A Survey of Statistical Network Models
University of Toronto · Microsoft (United States) · +3 more institutions
Abstract
Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active “network community” and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. The growth of the…
Citation impact
- FWCI
- 29.90
- Percentile
- 100%
- References
- 355
Authors
4- AGAnna GoldenbergCorresponding
University of Toronto
- AXAlice X. Zheng
Microsoft (United States), Microsoft Research (United Kingdom)
- SEStephen E. Fienberg
Carnegie Mellon University
- EMEdoardo M. Airoldi
Center for Systems Biology
Topics & keywords
- Statistical survey
- Computer science
- Statistics
- Mathematics