By Dominguez S., Hollstein B. (eds.)
ISBN-10: 1107027926
ISBN-13: 9781107027923
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Additional info for Mixed Methods Social Networks Research: Design and Applications
Sample text
Other studies are concerned with the effects of personal networks, for example, when studying decision-making about higher education and the role of personal networks (Fuller et al. 2011). Using both survey and ethnographic data, Avenarius and Johnson (this volume) show how network structures play a role in the decision 20 Bettina Hollstein of Chinese peasants to take a dispute to court or seek the assistance of a traditional mediator. Bernardi et al. (this volume) use qualitative and quantitative data from interviews to reconstruct how personal networks influence the decision to start a family.
How to deal with changes in networks was one of the major trouble spots of network research in the past (cf. Borgatti 2009). In the meantime, sophisticated quantitative methods for describing and analyzing network change have been developed (cf. , this volume) . g. Hollstein 2002; Crossley 2009; Small 2009). Actor strategies can be one source of insights into network formation and change. However, since network dynamics always involve at least two actors, analyses of interaction and network practices are keys to understanding the dynamic side of network development.
The basic strategies of data analysis consist of descriptive measures, statistical methods, and path or causal models. More recently, we are also observing an increasing trend toward computer simulations. In network research, quantitative methods are geared toward mathematical descriptions and analyses of interactions, relations, and network structures. , Gluesing, Riopelle, and Danowski, this volume). More sophisticated analyses apply formal models and statistical procedures, such as block model analysis, exponential random graph modeling, or regression analysis (cf.
Mixed Methods Social Networks Research: Design and Applications by Dominguez S., Hollstein B. (eds.)
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