Network Science

 Network Science:

Foundation, Theory, Analysis,  and Application

Introduction

Network science is an emerging field of research based on social network analysis, complex network study. It has widely influenced the trend of computational science, including both social science and natural science. This is the field I focus on, and I will demonstrate how network analysis deepens our understanding of communication and beyond, especially in the aspect of online human communication dynamics.

Outline

Chapter1: Origin, Chapter2: Foundation, Chapter3: Network Structure, Chapter4: Network Formation, Chapter5: Network Flow (Epidemic models). The syllabus will come soon.

Readings

Books

  • T.G. Lewis, Network science: theory and applications, Wiley, 2009.
  • 汪小帆, 李翔, & 陈关荣. (2006). 复杂网络理论及其应用. : 清华大学出版社.
  • Barabasi, A. L., GANN, D., & SALTER, A. (2003). Linked: how everything is connected to everything else and what it means for business, science, and everyday life: Plume.
  • Huberman, B. A. (2003). The laws of the Web: Patterns in the ecology of information: The MIT Press.
  • Kolaczyk, E. D. (2009). Statistical analysis of network data: methods and models: Springer Verlag.
  • Liu, B. (2007). Web data mining: exploring hyperlinks, contents, and usage data: Springer Verlag.
  • Russell, M. A. (2011). Mining the social web: O’Reilly Media, Inc.
  • Faust, K., & Wasserman, S. (1994). Social network analysis: Methods and applications: Cambridge University Press New York.
  • De Nooy, W., Mrvar, A., & Batagelj, V. (2011). Exploratory social network analysis with Pajek (Vol. 34): Cambridge Univ Pr.
  • Robert A. Hanneman & Mark Riddle. Introduction to social network methods. Online Textbook http://www.faculty.ucr.edu/~hanneman/nettext/
  • Valente, T. W. (1995). Network Models of the Diffusion of Innovations (Quantitative Methods in Communication Subseries). Hampton Press (NJ)