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Influence Propagation in Social Networks with Positive and Negative Relationships

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References

  • Agrawal P, Garg VK, Narayanam R (2013) Link label prediction in signed social networks. In: Proceedings of the 23rd international joint conference on artificial intelligence, Beijing, pp 2591–2597

    Google Scholar 

  • Anchuri P, Magdon-Ismail M (2012) Communities and balance in signed networks: a spectral approach. In: Proceedings of the 2012 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM’12), Istanbul, pp 235–242

    Google Scholar 

  • Blackmore S (2000) The meme machine. Oxford University Press, Oxford, UK

    Google Scholar 

  • Brzozowski MJ, Hogg T, Szabo G (2008) Friends and foes: ideological social networking. In: Proceedings of the ACM SIGCHI conference on human factors in computing systems, Florence, pp 817–820

    Google Scholar 

  • Cartwright D, Harary F (1956) Structural balance: a generalization of Heider’s theory. Psychol Rev 63(5):277

    Article  Google Scholar 

  • Chen W, Wang Y, Yang S (2009) Efficient influence maximization in social networks. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, Paris, pp 199–208

    Google Scholar 

  • Chen W, Yuan Y, Zhang L (2010) Scalable influence maximization in social networks under the linear threshold model. In: Proceedings of the IEEE international conference on data mining (ICDM’10), Sydney, pp 88–97

    Google Scholar 

  • Chen W, Collins A, Cummings R, Ke T, Liu Z, Rincon D, Sun X, Wang Y, Wei W, Yuan Y (2011) Influence maximization in social networks when negative opinions may emerge and propagate. In: Proceedings of the 2011 SIAM international conference on data mining, Mesa, pp 379–390

    Google Scholar 

  • Domingos P, Richardson M (2001) Mining the network value of customers. In: Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining, San Francisco, pp 57–66

    Google Scholar 

  • Dreyfus SE, Law AM (1977) Art and theory of dynamic programming. Academic, Orlando

    MATH  Google Scholar 

  • Easley D, Kleinberg J (2010) Networks, crowds, and markets: reasoning about a highly connected world. Cambridge University Press, Cambridge, UK

    Book  MATH  Google Scholar 

  • Fan P, Wang H, Li P, Li W, Jiang Z (2012) Analysis of opinion spreading in homogeneous networks with signed relationships. J Stat Mech Theory Exp 2012(08):P08003

    Article  Google Scholar 

  • Girvan M, Newman ME (2002) Community structure in social and biological networks. Proc Natl Acad Sci 99(12):7821–7826

    Article  MathSciNet  MATH  Google Scholar 

  • Goyal A, Bonchi F, Lakshmanan LV (2010) Learning influence probabilities in social networks. In: Proceedings of the ACM international conference on web search and data mining, pp 241–250

    Google Scholar 

  • Guler B, Varan B, Tutuncuoglu K, Nafea M, Zewail AA, Yener A, Octeau D (2014a) Communicating in a socially-aware network: impact of relationship types. In: Proceedings of the 2012 IEEE global conference on signal and information processing – symposium on network theory (GlobalSIP’14), Atlanta, pp 956–960

    Google Scholar 

  • Guler B, Varan B, Tutuncuoglu K, Nafea M, Zewail AA, Yener A, Octeau D (2014b) Optimal strategies for targeted influence in signed networks. In: Proceedings of the IEEE/ACM international conference on advances in social networks analysis and mining – workshop on curbing collusive cyber-gossips in social networks (ASONAM’14), Beijing, pp 906–911

    Google Scholar 

  • Guler B, Varan B, Tutuncuoglu K, Nafea M, Zewail AA, Yener A, Octeau D (2015) Using social sensors for influence propagation in networks with positive and negative relationships. IEEE J Sel Top Sign Process 9(2):360–373

    Article  Google Scholar 

  • Harary F, Kabell JA (1980) A simple algorithm to detect balance in signed graphs. Math Soc Sci 1(1):131–136

    Article  MathSciNet  MATH  Google Scholar 

  • Heider F (1946) Attitudes and cognitive organization. J Psychol 21(1):107–112

    Article  Google Scholar 

  • Hogg T, Wilkinson DM, Szabo G, Brzozowski MJ (2008) Multiple relationship types in online communities and social networks. In: AAAI Spring symposium: social information processing, Stanford, pp 30–35

    Google Scholar 

  • Kempe D, Kleinberg J, Tardos ´E (2003) Maximizing the spread of influence through a social network. In: Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining, Washington, DC, pp 137–146

    Google Scholar 

  • Kermack WO, McKendrick AG (1927) A contribution to the mathematical theory of epidemics. Proc R Soc Lond A Math Phys Eng Sci 115(772):700–721

    Article  MATH  Google Scholar 

  • Kimura M, Saito K (2006) Tractable models for information diffusion in social networks. In: Proceedings of the 10th European conference on principle and practice of knowledge discovery in databases, Berlin, pp 259–271

    Google Scholar 

  • Kunegis J, Lommatzsch A, Bauckhage C (2009) The slashdot zoo: mining a social network with negative edges. In: Proceedings of the 18th international conference on WWW, Madrid, pp 741–750

    Google Scholar 

  • Lampe CA, Johnston E, Resnick P (2007) Follow the reader: filtering comments on slashdot. In: Proceedings of the ACM SIGCHI conference on human factors in computing systems, San Jose, pp 1253–1262

    Google Scholar 

  • Langer WL (1977) European alliances and alignments, 1871–1890. A Caravelle edition, Greenwood Press, Orlando

    Google Scholar 

  • Leskovec J, Huttenlocher D, Kleinberg J (2010a) Predicting positive and negative links in online social networks. In: Proceedings of the 19th international conference on WWW, Raleigh, pp 641–650

    Google Scholar 

  • Leskovec J, Huttenlocher D, Kleinberg J (2010b) Signed networks in social media. In: Proceedings of the SIGCHI conference on human factors in computing systems, Atlanta, pp 1361–1370

    Google Scholar 

  • Li FH, Li CT, Shan MK (2011) Labeled influence maximization in social networks for target marketing. In: Privacy, security, risk and trust (PASSAT) and IEEE international conference on social computing (SocialCom), Boston, pp 560–563

    Google Scholar 

  • Li W, Fan P, Li P, Wang H, Pan Y (2013a) An opinion spreading model in signed networks. Mod Phys Lett B 27(12):1350084

    Article  Google Scholar 

  • Li Y, Chen W, Wang Y, Zhang ZL (2013b) Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships. In: Proceedings of the 6th ACM international conference on web search and data mining, Rome, pp 657–666

    Google Scholar 

  • Li D, Xu ZM, Chakraborty N, Gupta A, Sycara K, Li S (2014) Polarity related influence maximization in signed social networks. PLoS One 9(7):e102199

    Article  Google Scholar 

  • Li P, Zhang Y, He S, Wang H (2015a) Analysis of opinion spreading in signed social networks under the impact of structural balance. Int J Modern Phys B 29(13):1550079

    Article  MathSciNet  MATH  Google Scholar 

  • Li Y, Chen W, Wang Y, Zhang ZL (2015b) Voter model on signed social networks. Internet Math 11(2):93–133

    Article  MathSciNet  Google Scholar 

  • Li Y, Zhang D, Tan KL (2015c) Real-time targeted influence maximization for online advertisements. Proc VLDB Endowment 8(10):1070–1081

    Article  Google Scholar 

  • McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: homophily in social networks. Annu Rev Sociol 27(1):415–444

    Article  Google Scholar 

  • Papaoikonomou A, Kardara M, Tserpes K, Varvarigou D (2014) Edge sign prediction in social networks via frequent subgraph discovery. IEEE Internet Comput 18(5):36–43

    Article  Google Scholar 

  • Schmitt BE (1924) Triple alliance and triple entente, 1902–1914. Am Hist Rev 29(3):449–473

    Article  Google Scholar 

  • Shafaei M, Jalili M (2014) Community structure and information cascade in signed networks. New Gener Comput 32(3–4):257–269

    Article  Google Scholar 

  • Srinivasan BV, Anandhavelu N, Dalal A, Yenugula M, Srikanthan P, Layek A (2014) Topic-based targeted influence maximization. In: International conference on communication systems and networks (COMSNETS), Bangalore, pp 1–6

    Google Scholar 

  • Srivastava A, Chelmis C, Prasanna VK (2015) Social influence computation and maximization in signed networks with competing cascades. In: Proceedings of the IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM’15), Paris, pp 41–48

    Google Scholar 

  • Watts D, Strogatz S (1998) Collective dynamics of small-world networks. Nature 393(6684):440–442

    Article  MATH  Google Scholar 

  • Yang SH, Smola AJ, Long B, Zha H, Chang Y (2012) Friend or frenemy?: predicting signed ties in social networks. In: Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval, Portland, pp 555–564

    Google Scholar 

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Correspondence to Basak Guler .

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Guler, B., Yener, A. (2017). Influence Propagation in Social Networks with Positive and Negative Relationships. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_110150-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_110150-1

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