ICDCS, IEEE, pp 540–549
He J, Liang H, Yuan H (2011) Controlling infection by blocking nodes and links simultaneously. In: Chen N, Elkind E, Koutsoupias E (eds) WINE, Springer, Lecture Notes in Computer Science, vol 7090, pp 206–217
He X, Song G, Chen W, Jiang Q (2012) Inuence blocking maximization in social networks under the competitive linear threshold model. In: SDM, SIAM / Omnipress, pp 463–474
Kempe D, Kleinberg JM, Tardos E (2003) Maximizing the spread of inuence through a social network. In: Getoor L, Senator TE, Domingos P, Faloutsos C (eds) KDD, ACM, pp 137–146
Kimura M, Saito K, Nakano R (2007) Extracting inuential nodes for information diusion on a social network. In: AAAI, AAAI Press, pp 1371–1376
Kimura M, Saito K, Motoda H (2008) Minimizing the spread of contamination by blocking links in a network. In: Fox D, Gomes CP (eds) AAAI, AAAI Press, pp 1175–1180
Kimura M, Saito K, Motoda H (2008) Solving the contamination minimization problem on networks for the linear threshold model. In: Ho TB, Zhou ZH (eds) PRICAI, Springer, Lecture Notes in Computer Science, vol 5351, pp 977–984
Li S, Zhu Y, Li D, Kim D, Huang H (2013) Rumor restriction in online social networks. In: IPCCC, IEEE, pp 1–10
Nguyen N, Xuan Y, Thai M (2010) A novel method for worm containment on dynamic social networks. In: MILITARY COMMUNICATIONS CONFERENCE, 2010 - MILCOM 2010, pp 2180–2185, DOI:10.1109/MILCOM.2010.5680488
Nguyen NP, Yan G, Thai MT, Eidenbenz S (2012) Containment of misinformation spread in online social networks. In: Contractor NS, Uzzi B, Macy MW, Nejdl W (eds) WebSci, ACM, pp 213–222
Tsai J, Nguyen TH, Tambe M (2012) Security games for controlling contagion. In: Homann J, Selman B (eds) AAAI, AAAI Press
Zhu Z, Cao G, Zhu S, Ranjan S, Nucci A (2009) A social network based patching scheme for worm containment in cellular networks. In: INFOCOM, IEEE, pp 1476-1484
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media New York
About this entry
Cite this entry
Fan, L., Wu, W. (2016). Rumor Blocking. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_623
Download citation
DOI: https://doi.org/10.1007/978-1-4939-2864-4_623
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-2863-7
Online ISBN: 978-1-4939-2864-4
eBook Packages: Computer ScienceReference Module Computer Science and Engineering