A novel agent-based rumor spreading model in twitter

WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web

Volumn , Issue , 2015, Pages 811-814

  Serrano, Emilio ^a   Iglesias, Carlos A ^a   Garijo, Mercedes ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Agent based Model; Agent based Social Simulation; Big Data; Information Diffusion Model; Rumor Spreading Model; Social Net works; Twitter

Indexed keywords

AUTONOMOUS AGENTS; BIG DATA; COMMERCE; COMPUTATIONAL METHODS; MARKETING; WORLD WIDE WEB;

AGENT BASED SOCIAL SIMULATION; AGENT-BASED MODEL; INFORMATION DIFFUSION MODELS; RUMOR SPREADING; TWITTER;

SOCIAL NETWORKING (ONLINE);

EID: 84968543819     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2740908.2742466     Document Type: Conference Paper

References (23)

1. Paper additional material, datasets and extended experiments. http: //goo. gl/ImJCKt.
2. Twitter REST API documentation website. https: //dev. Twitter. com/overview/documentation.
3. Twitter terms of use website. https: //dev. Twitter. com/overview/terms/policy.
4. M. De Domenico, A. Lima, P. Mougel, and M. Musolesi. The Anatomy of a Scientific Rumor. Scientific Reports, 3, Oct. 2013.
5. J. D. Farmer and D. Foley. The economy needs agent-based modelling. Nature, 460 (7256): 685-686, Aug. 2009.
6. F. Flentge, D. Polani, and T. Uthmann. Modelling the emergence of possession norms using memes. J. Artifical Societies and Social Simulation, (4).
7. T. Garcia-Valverde, F. Campuzano, E. Serrano, A. Villa, and J. A. Botia. Simulation of human behaviours for the validation of ambient intelligence services: A methodological approach. Journal of Ambient Intelligence and Smart Environments, 4 (3): 163-181, Aug. 2012.
8. M. A. d. C. Gatti, A. P. Appel, C. N. dos Santos, C. S. Pinhanez, P. R. Cavalin, and S. B. Neto. A simulation-based approach to analyze the information diffusion in microblogging online social network. In Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World, WSC '13, pages 1685-1696, Piscataway, NJ, USA, 2013. IEEE Press.
9. H. W. Hethcote. The mathematics of infectious diseases. SIAM Review, 42: 599-653, 2000.
10. J. Kostka, Y. A. Oswald, and R. Wattenhofer. Word of Mouth: Rumor Dissemination in Social Networks Structural Information and Communication Complexity. In A. A. Shvartsman and P. Felber, editors, Structural Information and Communication Complexity, volume 5058 of Lecture Notes in Computer Science, chapter 16, pages 185-196. Springer Berlin / Heidelberg, Berlin, Heidelberg, 2008.
11. D. Liu and X. Chen. Rumor propagation in online social networks like twitter-a simulation study. In Proceedings of the 2011 Third International Conference on Multimedia Information Networking and Security, MINES '11, pages 278-282, Washington, DC, USA, 2011. IEEE Computer Society.
12. M. Mendoza, B. Poblete, and C. Castillo. Twitter under crisis: Can we trust what we rt? In Proceedings of the First Workshop on Social Media Analytics, SOMA '10, pages 71-79, New York, NY, USA, 2010. ACM.
13. M. Nekovee, Y. Moreno, G. Bianconi, and M. Marsili. Theory of rumour spreading in complex social networks. Physica A: Statistical Mechanics and its Applications, 374 (1): 457-470, 2007.
14. V. Qazvinian, E. Rosengren, D. R. Radev, and Q. Mei. Rumor has it: Identifying misinformation in microblogs. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '11, pages 1589-1599, Stroudsburg, PA, USA, 2011. Association for Computational Linguistics.
15. W. Rand and R. T. Rust. Agent-based modeling in marketing: Guidelines for rigor. International Journal of Research in Marketing, 28 (3): 181-193, Sept. 2011.
16. E. Seo, P. Mohapatra, and T. Abdelzaher. Identifying rumors and their sources in social networks. 2012.
17. E. Serrano, P. Moncada, M. Garijo, and C. A. Iglesias. Evaluating social choice techniques into intelligent environments by agent based social simulation. Information Sciences, 286 (0): 102-124, 2014.
18. E. Serrano, G. Poveda, and M. Garijo. Towards a holistic framework for the evaluation of emergency plans in indoor environments. Sensors, 14 (3): 4513-4535, 2014.
19. E. Serrano, M. Rovatsos, and J. A. Bota. Data mining agent conversations: A qualitative approach to multiagent systems analysis. Information Sciences, 230 (0): 132-146, 2013.
20. S. Tisue and U. Wilensky. NetLogo: A Simple Environment for Modeling Complexity. 2004.
21. R. M. Tripathy, A. Bagchi, and S. Mehta. A study of rumor control strategies on social networks. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management, CIKM '10, pages 1817-1820, New York, NY, USA, 2010. ACM.
22. L. Weng, F. Menczer, and Y.-Y. Ahn. Virality prediction and community structure in social networks. Scientific Reports, 3, Aug. 2013.
23. S. Y. Yang, A. Liu, and S. Y. K. Mo. Twitter financial community modeling using agent based simulation. SSRN scholarly paper, Rochester, NY. IEEE Computational Intelligence in Financial Engineering and Economics, London, 2013.