Volume 114, Number 5, June 2016
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||28 June 2016|
Critical size of ego communication networks
1 State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications Beijing 100876, PRC
2 School of Information and Communication Engineering, Beijing University of Posts and Telecommunications Beijing 100876, PRC
3 CompleX Lab, Web Sciences Center, University of Electronic Science and Technology of China Chengdu 611731, PRC
4 Big Data Research Center, University of Electronic Science and Technology of China - Chengdu 611731, PRC
Received: 22 December 2015
Accepted: 13 June 2016
With the help of information and communication technologies, studies on the overall social networks have been extensively reported recently. However, investigations on the directed Ego Communication Networks (ECNs) remain insufficient, where an ECN stands for a sub network composed of a centralized individual and his/her direct contacts. In this paper, the directed ECNs are built on the Call Detail Records (CDRs), which cover more than 7 million people of a provincial capital city in China for half a year. Results show that there is a critical size for ECN at about 150, above which the average emotional closeness between ego and alters drops, the balanced relationship between ego and network collapses, and the proportion of strong ties decreases. This paper not only demonstrate the significance of ECN size in affecting its properties, but also shows accordance with the “Dunbar's Number”. These results can be viewed as a cross-culture supportive evidence to the well-known Social Brain Hypothesis (SBH).
PACS: 89.65.Ef – Social organizations; anthropology / 87.23.Ge – Dynamics of social systems / 89.75.Fb – Structures and organization in complex systems
© EPLA, 2016
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.