Multilevel Network Analysis for the Social Sciences pp 173-209

Part of the Methodos Series book series (METH, volume 12) | Cite as

Role Sets and Division of Work at Two Levels of Collective Agency: The Case of Blockmodeling a Multilevel (Inter-individual and Inter-organizational) Network

Chapter

Abstract

The chapter presents a blockmodeling analysis of multilevel (inter-individual and inter-organizational) networks. Several approaches are presented and used to blockmodel such networks. Each blockmodel represents a system of roles (White HC, Boorman SA, Breiger RL, Am J Sociol 81:730–780, 1976) and therefore a form of division of work that is likely to change over time in fields of organized collective action. Using a case study, we show that while the systems of roles are quite similar at both levels (core-periphery-like structures with bridging cores interpreted in terms of division of work between actors’ and organizations’ specialties, location, status, etc.), the roles are performed by units with different characteristics at different levels. The added value of this true multilevel analysis is to show how groups at different levels are connected. In the empirical case analyzed in the chapter, the division of work at the level of individuals and the division of work at the level of laboratories can complement and strengthen each other for some segments of the population, while this reinforcement does not work for other segments. For the same roles, the mix of specialties at one level is different from the mix of specialties at the other level, notably because the two levels do not manage the same resources. Thus, this analysis tracks the meeting of top-down and bottom-up pressures towards structural alignment between levels.

Keywords

Multilevel networks Multilevel analysis Generalized blockmodeling Role sets Division of work 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Faculty of Social SciencesUniversity of LjubljanaLjubljanaSlovenia
  2. 2.CSO-CNRSInstitut d’Etudes Politiques de Paris, SPCParisFrance

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