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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.
Phenomenology within sociology, or phenomenological sociology, examines the concept of social reality (German: Lebenswelt or "Lifeworld") as a product of intersubjectivity. Phenomenology analyses social reality in order to explain the formation and nature of social institutions. [ 1 ]
Program Evaluation is a systematic method for collecting, analyzing, and using information to answer questions about projects, policies and programs, [118] particularly about their effectiveness and efficiency. In both the public and private sectors, stakeholders often want to know whether the programs they are funding, implementing, voting for ...
A social experiment is a method of psychological or sociological research that observes people's reactions to certain situations or events. The experiment depends on a particular social approach where the main source of information is the participants' point of view and knowledge.
The following outline is provided as an overview of and topical guide to the discipline of sociology: . Sociology – the study of society [1] using various methods of empirical investigation [2] and critical analysis [3] to understand human social activity, from the micro level of individual agency and interaction to the macro level of systems and social structure.
sociology of aging — sociology of architecture — sociology of art — sociology of the body — sociology of childhood — sociology of conflict — sociology of deviance — sociology of disaster — sociology of education — sociology of emotions — sociology of the family — sociology of fatherhood — sociology of film — sociology ...
Social simulation is a research field that applies computational methods to study issues in the social sciences.The issues explored include problems in computational law, psychology, [1] organizational behavior, [2] sociology, political science, economics, anthropology, geography, engineering, [2] archaeology and linguistics (Takahashi, Sallach & Rouchier 2007).
These ideas and methods were developed in collaboration with his former students François Lorraine, Ronald Breiger, and Scott Boorman. These three are among the more than 30 students who earned their doctorates under White in the period 1963-1986. [25] The theory and application of blockmodels has been set out in detail in a recent monograph. [26]