Transformations in the Making: Actor-networks, Elite-control

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The main focus of this course is on modern visualization techniques applicable to spatial data such as scalar, vector and tensor fields. Enroll in one of the few business analytics programs in the state by getting your business degree at BGSU! Covers elements of probability theory; sampling theory; asymptotic approximations; decision-theory approach to statistical estimation focusing on regression, hypothesis testing; and maximum-likelihood methods.

Pages: 288

Publisher: Shaker Publishing B.V. (December 11, 2009)

ISBN: 9042303832

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The basic question these models address is pretty straightforward: Given a set of actors and data on their ideas, attitudes, and opinions, do people that share certain types of ties tend to have more similar attributes/preferences/attitudes, etc.? As it turns out, there are actually several different ways we can go about addressing this basic question. For example, we can do it using simulation-based methods (I’ve seen this more often in epidemiology and marketing research), where we take a network with certain structural characteristics, and plot how long it takes for ideas, behaviors, etc. to spread to certain percentages of nodes in the network, conditional on certain assumptions about the parameters of influence/infection and node “recovery” (see this previous post on SI/SIR/SIS-type influence models for a rough overview of some of these parameters.) Like most simulation-based methods, this is nice because it allows us to see the implications of different sorts of assumptions about the way influence happens INTRODUCTION TO REFERENCE download epub INTRODUCTION TO REFERENCE WORK, VOLUME.

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