ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)||5|
|Section||Session 4: Information Theory and Information Systems|
|Published online||05 September 2017|
Social Relationship Discovery Via Call Records
School Of Software Engineering, South China University of Technology, Guangzhou, China
Telecom users constitute a huge, but relatively sparse social network. Community discovery has been a research topic of data mining. Traditional algorithms are greatly influenced by outliers. This paper presents a new algorithm based on social triangle theory. Experiments show that the new algorithm is effective.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.