Abstract
We consider the development of computational models for systems involving social networks and large human audiences. In particular, we focus on the spread of information and behavior through such systems, and the ways in which these processes are affected by the underlying network structure.
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References
Arcaute, E., Kirsch, A., Kumar, R., Liben-Nowell, D., Vassilvitskii, S.: On threshold behavior in query incentive networks. In: Proc. 8th ACM Conference on Electronic Commerce, pp. 66–74 (2007)
Babaioff, M., Dobzinski, S., Oren, S., Zohar, A.: On bitcoin and red balloons. In: Proc. ACM Conference on Electronic Commerce, pp. 56–73 (2012)
Backstrom, L., Huttenlocher, D., Kleinberg, J., Lan, X.: Group formation in large social networks: Membership, growth, and evolution. In: Proc. 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2006)
Blume, L., Easley, D., Kleinberg, J., Kleinberg, R., Tardos, É.: Which networks are least susceptible to cascading failures? In: Proc. 52nd IEEE Symposium on Foundations of Computer Science (2011)
Cebrián, M., Coviello, L., Vattani, A., Voulgaris, P.: Finding red balloons with split contracts: robustness to individuals’ selfishness. In: Proc. 44th ACM Symposium on Theory of Computing. pp. 775–788 (2012)
Centola, D., Macy, M.: Complex contagions and the weakness of long ties. American Journal of Sociology 113, 702–734 (2007)
Chierichetti, F., Kleinberg, J.M., Liben-Nowell, D.: Reconstructing patterns of information diffusion from incomplete observations. In: Proc. 24th Advances in Neural Information Processing Systems. pp. 792–800 (2011)
Dodds, P., Watts, D.: Universal behavior in a generalized model of contagion. Physical Review Letters 92, 218701 (2004)
Easley, D., Kleinberg, J.: Networks, Crowds, and Markets: Reasoning about a Highly Connected World. Cambridge University Press (2010)
Golub, B., Jackson, M.O.: Using selection bias to explain the observed structure of internet diffusions. Proc. Natl. Acad. Sci. USA 107(24), 10833–10836 (2010)
Granovetter, M.: Threshold models of collective behavior. American Journal of Sociology 83, 1420–1443 (1978)
Jackson, M.O.: Social and Economic Networks. Princeton University Press (2008)
Kempe, D., Kleinberg, J., Tardos, É.: Maximizing the spread of influence in a social network. In: Proc. 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 137–146 (2003)
Kleinberg, J.: Cascading behavior in networks: Algorithmic and economic issues. In: Nisan, N., Roughgarden, T., Tardos, É., Vazirani, V. (eds.) Algorithmic Game Theory, pp. 613–632. Cambridge University Press (2007)
Kleinberg, J., Raghavan, P.: Query incentive networks. In: Proc. 46th IEEE Symposium on Foundations of Computer Science, pp. 132–141 (2005)
Kossinets, G., Watts, D.: Empirical analysis of an evolving social network. Science 311, 88–90 (2006)
Leskovec, J., Adamic, L., Huberman, B.: The dynamics of viral marketing. ACM Transactions on the Web 1(1) (May 2007)
Liben-Nowell, D., Kleinberg, J.: Tracing information flow on a global scale using Internet chain-letter data. Proc. Natl. Acad. Sci. USA 105(12), 4633–4638 (2008)
Mossel, E., Roch, S.: On the submodularity of influence in social networks. In: Proc. 39th ACM Symposium on Theory of Computing (2007)
Newman, M.E.J.: Networks: An Introduction. Oxford University Press (2010)
Nisan, N., Roughgarden, T., Tardos, É., Vazirani, V.: Algorithmic Game Theory. Cambridge University Press (2007)
Onnela, J.P., Saramaki, J., Hyvonen, J., Szabo, G., Lazer, D., Kaski, K., Kertesz, J., Barabasi, A.L.: Structure and tie strengths in mobile communication networks. Proc. Natl. Acad. Sci. USA 104, 7332–7336 (2007)
Papadimitriou, C.H.: Algorithms, games, and the internet. In: Proc. 33rd ACM Symposium on Theory of Computing, pp. 749–753 (2001)
Pickard, G., Pan, W., Rahwan, I., Cebrian, M., Crane, R., Madan, A., Pentland, A.: Time-critical social mobilization. Science 334(6055), 509–512 (2011)
Rogers, E.: Diffusion of Innovations, 4th edn. Free Press (1995)
Schelling, T.: Micromotives and Macrobehavior. Norton (1978)
Shoham, Y., Leyton-Brown, K.: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press (2009)
Ugander, J., Backstrom, L., Kleinberg, J.: Subgraph frequencies: Mapping the empirical and extremal geography of large graph collections. In: Proc. 22nd International World Wide Web Conference (2013)
Ugander, J., Backstrom, L., Marlow, C., Kleinberg, J.: Structural diversity in social contagion. Proc. Natl. Acad. Sci. USA 109(16), 5962–5966 (2012)
Watts, D.J.: A simple model of global cascades on random networks. Proc. Natl. Acad. Sci. USA 99(9), 5766–5771 (2002)
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Kleinberg, J. (2013). Algorithms, Networks, and Social Phenomena. In: Fomin, F.V., Freivalds, R., Kwiatkowska, M., Peleg, D. (eds) Automata, Languages, and Programming. ICALP 2013. Lecture Notes in Computer Science, vol 7966. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39212-2_1
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DOI: https://doi.org/10.1007/978-3-642-39212-2_1
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