- Category
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Course Syllabus
- Name
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Complex Networks, Gunes
- Image
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- Description
- This course covers theory and modeling of real-world networks such as computer, social, and biological networks where the underlying topology is a dynamically growing complex graph.
Many phenomena in nature can be modeled as a network and studied using network science. Researchers from many areas including biology, computer science, engineering, epidemiology, mathematics, physics, and sociology have been studying complex networks of their field.
Scale-free networks and small-world networks are well known examples of complex networks where power-law degree distribution and high clustering are their respective characteristic feature. These networks have been identified in many fundamentally different systems. Complex networks display non-trivial topological features that require an in depth study.
- Institution
- University of Nevada, Reno
- Author
- Mehmet Gunes
- Topics
- Networks
- URL
- http://www.cse.unr.edu/~mgunes/cs765/
