Emergent Communities in Socio-Cognitive Networks

Vincent Danos; Ricardo Honorato Zimmer

doi:10.1109/FAS-W.2016.19

Emergent Communities in Socio-Cognitive Networks

Vincent Danos, Ricardo Honorato Zimmer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We investigate a recent network model [13] which combines social and cognitive features. Each node in the social network holds a (possibly different) cognitive network that represent its beliefs. In this internal cognitive network a node denotes a concept and a link indicates whether the two linked concepts are taken to be of a similar or opposite nature. We show how these networks naturally organise into communities and use this to develop a method that detects communities in social networks. How they organise depends on the social structure and the ratio between the cognitive and social forces driving the propagation of beliefs.

Original language	English
Title of host publication	IEEE International Workshops on Foundations and Applications of Self* Systems
Place of Publication	Augsburg, Germany
Publisher	Institute of Electrical and Electronics Engineers
Pages	24-29
Number of pages	6
ISBN (Electronic)	978-1-5090-3651-6
ISBN (Print)	978-1-5090-3652-3
DOIs	https://doi.org/10.1109/FAS-W.2016.19
Publication status	Published - 19 Dec 2016
Event	2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems - University of Augsburg, Augsburg, Germany Duration: 12 Sept 2016 → 16 Sept 2016 http://fasstar2016.informatik.uni-augsburg.de/

Conference

Conference	2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems
Abbreviated title	FAS*W
Country/Territory	Germany
City	Augsburg
Period	12/09/16 → 16/09/16
Internet address	http://fasstar2016.informatik.uni-augsburg.de/

Access to Document

10.1109/FAS-W.2016.19

soccog-2Accepted author manuscript, 415 KB

http://ieeexplore.ieee.org/document/7789435/

RULE
Danos, V. (Principal Investigator) & Plotkin, G. (Co-investigator)
EU government bodies
1/02/13 → 31/01/18
Project: Research

Cite this

@inproceedings{7b95608725a843ed85761b17b7954a6b,

title = "Emergent Communities in Socio-Cognitive Networks",

abstract = "We investigate a recent network model [13] which combines social and cognitive features. Each node in the social network holds a (possibly different) cognitive network that represent its beliefs. In this internal cognitive network a node denotes a concept and a link indicates whether the two linked concepts are taken to be of a similar or opposite nature. We show how these networks naturally organise into communities and use this to develop a method that detects communities in social networks. How they organise depends on the social structure and the ratio between the cognitive and social forces driving the propagation of beliefs.",

author = "Vincent Danos and {Honorato Zimmer}, Ricardo",

year = "2016",

month = dec,

day = "19",

doi = "10.1109/FAS-W.2016.19",

language = "English",

isbn = "978-1-5090-3652-3",

pages = "24--29",

booktitle = "IEEE International Workshops on Foundations and Applications of Self* Systems",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems , FAS*W ; Conference date: 12-09-2016 Through 16-09-2016",

url = "http://fasstar2016.informatik.uni-augsburg.de/",

}

Danos, V & Honorato Zimmer, R 2016, Emergent Communities in Socio-Cognitive Networks. in IEEE International Workshops on Foundations and Applications of Self* Systems. Institute of Electrical and Electronics Engineers, Augsburg, Germany, pp. 24-29, 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems , Augsburg, Germany, 12/09/16. https://doi.org/10.1109/FAS-W.2016.19

TY - GEN

T1 - Emergent Communities in Socio-Cognitive Networks

AU - Danos, Vincent

AU - Honorato Zimmer, Ricardo

PY - 2016/12/19

Y1 - 2016/12/19

N2 - We investigate a recent network model [13] which combines social and cognitive features. Each node in the social network holds a (possibly different) cognitive network that represent its beliefs. In this internal cognitive network a node denotes a concept and a link indicates whether the two linked concepts are taken to be of a similar or opposite nature. We show how these networks naturally organise into communities and use this to develop a method that detects communities in social networks. How they organise depends on the social structure and the ratio between the cognitive and social forces driving the propagation of beliefs.

AB - We investigate a recent network model [13] which combines social and cognitive features. Each node in the social network holds a (possibly different) cognitive network that represent its beliefs. In this internal cognitive network a node denotes a concept and a link indicates whether the two linked concepts are taken to be of a similar or opposite nature. We show how these networks naturally organise into communities and use this to develop a method that detects communities in social networks. How they organise depends on the social structure and the ratio between the cognitive and social forces driving the propagation of beliefs.

U2 - 10.1109/FAS-W.2016.19

DO - 10.1109/FAS-W.2016.19

M3 - Conference contribution

SN - 978-1-5090-3652-3

SP - 24

EP - 29

BT - IEEE International Workshops on Foundations and Applications of Self* Systems

PB - Institute of Electrical and Electronics Engineers

CY - Augsburg, Germany

T2 - 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems

Y2 - 12 September 2016 through 16 September 2016

ER -

Emergent Communities in Socio-Cognitive Networks

Abstract

Conference

Access to Document

Fingerprint

Projects

RULE

Cite this