Calls for papers
International Journal of Social Network Mining
Special Issue on: "Social Knowledge Discovery and Management"
Guandong Xu, University of Technology, Sydney, Australia
Toshiyuki Amagasa, University of Tsukuba, Japan
Wu Zhiang, Nanjing University of Finance and Economics, China
Carson Leung, University of Manitoba, Canada
With the rising popularity of social media (e.g. Facebook, Twitter, Yahoo Answer, etc.), some types of spontaneous experience are being gained by daily users. This type of experience can be recognised as a particular way to cultivate domain knowledge.
One typical instance is friend-sourcing. Friend-sourcing gathers social information in a social context which can be used to personalise users’ computing experiences, for example to aid answering questions for topics comprehensible only to a few of a user’s friends. That is, people search on the web (i.e. social environment) to find solutions for issues that they are dealing, rather than finding them through traditional methods.
This reveals not only the problems that are being solved but also the process through which knowledge is discovered based upon the experience of other people. In these ways it is said that paradigms such as social computing and social networking have changed the behaviour of human beings.
In this context, knowledge discovery is the process of automatic extraction of interesting and useful knowledge from very large data, whereas knowledge utilisation consists of a range of strategies and practices to identify, create, represent, distribute and enable the adoption of novel insights and experiences for decision making. It is critical that issues regarding knowledge discovery and management are investigated. Various considerations should be carefully identified from both theoretical and practical perspectives to ensure the successful incorporation of these technologies.
This special issue aims to provide a forum for a timely, in-depth presentation of problems, current studies and solutions regarding how knowledge is discovered and managed in a socialised environment to facilitate human experience and satisfaction. Authors are encouraged to submit research papers on latest trends in technologies, techniques, methods and applications associated with social knowledge discovery and management.Subject Coverage
Suitable topics include but are not limited to:
- Social knowledge creation, sharing and management
- Semantic web, linked data and knowledge representation for the social web
- Social knowledge modelling
- Validation and verification of user-generated content
- Temporal and spatial analysis for complex data
- Scalability, visualisation and optimisation
- Intelligent systems for human-centric computing
- Adversarial blogging and counter measures
- Link analysis and network structure discovery
- Community detection and evolution
- Blog search and retrieval
- Group interaction, collaboration and recommendation
- Knowledge discovery (collective wisdom, trend analysis, topic detection)
- Social aspects of blogosphere
- Human interface and interaction techniques for social media
- Multimedia tools or applications to implement social knowledge networks
- Pedagogical issues of social knowledge
- Usability study of using social knowledge
- Structure, organisation and storage issues for user-generated content
- Context-awareness collective intelligence
- Social technologies for personalisation
- Concepts and case studies of knowledge discovery and utilisation
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper was not originally copyrighted and if it has been completely re-written).
All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page.
First submission deadline: 15 March, 2013 (extended)