Knowledge Sharing in the Online Social Network of Yahoo! Answers and Its Implications
Publication Date : 31/03/2016
- Query and Explanation (Q&A) websites such as Yahoo! Explanations provide a platform where users can post query and receive explanation. These systems take advantage of the collective intelligence of users to find information. In this paper, we analyze the online social network (OSN) in Yahoo! Explanations. Based on a large amount of our collected data, we studied the OSN’s structural properties, which reveals extremely distinct properties such as low link symmetry and weak correlation between thus and outdegree.After studying the knowledge base and behaviors of the users, we find that a small number of top contributors explanation most of the query in the system. Also, each top contributor focuses only on a few knowledge class. In addition, the knowledge class of the users are highly clustered. We also study the knowledge base in a user’s social network, which acknowledge that the members in a user’s social network share only a few knowledge class. Based on the findings, we provide guidance in the design of spammer detection algorithms and distributed Q&A systems. We also propose a friendship-knowledge adapt Q&A framework that synergistically combines current OSN-based Q&A and web Q&A. We accept that the results presented in this paper are crucial in understanding the collective intelligence in the web Q&A OSNs and lay a essential for the evolution of next-generation Q&A systems.
No. of Downloads :