Qual Quant (2011) 45:985–987 DOI 10.1007/s11135-011-9483-4 Editorial: Applied and methodological issues in the analysis of network data Maria Rosaria D’Esposito · Susanna Zaccarin Published online: 2 June 2011 © Springer Science+Business Media B.V. 2011 The Social network perspective has grown in popularity because it enables a very natural approach to model relationships among interacting units. The relationships linking units may be of many sorts: economic, political, interactional or affective to name just a few. Social network analysis encompasses theories, methods and applications that are expressed in terms of relational concepts or processes (Wasserman and Faust 1994; Scott 2000). The large interest in social networks stems from the theoretical research questions and the challenging methodological problems associated with the collection and analysis of social network data. Conventional data focuses on units or actors and their attributes,network data focus on actors and relations. This difference in emphasis motivates the choices that a researcher has to make about research design, sampling strategies, measurement, and analysis of resulting data. Progress in the statistical analysis of social networks has been impressive in the last two decades, with increasing attention devoted to network modelling and to longitudi- nal network dynamics (Snijders et al. 2006; Kolaczyk
Quality & Quantity – Springer Journals
Published: Jun 2, 2011
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