TY - GEN
T1 - Multi-agent information diffusion model for Twitter
AU - Ikeda, Keisuke
AU - Okada, Yoshiyuki
AU - Toriumi, Fujio
AU - Sakaki, Takeshi
AU - Kazama, Kazuhiro
AU - Noda, Itsuki
AU - Shinoda, Kosuke
AU - Suwa, Hirohiko
AU - Kurihara, Satoshi
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/16
Y1 - 2014/10/16
N2 - During the 2011 East Japan Great Earthquake Disaster, many people used social media such as Twitter to get important information for their lives. But, generally, social media also has bad side, that is wrong information diffusion problem. In this paper, we will propose a novel multiagent-based information diffusion model, the Agent-based Information Diffusion Model (AIDM), and evaluate it. Up to now, our previous model is based on the SIR model, which is famous as a diffusion model of infection. The SIR model is represented by the stochastic state transition model for whether to propagate the information, and its transition probability is defined as the same value for all agents. However, people's thinking or actions are not the same. To make person's character heterogeneously, we adopted two elements in our proposal model: user diversity and multiplexing of information paths. From a comparison evaluation, it is shown that the proposed model basically to reproduce the information diffusion as same as the diffusion of real data.
AB - During the 2011 East Japan Great Earthquake Disaster, many people used social media such as Twitter to get important information for their lives. But, generally, social media also has bad side, that is wrong information diffusion problem. In this paper, we will propose a novel multiagent-based information diffusion model, the Agent-based Information Diffusion Model (AIDM), and evaluate it. Up to now, our previous model is based on the SIR model, which is famous as a diffusion model of infection. The SIR model is represented by the stochastic state transition model for whether to propagate the information, and its transition probability is defined as the same value for all agents. However, people's thinking or actions are not the same. To make person's character heterogeneously, we adopted two elements in our proposal model: user diversity and multiplexing of information paths. From a comparison evaluation, it is shown that the proposed model basically to reproduce the information diffusion as same as the diffusion of real data.
UR - http://www.scopus.com/inward/record.url?scp=84931676679&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84931676679&partnerID=8YFLogxK
U2 - 10.1109/WI-IAT.2014.12
DO - 10.1109/WI-IAT.2014.12
M3 - Conference contribution
AN - SCOPUS:84931676679
T3 - Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014
SP - 21
EP - 26
BT - Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014
A2 - Slezak, Dominik
A2 - Nguyen, Hung Son
A2 - Reformat, Marek
A2 - Santos, Eugene
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014
Y2 - 11 August 2014 through 14 August 2014
ER -