Structure from interaction events. Issue 2 (25th November 2015)

• Record Type: Journal Article
• Authors: de Nooy, Wouter
• Is Part Of: Big data & society. Volume 2:Issue 2(2015)
• Publication Date: 2015-11-25
• Subjects: Network analysis -- regression models -- relational events -- agency -- sociality; Big data -- Social aspects -- Periodicals; Social sciences -- Research -- Data processing -- Periodicals; Social sciences -- Research -- Methodology -- Periodicals; Data mining -- Periodicals; 300.28557
• DOI: 10.1177/2053951715603732
• Languages: English
• ISSNs: 2053-9517

Abstract

In this contribution to the colloquium, I argue why and how I lost interest in the overall structure of social networks even though Big Data techniques are increasingly simplifying the collection, organisation, and analysis of ever larger networks. The challenge that Big Data techniques pose to the social scientist, I think, is of a different nature. Big Data on social actors mainly record events, e.g. interactions between human beings that happen at a point in time. In contrast, social network analysts tend to think in terms of social relations that exist over a timespan. The challenge, then, is to rethink our conceptions and models of social relations and social structure. I conceptualize social structure and social relations as forces. I propose modelling these forces with regression models for longitudinal interaction data.