The network probability matrix describes the probability structure of a network based on the historical presence or absence of edges in a network. For example, individuals in a social network are not connected to other individuals with
uniform random probability. The probability structure is much more complex. Intuitively, there are some people whom a person will communicate with or be connected more closely than others. For this reason, real-world networks tend to have clusters or cliques of nodes that are more closely related than others (Albert and Barabasi, 2002, Carley
ear
An ear is the organ that enables hearing and, in mammals, body balance using the vestibular system. In mammals, the ear is usually described as having three parts—the outer ear, the middle ear and the inner ear. The outer ear consists of ...
Newmann 2003). This can be simulated by varying the probabilities that certain nodes will communicate. The network probability matrix was originally proposed by Ian McCulloh.
References
* McCulloh, I., Lospinoso, J. & Carley, K.M. (2007). Probability Mechanics in Communications Networks. In ''Proceedings of the 12th International Conference on Applied Mathematics'' of the World Science Engineering Academy and Society, Cairo, Egypt. 30–31 December 2007.
* "Understanding Network Science," (Archived article) https://wayback-beta.archive.org/web/20080830045705/http://zangani.com/blog/2007-1030-networkingscience
* ''Linked: The New Science of Networks'', A.-L. Barabási (Perseus Publishing, Cambridge (2002).
* ''Network Science'', The National Academies Press (2005)
External links
Center for Computational Analysis of Social and Organizational Systems (CASOS) at Carnegie Mellon UniversityU.S. Military Academy Network Science Center
Social statistics
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