Computational sociology. Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena.
Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.[1] In relevant literature, computational sociology is often related to the study of social complexity.[5] Social complexity concepts such as complex systems, non-linear interconnection among macro and micro process, and emergence, have entered the vocabulary of computational sociology.[6] A practical and well-known example is the construction of a computational model in the form of an "artificial society", by which researchers can analyze the structure of a social system.[2][7] History[edit]
AnooX - Social Networking based Search engine & News. Computational sociology. Creating a successful online strategy: The 5-step digitalroadmap process. Martin Zwilling recently noted in a Forbes review of “The Digital Dollar” that “The route to success is not a random walk.”
He further notes that, “From a strategic perspective, all the above should start with an overall digital roadmap, where you define your goals, outline the steps required, and articulate your success measurements.” This article outlines one proven method of creating an online strategy through the “digitalroadmap” process found in “The Digital Dollar: Sustainable Strategies for Online Strategies.”
Social Media Distractions Cost U.S. Economy $650 Billion [INFOGRAPHIC] TWITTER. Social trends and metrics. Social Media.