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does anybody know anything about brownian motion applied to social network analysis?

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does anybody know anything about brownian motion applied to social network analysis?

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This was selected as Best Answer Assuming a social network is a complex set of relationships between members of a social system – a.k.a. nodes and arcs – you need: (1) A set of inputs – the variables are you going to feed the model – presumably you want to test something and use a model to approximate real-life. Or invent a model that better approximates real-life for a given set of inputs over some range of behavior. (2) A set of outputs – specific aspects or behavior of a social network that are you interested in modeling, simulating, analyzing, etc. The keyword here is behavior. Most people get in trouble here because they want to “see” the global effects and postulate from those effects. Modeling doesn’t work that way unless global refers to the specific output variables that are influenced by the input variables. (3) A set of assumptions – every model needs two sets of variables that are based on some set of assumptions. These are the fixed variables that exist inside the model –

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