Questionnaire-based evaluation of characteristics of a community in SNS

Authors:
Susumu Takeuchi;Masanori Akiyoshi;Norihisa Komoda
Affiliations:
Osaka University, Graduate School of Information Science and Technology, Suita, Osaka, Japan;Osaka University, Graduate School of Information Science and Technology, Suita, Osaka, Japan;Osaka University, Graduate School of Information Science and Technology, Suita, Osaka, Japan
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2008

Citing 9
Cited 3

Social information filtering: algorithms for automating “word of mouth”

CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recommender systems

Communications of the ACM
Referral Web: combining social networks and collaborative filtering

Communications of the ACM
A hybrid user model for news story classification

UM '99 Proceedings of the seventh international conference on User modeling
Designing the Internet for a networked society

Communications of the ACM - The Adaptive Web
Content-boosted collaborative filtering for improved recommendations

Eighteenth national conference on Artificial intelligence
Leveraging social networks for information sharing

CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Evaluating similarity measures: a large-scale study in the orkut social network

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Personalization technologies: a process-oriented perspective

Communications of the ACM - The digital society

A consumer support architecture for enhancing customer relationships

WSEAS Transactions on Information Science and Applications
An ontology-based architecture for consumer support systems

WSEAS Transactions on Information Science and Applications
Development the strategics and customer relationship management model for medical center outpatient services

WSEAS Transactions on Information Science and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Currently, SNSes (Social Networking Services) are widely available on the Internet. In a SNS, users can communicate with the users who have a similar interest in a community. To activate communications drastically in SNS, users are encouraged to join other dissimilar communities. In this paper, utilizing activities of communities and relationships with communities is proposed to realize a dissimilar community recommendation. However, such communities tend to be useless for the users, so that investigating characteristics of communities that are selected by the methods is necessary to recommend. By utilizing real data in the largest SNS in Japan, the correlations between the users' subjective judgments and the characteristics of communities are evaluated. As a result, it is clarified that effective recommendation of dissimilar communities will be possible by integrating activities of communities and relationships with communities.