Discovering the dynamics in a social memory network

Lin Gao; Jiming LIU; Shiwu Zhang; Jie Yang

doi:10.1109/WIIAT.2008.186

Discovering the dynamics in a social memory network

Lin Gao^*, Jiming LIU, Shiwu Zhang, Jie Yang

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

A social network consists of events and individuals, in which the events denote the activities happening in the system and the individuals denotes the peoples who are attracted into the activities. A memory feature exists in a dynamic social network which leads to the decay of the event attraction, and further influences the structure and the dynamics of the network. In the paper, an agent model for a social memory network is built and implemented. The simulation result reveals the dynamics of the average life span of events. The result also discovers how a social network with a small "diameter" and a large clustering coefficient evolves. The model is validated with the empirical data from USTC Bulletin Board System (BBS).

Original language	English
Title of host publication	Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
Pages	200-203
Number of pages	4
DOIs	https://doi.org/10.1109/WIIAT.2008.186
Publication status	Published - 2008
Event	2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW, Australia Duration: 9 Dec 2008 → 12 Dec 2008

Publication series

Name	Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008

Conference

Conference	2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
Country/Territory	Australia
City	Sydney, NSW
Period	9/12/08 → 12/12/08

Scopus Subject Areas

Computer Networks and Communications
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/WIIAT.2008.186

Cite this

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title = "Discovering the dynamics in a social memory network",

abstract = "A social network consists of events and individuals, in which the events denote the activities happening in the system and the individuals denotes the peoples who are attracted into the activities. A memory feature exists in a dynamic social network which leads to the decay of the event attraction, and further influences the structure and the dynamics of the network. In the paper, an agent model for a social memory network is built and implemented. The simulation result reveals the dynamics of the average life span of events. The result also discovers how a social network with a small {"}diameter{"} and a large clustering coefficient evolves. The model is validated with the empirical data from USTC Bulletin Board System (BBS).",

author = "Lin Gao and Jiming LIU and Shiwu Zhang and Jie Yang",

year = "2008",

doi = "10.1109/WIIAT.2008.186",

language = "English",

isbn = "9780769534961",

series = "Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008",

pages = "200--203",

booktitle = "Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008",

}

Gao, L, LIU, J, Zhang, S & Yang, J 2008, Discovering the dynamics in a social memory network. in Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008., 4740449, Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008, pp. 200-203, 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008, Sydney, NSW, Australia, 9/12/08. https://doi.org/10.1109/WIIAT.2008.186

Discovering the dynamics in a social memory network. / Gao, Lin; LIU, Jiming; Zhang, Shiwu et al.
Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008. 2008. p. 200-203 4740449 (Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Discovering the dynamics in a social memory network

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AU - LIU, Jiming

AU - Zhang, Shiwu

AU - Yang, Jie

PY - 2008

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N2 - A social network consists of events and individuals, in which the events denote the activities happening in the system and the individuals denotes the peoples who are attracted into the activities. A memory feature exists in a dynamic social network which leads to the decay of the event attraction, and further influences the structure and the dynamics of the network. In the paper, an agent model for a social memory network is built and implemented. The simulation result reveals the dynamics of the average life span of events. The result also discovers how a social network with a small "diameter" and a large clustering coefficient evolves. The model is validated with the empirical data from USTC Bulletin Board System (BBS).

AB - A social network consists of events and individuals, in which the events denote the activities happening in the system and the individuals denotes the peoples who are attracted into the activities. A memory feature exists in a dynamic social network which leads to the decay of the event attraction, and further influences the structure and the dynamics of the network. In the paper, an agent model for a social memory network is built and implemented. The simulation result reveals the dynamics of the average life span of events. The result also discovers how a social network with a small "diameter" and a large clustering coefficient evolves. The model is validated with the empirical data from USTC Bulletin Board System (BBS).

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DO - 10.1109/WIIAT.2008.186

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T3 - Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008

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BT - Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008

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Y2 - 9 December 2008 through 12 December 2008

ER -

Discovering the dynamics in a social memory network

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