TY - GEN
T1 - Signed link analysis in social media networks
AU - Beigi, Ghazaleh
AU - Tang, Jiliang
AU - Liu, Huan
N1 - Funding Information:
This material is based upon the work supported by, or in part by, Army Research Office (ARO) under grant numbers W911NF-15-1-0328 and #025071.
Publisher Copyright:
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - Numerous real-world relations can be represented by signed networks with positive links (e.g., trust) and negative links (e.g., distrust). Link analysis plays a crucial role in understanding the link formation and can advance various tasks in social network analysis such as link prediction. The majority of existing works on link analysis have focused on unsigned social networks. The existence of negative links determines that properties and principles of signed networks are substantially distinct from those of unsigned networks, thus we need dedicated efforts on link analysis in signed social networks. In this paper, following social theories in link analysis in unsigned networks, we adopt three social science theories, namely Emotional Information, Diffusion of Innovations and Individual Personality, to guide the task of link analysis in signed networks.
AB - Numerous real-world relations can be represented by signed networks with positive links (e.g., trust) and negative links (e.g., distrust). Link analysis plays a crucial role in understanding the link formation and can advance various tasks in social network analysis such as link prediction. The majority of existing works on link analysis have focused on unsigned social networks. The existence of negative links determines that properties and principles of signed networks are substantially distinct from those of unsigned networks, thus we need dedicated efforts on link analysis in signed social networks. In this paper, following social theories in link analysis in unsigned networks, we adopt three social science theories, namely Emotional Information, Diffusion of Innovations and Individual Personality, to guide the task of link analysis in signed networks.
UR - http://www.scopus.com/inward/record.url?scp=84979633203&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979633203&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84979633203
T3 - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
SP - 539
EP - 542
BT - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PB - AAAI press
T2 - 10th International Conference on Web and Social Media, ICWSM 2016
Y2 - 17 May 2016 through 20 May 2016
ER -