@conference{twitter2015,
author = "Serrano, Emilio and Iglesias, Carlos A. and Garijo, Mercedes",
abstract = "Viral marketing, marketing techniques that use pre-existing social networks, has experienced a significant encouragement in the last years. In this scope, Twitter is the most studied social network in viral marketing and the rumor spread is a widely researched problem. This paper contributes with a (1) novel agent-based social simulation model for rumors spread in Twitter. This model relies on the hypothesis that (2) when a user is recovered, this user will not influence his or her neighbors in the social network to recover. To support this hypothesis: (3) two Twitter rumor datasets are studied; (4) a baseline model which does not include the hypothesis is revised, reproduced, and implemented; (5) and a number of experiments are conducted comparing the real data with the two models results.",
booktitle = "Proceeding WWW '15 Companion Proceedings of the 24th International Conference on World Wide Web",
doi = "10.1145/2740908.2742466",
isbn = " 978-1-4503-3473-0",
keywords = "Agent-based Social Simulation;agent-based model;rumor spreading model;information diffusion model;social networks;twitter;big data",
month = "May",
organization = "6th International Workshop on Modeling Social Media - Behavioral Analytics in Social Media, Big Data and the Web; co-located with the 24th International World Wide Web Conference",
pages = " 811-814",
publisher = "W3C",
title = "{A} {N}ovel {A}gent-{B}ased {R}umor {S}preading {M}odel in {T}witter",
url = "https://www.kde.cs.uni-kassel.de/ws/msm2015/",
volume = "WWW '15 Companion ",
year = "2015",
}