Online Communities: Designing Usability and Supporting Socialbilty
Online Communities: Designing Usability and Supporting Socialbilty
Social Computing and Weighting to Identify Member Roles in Online Communities
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
You Are Who You Talk To: Detecting Roles in Usenet Newsgroups
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 03
Supporting online problem-solving communities with the semantic web
Proceedings of the 15th international conference on World Wide Web
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Identifying user behavior in online social networks
Proceedings of the 1st Workshop on Social Network Systems
A Conceptual and Operational Definition of 'Social Role' in Online Community
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Social Influence and Role Analysis Based on Community Structure in Social Network
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
How to Establish an Online Innovation Community? the Role of Users and Their Innovative Content
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Developing the role concept for computer-supported collaborative learning: An explorative synthesis
Computers in Human Behavior
Role defining using behavior-based clustering in telecommunication network
Expert Systems with Applications: An International Journal
Predicting discussions on the social semantic web
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Modelling and analysis of user behaviour in online communities
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Towards semantically-interlinked online communities
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Least squares quantization in PCM
IEEE Transactions on Information Theory
Large-scale social-media analytics on stratosphere
Proceedings of the 22nd international conference on World Wide Web companion
A survey on ontologies for human behavior recognition
ACM Computing Surveys (CSUR)
Semantic security against web application attacks
Information Sciences: an International Journal
Towards adaptive normative systems for communities of agents
Web Intelligence and Agent Systems - Web Intelligence and Communities
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Online communities provide a useful environment for web users to communicate and interact with other users by sharing their thoughts, ideas and opinions, and for resolving problems and issues. Companies and organisations now host online communities in order to support their products and services. Given this investment such communities are required to remain healthy and flourish. The behaviour that users exhibit within online communities is associated with their actions and interactions with other community users while the role that a user assumes is the label associated with a given type of behaviour. The domination of one type of behaviour within an online community can impact upon its health, for example, it might be the case within a question-answering community that there is a large portion of expert users and very few users asking questions, thereby reducing the involvement of and the need for experts. Understanding how the role composition - i.e. the distribution of users assuming different roles - of a community affects its health informs community managers with the early indicators of possible reductions or increases in community activity and how the community is expected to change. In this paper we present an approach to analyse communities based on their role compositions. We present a behaviour ontology that captures user behaviour within a given context (i.e. time period and community) and a semantic-rule based methodology to infer the role that a user has within a community based on his/her exhibited behaviour. We describe a method to tune roles for a given community-platform through the use of statistical clustering and discretisation of continuous feature values. We demonstrate the utility of our approach through role composition analyses of the SAP Community Network by: (a) gauging the differences between communities, (b) predicting community activity increase/decrease, and (c) performing regression analysis of the post count within each community. Our findings indicate that communities on the SAP Community Network differ in terms of their average role percentages and experts, while being similar to one another in terms of the dominant role in each community - being a novice user. The findings also indicate that an increase in expert users who ask questions and initiate discussions was associated with increased community activity and that for 23 of the 25 communities analysed we were able to accurately detect a decrease in community activity using the community's role composition.