ITM Web Conf.
Volume 7, 20163rd Annual International Conference on Information Technology and Applications (ITA 2016)
|Number of page(s)||3|
|Section||Session 4: Information System and its Applications|
|Published online||21 November 2016|
Traffic Distribution of IM Services
1 State Key Lab. of Networking and Switching Technology
2 Key Lab. of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, P.R.China
With the proposition of new opinion that the distribution of many human activities follows heavy-tailed distribution rather than Poisson distribution, the research on human behaviors has received widely attention. As the rapidly development of Immediate Message (IM) services in China, it could exactly reflect the characters of user online behaviors. QQ and We Chat are two of the most popular IM services in China. In the paper, we analyze the records of all QQ and We Chat users in City-A. We find the distribution of traffic records produced by IM service users follows heavy-tailed distribution, but it can’t be fitted by existing functions properly. Then we present a new distribution --Lognormal Exponent (LNE) distribution to approximate the tail of the statistics. Our research will benefit for the research on human dynamics and the traffic engineering.
© Owned by the authors, published by EDP Sciences, 2016
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.