Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Introduction Read chapter Read first chapter

2018 | OriginalPaper | Chapter

8. Bringing Lurking in Game Theory

Authors : Andrea Tagarelli, Roberto Interdonato

Published in: Mining Lurkers in Online Social Networks

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this chapter, we describe the Lurker Game, i.e., a model for analyzing the transitions from a lurking to a non-lurking (i.e., active) user role, and vice versa, in terms of evolutionary game theory. A study carried out on different complex network models shows how the Lurker Game is suitable to model lurking dynamics, and how the adoption of rewarding mechanisms combined with the modeling of hypothetical heterogeneity of users’ interests may lead users in an online community towards a cooperative behavior.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Boundary Spanning Lurking
next chapter Concluding Remarks and Challenges
Literature
1.
G. Abramson and M. Kuperman. Social games in social networks. Physical Review E, 63, 2001.
2.
A. Anderson, D. Huttenlocher, J. Kleinberg, and J. Leskovec. Steering user behavior with badges. In Proc. ACM Conf. on World Wide Web (WWW), 2013.
3.
4.
A.L. Barabasi and R. Albert. Statistical mechanics of complex networks. Reviews of Modern Physics, 74:47–97, 2002.MathSciNetCrossRef
5.
A. Barra. The mean field Ising model trough interpolating techniques. Journal of Statistical Physics, 132-5:787–809, 2008.CrossRef
6.
D. Easley and J. Kleinberg. Networks, Crowds, and Markets: Reasoning about a highly connected world. Cambridge University Press, 2010.CrossRef
7.
F. Fu, D.I. Rosenbloom, L. Wang, and M.A. Nowak. Imitation dynamics of vaccination behavior on social networks. The Royal Society - Proc. B, 278, 2011.CrossRef
8.
9.
M. A. Javarone, R. Interdonato, and A. Tagarelli. Complex Networks VII: Proc. of the 7th Workshop on Complex Networks CompleNet 2016, chapter Modeling Evolutionary Dynamics of Lurking in Social Networks, pages 227–239. 2016.
10.
M.A. Javarone. Is poker a skill game? new insights from statistical physics. EPL, 110, 2015.
11.
M.A. Javarone. Statistical physics of the spatial prisoner’s dilemma with memory-aware agents. arxiv:1509.04558, 2015.
12.
M.A. Javarone and A.E. Atzeni. The role of competitiveness in the prisoner’s dilemma. Computational Social Networks, 2, 2015.
13.
E. Lieberman, C. Hauert, and M.A. Nowak. Evolutionary dynamics on graphs. Nature, 433:312–316, 2004.CrossRef
14.
F. D. Malliaros and M. Vazirgiannis. To stay or not to stay: modeling engagement dynamics in social graphs. In Proc. ACM Conf. on Information and Knowledge Management (CIKM), pages 469–478, 2013.
15.
M. Perc, J. Gomez-Gardenes, A. Szolnoki, L.M. Floria, and Y. Moreno. Evolutionary dynamics of group interactions on structured populations: a review. J. R. Soc. Interface, 10-80, 2013.
16.
M. Rowe. Mining user lifecycles from online community platforms and their application to churn prediction. In Proc. IEEE Int. Conf. on Data Mining (ICDM), pages 637–646, 2013.
17.
F. C. Santos, M. D. Santos, and J. M. Pacheco. Social diversity promotes the emergence of cooperation in public goods games. Nature, 454:231–216, 2008.
18.
K. Seaborn and D.I. Fels. Gamification in theory and action: A survey. International Journal of Human-Computer Studies, 74:14–31, 2015.CrossRef
19.
S. Van Segbroeck, F. C. Santos, T. Lenaerts, and J.M. Pacheco. Reacting differently to adverse ties promotes cooperation in social networks. Physical Review Letters, 102(058105), 2009.
20.
21.
A. Szolnoki and M. Perc. Reward and cooperation in the spatial public goods game. EPL, 92, 2010.CrossRef
22.
A. Szolnoki, G. Szabo, and M. Perc. Phase diagrams for the spatial public goods game with pool punishment. Physical Review E, 83, 2011.
23.
M. Tomassini. Introduction to evolutionary game theory. 2014.
24.
T. Vafeiadis, K. I. Diamantaras, G. Sarigiannidis, and K. Ch. Chatzisavvas. A comparison of machine learning techniques for customer churn prediction. Simulation Modelling Practice and Theory, 55:1–9, 2015.CrossRef
25.
Z. Wang, A. Szolnoki, and M. Perc. Interdependent network reciprocity in evolutionary games. Scientific Reports, 3-1183, 2013.
26.
D.J. Watts and S.H. Strogatz. Collective dynamics of small-world networks. Nature, 393:440–442, 1998.CrossRef
27.
S. Wu, A. D. Sarma, A. Fabrikant, S. Lattanzi, and A. Tomkins. Arrival and departure dynamics in social networks. In Proc. ACM Conf. on Web Search and Web Data Mining (WSDM), pages 233–242, 2013.
Metadata
Title
Bringing Lurking in Game Theory
Authors
Andrea Tagarelli
Roberto Interdonato
Copyright Year
2018
Book
Mining Lurkers in Online Social Networks

Print ISBN: 978-3-030-00228-2

Electronic ISBN: 978-3-030-00229-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00229-9_8

Premium Partner

    Image Credits