Multiple-Population Mean Field Game for Social Networks

Reginald A. Banez; Lixin Li; Chungang Yang; Zhu Han

doi:10.1007/978-3-030-86905-2_5

Multiple-Population Mean Field Game for Social Networks

Reginald A. Banez, Lixin Li, Chungang Yang, Zhu Han

School of Electronics and Information

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

The number of users engaged in social media through social networks continues to grow as people become more passionate on current social topics and issues. When social network users share similar characteristics such as political orientation, age, and gender, they can be grouped and analyzed according to these similarities. Meanwhile, the behavior of users in a social network setting can be extracted from their belief and opinions regarding social topics and issues.

Original language	English
Title of host publication	Wireless Networks (United Kingdom)
Publisher	Springer Science and Business Media B.V.
Pages	113-145
Number of pages	33
DOIs	https://doi.org/10.1007/978-3-030-86905-2_5
State	Published - 2021

Publication series

Name	Wireless Networks (United Kingdom)
ISSN (Print)	2366-1186
ISSN (Electronic)	2366-1445

Access to Document

10.1007/978-3-030-86905-2_5

Cite this

@inbook{59f09335361148dba5a0f867a37bfb59,

title = "Multiple-Population Mean Field Game for Social Networks",

abstract = "The number of users engaged in social media through social networks continues to grow as people become more passionate on current social topics and issues. When social network users share similar characteristics such as political orientation, age, and gender, they can be grouped and analyzed according to these similarities. Meanwhile, the behavior of users in a social network setting can be extracted from their belief and opinions regarding social topics and issues.",

author = "Banez, {Reginald A.} and Lixin Li and Chungang Yang and Zhu Han",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2021",

doi = "10.1007/978-3-030-86905-2_5",

language = "英语",

series = "Wireless Networks (United Kingdom)",

publisher = "Springer Science and Business Media B.V.",

pages = "113--145",

booktitle = "Wireless Networks (United Kingdom)",

}

TY - CHAP

T1 - Multiple-Population Mean Field Game for Social Networks

AU - Banez, Reginald A.

AU - Li, Lixin

AU - Yang, Chungang

AU - Han, Zhu

PY - 2021

Y1 - 2021

N2 - The number of users engaged in social media through social networks continues to grow as people become more passionate on current social topics and issues. When social network users share similar characteristics such as political orientation, age, and gender, they can be grouped and analyzed according to these similarities. Meanwhile, the behavior of users in a social network setting can be extracted from their belief and opinions regarding social topics and issues.

AB - The number of users engaged in social media through social networks continues to grow as people become more passionate on current social topics and issues. When social network users share similar characteristics such as political orientation, age, and gender, they can be grouped and analyzed according to these similarities. Meanwhile, the behavior of users in a social network setting can be extracted from their belief and opinions regarding social topics and issues.

UR - http://www.scopus.com/inward/record.url?scp=85118430565&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-86905-2_5

DO - 10.1007/978-3-030-86905-2_5

M3 - 章节

AN - SCOPUS:85118430565

T3 - Wireless Networks (United Kingdom)

SP - 113

EP - 145

BT - Wireless Networks (United Kingdom)

PB - Springer Science and Business Media B.V.

ER -

Multiple-Population Mean Field Game for Social Networks

Abstract

Publication series

Access to Document

Other files and links

Fingerprint

Cite this