Foundation, Theory, Analysis, and Application
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.
Chapter1: Origin, Chapter2: Foundation, Chapter3: Network Structure, Chapter4: Network Formation, Chapter5: Network Flow (Epidemic models). The syllabus will come soon.
- T.G. Lewis, Network science: theory and applications, Wiley, 2009.
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- 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.
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- 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)
- The Structure of Information Networks, by Jon Kleinberg
- Networks: Theory and Application, by Lada Adamic
- Structure and Dynamics of Networked Information, by David Kempe
- Information Networks, by Panayiotis Tsaparas
- Networks by George Bezerra, Paul Hooper, and Wenyun Zuo ( University of New Mexico)
- Network Science: Methods and Applications by Constantine Dovrolis (Georgia Tech)
- Networks and Its Applications by Cesar A. Hidago (MIT)
- Network by Daron Acemoglu (MIT Economics)