Finding email correspondents in online social networks
Email correspondents play an important role in many people's social networks. Finding email correspondents in social networks accurately, though may seem to be straightforward at a first glance, is challenging. Most of the existing online social networking sites recommend possible matches by comparing the information of email accounts and social network profiles, such as display names and email addresses. However, as shown empirically in this paper, such methods may not be effective in practice. To the best of our knowledge, this problem has not been carefully and thoroughly addressed in research. In this paper, we systematically investigate the problem and develop a practical data mining approach. We find that using only the profiles or the graph structures is far from effective. Our method utilizes the similarity between email accounts and social network user profiles, and at the same time explores the similarity between the email communication network and the social network under investigation. We demonstrate the effectiveness of our method using two real data sets on emails and Facebook. © 2012 Springer Science+Business Media, LLC.
Duke Scholars
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- Information Systems
- 46 Information and computing sciences
- 0806 Information Systems
- 0805 Distributed Computing
- 0804 Data Format
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Information Systems
- 46 Information and computing sciences
- 0806 Information Systems
- 0805 Distributed Computing
- 0804 Data Format