Dynamic Patterns of Academic Forum Activities
arXiv:1505.08159 · doi:10.1016/j.physa.2016.05.033
Abstract
A mass of traces of human activities show rich dynamic patterns. In this article, we comprehensively investigate the dynamic patterns of 50 thousands of researchers' activities in Sciencenet, the largest multi-disciplinary academic community in China. Through statistical analyses, we found that (i) there exists a power-law scaling between the frequency of visits to an academic forum and the number of corresponding visitors, with the exponent being about 1.33; (ii) the expansion process of academic forums obeys the Heaps' law, namely the number of distinct visited forums to the number of visits grows in a power-law form with exponent being about 0.54; (iii) the probability distributions of time intervals and the number of visits taken to revisit the same academic forum both follow power-laws, indicating the existence of memory effect in academic forum activities. On the basis of these empirical results, we propose a dynamic model that incorporates the exploration, preferential return and memory effect, which can well reproduce the observed scaling laws.
5 pages, 7 figures and 1 table
References in corpus (15)
- Power-law distributions in empirical data
- Structure and tie strengths in mobile communication networks
- On Universality in Human Correspondence Activity
- Dynamical and bursty interactions in social networks
- Role of Activity in Human Dynamics
- Calling patterns in human communication dynamics
- Social network dynamics of face-to-face interactions
- Zipf's Law Leads to Heaps' Law: Analyzing Their Relation in Finite-Size Systems
- Impact of memory on human dynamics
- Human Activity in the Web
- Modeling Human Dynamics with Adaptive Interest
- Predicting human preferences using the block structure of complex social networks
- Scaling and memory in recurrence intervals of Internet traffic
- Scaling behavior of online human activity
- Promoting collective motion of self-propelled agents by distance-based influence