Integrating empirical statistics and theoretical models is a novel and promising way to study complex systems. This survey summarized recent progress on human dynamics, complex networks and information filtering, suggesting that to apply the perspectives and methods from statistical physics based on extensive empirical data and build effective dynamical models may solve some long-standing challenges, such as uncovering the hidden regularities of human behavior, revealing the rules governing the interactions between social individuals, characterizing the dynamical evolution of neural systems, digging out personalized tastes, predicting missing information, and so on.
|Number of pages||15|
|Journal||Journal of University of Shanghai for Science and Technology|
|Publication status||Published - Apr 2012|
Scopus Subject Areas
- Complex network
- Human behavior dynamics
- Information physics