Skip to main content

Information Retention in Heterogeneous Majority Dynamics

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10660))

Abstract

A dynamics retains a specific information about the starting state of a networked multi-player system if this information can be computed from the state of the system also after several rounds of the dynamics. Information retention has been studied for the function that returns the majority of the states in systems in which players have states in \(\{0,1\}\) and the system evolves according to the majority dynamics: each player repeatedly updates its state to match the local majority among neighbors only. Positive and negative results have been given for probabilistic settings in which the initial states of the players are chosen at random and in worst-case settings in which the initial state is chosen non-deterministically.

In this paper, we study the (lack of) retention of information on the majority state (that is, which states appear in more players) for a generalization of the majority dynamics that we call heterogeneous majority dynamics. Here, each player x changes its state from the initial state \(\mathbf {b}(x)\in \{0,1\}\) to the opposite state \(1-\mathbf {b}(x)\) only if there is a surplus greater than \(a_x\) of neighbors that express that opinion. The non-negative player-dependent parameter \(a_x\) is called the stubbornness of x. We call stubborn the players which never change opinion when they are part of the majority. We give a complete characterization of the graphs that do not retain information about the starting majority; i.e., they admit a starting state for which the heterogeneous majority dynamics takes the system from a majority of 0’s to a majority of 1’s. We call this phenomenon “minority becomes Majority” (or mbM) and our main result shows that it occurs in all graphs provided that at least one player is non-stubborn. In other words, either no player in the majority will ever change its state (because they are all stubborn) or there is a starting configuration in which information regarding the majority is not retained and minority becomes Majority.

Our results are closely related to discrete preference games, a game-theoretic model of opinion formation in social networks: an interplay of internal belief (corresponding to the initial state of the player) and of social pressure (described by the heterogeneous majority dynamics). Our results show that, because of local strategic decisions, the global majority can be subverted.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Acar, E., Greco, G., Manna, M.: Group reasoning in social environments. In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, 8–12 May 2017, São Paulo, Brazil, pp. 1296–1304 (2017)

    Google Scholar 

  2. Angluin, D., Aspnes, J., Eisenstat, D.: A simple population protocol for fast robust approximate majority. Distrib. Comput. 21(2), 87–102 (2008)

    Article  MATH  Google Scholar 

  3. Auletta, V., Caragiannis, I., Ferraioli, D., Galdi, C., Persiano, G.: Minority becomes majority in social networks. In: Markakis, E., Schäfer, G. (eds.) WINE 2015. LNCS, vol. 9470, pp. 74–88. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-48995-6_6

    Chapter  Google Scholar 

  4. Auletta, V., Caragiannis, I., Ferraioli, D., Galdi, C., Persiano, G.: Generalized discrete preference games. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9–15 July 2016, pp. 53–59 (2016)

    Google Scholar 

  5. Auletta, V., Caragiannis, I., Ferraioli, D., Galdi, C., Persiano, G.: Information retention in heterogeneous majority dynamics. arXiv preprint arXiv:1603.02971 (2016)

  6. Auletta, V., Caragiannis, I., Ferraioli, D., Galdi, C., Persiano, G.: Robustness in discrete preference games. In: Proceedings of the 2017 International Conference on Autonomous Agents & Multiagent Systems, 8–12 May 2017, Sao Paulo (2017)

    Google Scholar 

  7. Auletta, V., Ferraioli, D., Pasquale, F., Penna, P., Persiano, G.: Logit dynamics with concurrent updates for local interaction games. In: Bodlaender, H.L., Italiano, G.F. (eds.) ESA 2013. LNCS, vol. 8125, pp. 73–84. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40450-4_7

    Chapter  Google Scholar 

  8. Auletta, V., Ferraioli, D., Pasquale, F., Persiano, G.: Mixing time and stationary expected social welfare of logit dynamics. Theor. Comput. Syst. 53(1), 3–40 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  9. Berger, E.: Dynamic monopolies of constant size. J. Comb. Theor. Ser. B 83(2), 191–200 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  10. Bhawalkar, K., Gollapudi, S., Munagala, K.: Coevolutionary opinion formation games. In: STOC, pp. 41–50. ACM (2013)

    Google Scholar 

  11. Bilò, V., Fanelli, A., Moscardelli, L.: Opinion formation games with dynamic social influences. In: Cai, Y., Vetta, A. (eds.) WINE 2016. LNCS, vol. 10123, pp. 444–458. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-54110-4_31

    Chapter  Google Scholar 

  12. Bindel, D., Kleinberg, J.M., Oren, S.: How bad is forming your own opinion? In: Proceedings of the 52nd Annual IEEE Symposium on Foundations of Computer Science (FOCS), pp. 55–66 (2011)

    Google Scholar 

  13. Chierichetti, F., Kleinberg, J.M., Oren, S.: On discrete preferences and coordination. In: Proceedings of the 14th ACM Conference on Electronic Commerce (EC), pp. 233–250 (2013)

    Google Scholar 

  14. DeGroot, M.H.: Reaching a consensus. J. Am. Stat. Assoc. 69(345), 118–121 (1974)

    Article  MATH  Google Scholar 

  15. Ferraioli, D., Goldberg, P.W., Ventre, C.: Decentralized dynamics for finite opinion games. Theor. Comput. Sci. 648, 96–115 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  16. Friedkin, N.E., Johnsen, E.C.: Social influence and opinions. J. Math. Sociol. 15(3–4), 193–205 (1990)

    Article  MATH  Google Scholar 

  17. Mertzios, G.B., Nikoletseas, S.E., Raptopoulos, C.L., Spirakis, P.G.: Determining majority in networks with local interactions and very small local memory. Distrib. Comput. 30(1), 1–16 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  18. Mossel, E., Neeman, J., Tamuz, O.: Majority dynamics and aggregation of information in social networks. Auton. Agent. Multi-agent Syst. 28(3), 408–429 (2014)

    Article  Google Scholar 

  19. Peleg, D.: Local majorities, coalitions and monopolies in graphs: a review. Theor. Comput. Sci. 282, 231–257 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  20. Schäffer, A.A., Yannakakis, M.: Simple local search problems that are hard to solve. SIAM J. Comput. 20(1), 56–87 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  21. Tamuz, O., Tessler, R.J.: Majority dynamics and the retention of information. Isr. J. Math. 206(1), 483–507 (2015)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

This work was partially supported by a Caratheodory research grant E.114 from the University of Patras and by the “GNCS – INdAM”. Part of this work done while G. Persiano was visiting Google, New York.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Diodato Ferraioli .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Auletta, V., Caragiannis, I., Ferraioli, D., Galdi, C., Persiano, G. (2017). Information Retention in Heterogeneous Majority Dynamics. In: R. Devanur, N., Lu, P. (eds) Web and Internet Economics. WINE 2017. Lecture Notes in Computer Science(), vol 10660. Springer, Cham. https://doi.org/10.1007/978-3-319-71924-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-71924-5_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71923-8

  • Online ISBN: 978-3-319-71924-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics