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How strategic networking impacts the networking outcome: a complex adaptive system approach

Published: 17 August 2016 Publication History

Abstract

In this study, we provide an interaction model based on complex adaptive system theory, to explain how different methods of network growth and strategic responses of existing network members towards them impact the outcome of networked individuals (i.e., utility gain at the individual level or a society's collective utility known as social welfare). The proposed interaction model allows us to perform our experiments with dynamic utility computation, while individuals act strategically in response to what other individuals do in the network. We utilized the formulation of the co-author model, as it augments the concept of network structure for modeling individuals' utilities. The experimental results show that different methods of a network growth lead to different networking outcome for its members. We observed that total networking outcome is the highest (with respect to the co-author model), if newly entered individuals establish their links strategically to other existing members in a way to maximize their own payoffs. We believe that reduction in the total utility due to strategic responses within the network is acceptable in exchange of having a homogenous utility distribution within the population. Our observations give us the idea that, with the help of strategic responses, central network members can be prevented from gaining very high utilities compared to others. Furthermore, network structures can be prevented, in which the utilities of network members are widely dispersed. In such a setting, individuals experience no discrimination in utility gain against other people in their community.

References

[1]
Erdős, P. and Rényi, A. 1959. On random graphs. Publicationes Mathematicae, vol. 6, pp. 290--297.
[2]
Erdős, P. and Rényi, A. 1960. On the evolution of random graphs. Publications of the Mathematical Institute of the Hungarian Academy of Sciences, vol. 5, pp. 17--61.
[3]
Erdős, P. and Rényi, A. 1961. On the strength of connectedness of a random graph. Acta Mathematica Scientia Hungary, vol. 12, pp. 261--267.
[4]
Albert, R. and Barabási, A. L. 2002. Statistical mechanics of complex networks. Reviews of Modern Physics, vol. 74, pp. 47--97.
[5]
Albert, R. and Barabási, A. L. 1999. Emergence of scaling in random networks. Science, vol. 286, pp. 509--512.
[6]
Barabási, A. L., Albert, R. and Jeong, H. 1999. Mean-field theory for scale-free random networks. Physica A, vol. 272, pp. 173--187.
[7]
Jackson, M. O. 2008. Social and economic networks (Vol. 3). Princeton: Princeton university press.
[8]
Jackson, M. O. and Wolinsky, A. 1996. A strategic model of social and economic networks. Journal of economic theory, 71(1), pp. 44--74.
[9]
Galeotti, A., Goyal, S., Jackson, M. O., Vega-Redondo, F. and Yariv, L. 2010. Network games. The review of economic studies, 77(1), pp. 218--244.
[10]
Rittenberg and Tregarthen. Principles of Microeconomics: Chapter 6, Section 4. pp. 2
[11]
Lamberson, P. J. 2011. Friendship-based Games. In 37th Annual Conference of the Eastern Economics Association.
[12]
Watts, D. J. and Strogatz, S. H. 1998. Collective dynamics of 'small-world'networks. Nature, 393(6684), pp. 440--442.
[13]
Koohborfardhaghighi, S. and Altmann, J. 2015. A Network Formation Model for Social Object Networks. In LISS 2014 (pp. 615--625). Springer Berlin Heidelberg.
[14]
Wilensky, U. and Evanston, I. 1999. NetLogo: Center for connected learning and computer-based modeling. Northwestern University, Evanston, IL, pp. 49--52.
[15]
Bentham, J. (1879). An introduction to the principles of morals and legislation. Clarendon Press.
[16]
Koohborfardhaghighi, S. and Altmann, J. 2014. How Variability in Individual Patterns of Behavior Changes the Structural Properties of Networks. In Active Media Technology (pp. 49--60). Springer International Publishing.
[17]
Koohborfardhaghighi, S. and Altmann, J. 2014, April. How placing limitations on the size of personal networks changes the structural properties of complex networks. In Proceedings of the companion publication of the 23rd international conference on World Wide Web companion. pp. 1017--1022.
[18]
Hamill, L. and Gilbert, N. 2009. Social circles: A simple structure for agent-based social network models. Journal of Artificial Societies and Social Simulation, 12(2), p. 3.
[19]
Travers, J. and Milgram, S. 1969. An experimental study of the small world problem. Sociometry, pp. 425--443.
[20]
Dodds, P. S., Muhamad, R. and Watts, D. J. 2003. An experimental study of search in global social networks. Science, 301(5634), pp. 827--829.
[21]
Newman, M., Barabasi, A. L. and Watts, D. J. 2006. The structure and dynamics of networks. Princeton University Press.
[22]
König, M., Tessone, C. J. and Zenou, Y. 2009. A dynamic model of network formation with strategic interactions.
[23]
Buechel, B. 2009. Advances in strategic network formation: preferences, centrality, and externalities.
[24]
Michael, D. K. and Battiston, S. 2009. From graph theory to models of economic networks. a tutorial. In Networks, Topology and Dynamics. pp. 23--63. Springer Berlin Heidelberg.
[25]
Buechel, B. 2008. Network formation with closeness incentives. Networks, Topology and Dynamics. Springer Lecture Notes in Economic and Mathematical Systems, 613, pp. 95--109.
[26]
Bei, X., Chen, W., Teng, S. H., Zhang, J. and Zhu, J. 2009. Bounded budget betweenness centrality game for strategic network formations. In Algorithms-ESA 2009. pp. 227--238. Springer Berlin Heidelberg.
[27]
Gallo, E. 2012. Small world networks with segregation patterns and brokers. Review of Network Economics, 11(3).
[28]
Borgatti, S. P. 2005. Centrality and network flow. Social networks, 27(1), pp. 55--71.
[29]
Borgatti, S. P. and Everett, M. G., 2006. A graph-theoretic perspective on centrality. Social networks, 28(4), pp. 466--484.
[30]
Freeman, L. C. 1978. Centrality in social networks conceptual clarification. Social networks, 1(3), pp. 215--239.
[31]
Horn, R. A. and Johnson, C. R. 1990. Matrix Analysis. Cambridge University Press.
[32]
Newman, M. E. J. 2007. The New Palgrave Encyclopedia of Economics, Mathematics of networks. Palgrave Macmillan, Basingstoke.
[33]
Feld, S. L. 1991. Why your friends have more friends than you do. American Journal of Sociology, pp. 1464--1477.
[34]
Koohborfardhaghighi, S. and Altmann, J. 2014. How structural changes in complex networks impact organizational learning performance. 6th Intl. W. on Emergent Intelligence on Networked Agents.
[35]
Koohborfardhaghighi, S. and Altmann, J. 2016. How Network Visibility and Strategic Networking Leads to the Emergence of Certain Network Characteristics: A Complex Adaptive System Approach. In Proceedings of the 18th International Conference on Electronic Commerce.

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  • (2019)Service User Perspectives on Delivering Social Innovation: An Implication of the Internet of Things for BusinessEconomics of Grids, Clouds, Systems, and Services10.1007/978-3-030-13342-9_14(160-168)Online publication date: 8-Feb-2019
  • (2019)Delivering a Systematic Framework for the Selection and Evaluation of StartupsEconomics of Grids, Clouds, Systems, and Services10.1007/978-3-030-13342-9_13(151-159)Online publication date: 8-Feb-2019
  • (2017)Social analytics framework for intelligent information systems based on a complex adaptive systems approachProceedings of the International Conference on Web Intelligence10.1145/3106426.3109430(1010-1017)Online publication date: 23-Aug-2017
  • Show More Cited By

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        cover image ACM Other conferences
        ICEC '16: Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World
        August 2016
        311 pages
        ISBN:9781450342223
        DOI:10.1145/2971603
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        • BigBang Angels: BigBang Angels
        • Benple: Benple
        • Women's News Inc.: Women's News Inc.
        • FKII: The Federation of Korean Infomation Industries
        • Korea Internet Corporations Association: Korea Internet Corporations Association
        • KOFST: Korean Federation of Science and Technology Societies
        • NIA: National Information Society Agency, Republic of Korea
        • HAREX: HAREX InfoTech Inc.
        • Haitai: Haitai Confectionery & Foods Co., Ltd.
        • KTO: Korea Tourism Organization
        • G-MICE Bureau: Gyeonggi MICE Bureau
        • IT Daily: ITMG Corp.
        • Suwon City: Suwon City
        • ALLWIN: ALLWIN
        • DIPA: Digital Industry Promotion Agency of Yongin City
        • Tech M: Moneytoday Network Inc.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 17 August 2016

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        Author Tags

        1. agent-based modeling and simulation
        2. co-author model
        3. complex adaptive system approach
        4. network growth models
        5. social welfare
        6. strategic behavior
        7. utility maximization

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        • Research-article

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        ICEC '16
        Sponsor:
        • BigBang Angels
        • Benple
        • Women's News Inc.
        • FKII
        • Korea Internet Corporations Association
        • KOFST
        • NIA
        • HAREX
        • Haitai
        • KTO
        • G-MICE Bureau
        • IT Daily
        • Suwon City
        • ALLWIN
        • DIPA
        • Tech M
        ICEC '16: International Conference on Electronic Commerce 2016
        August 17 - 19, 2016
        Suwon, Republic of Korea

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        ICEC '16 Paper Acceptance Rate 44 of 55 submissions, 80%;
        Overall Acceptance Rate 150 of 244 submissions, 61%

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        View all
        • (2019)Service User Perspectives on Delivering Social Innovation: An Implication of the Internet of Things for BusinessEconomics of Grids, Clouds, Systems, and Services10.1007/978-3-030-13342-9_14(160-168)Online publication date: 8-Feb-2019
        • (2019)Delivering a Systematic Framework for the Selection and Evaluation of StartupsEconomics of Grids, Clouds, Systems, and Services10.1007/978-3-030-13342-9_13(151-159)Online publication date: 8-Feb-2019
        • (2017)Social analytics framework for intelligent information systems based on a complex adaptive systems approachProceedings of the International Conference on Web Intelligence10.1145/3106426.3109430(1010-1017)Online publication date: 23-Aug-2017
        • (2017)How bounded rationality of individuals in social interactions impacts evolutionary dynamics of cooperationProceedings of the International Conference on Web Intelligence10.1145/3106426.3106511(381-388)Online publication date: 23-Aug-2017
        • (2016)How network visibility and strategic networking leads to the emergence of certain network characteristicsProceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World10.1145/2971603.2971632(1-7)Online publication date: 17-Aug-2016

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