Cover art for podcast Knitting Networks / Tejiendo Redes

Knitting Networks / Tejiendo Redes

52 EpisodesProduced by Francisca Ortiz y Alejandro Espinosa-RadaWebsite

Here you will find conversations with people who works on network analysis. You will hear about the history of it, recommendations of literature and some of the latest methodological/theoretical advances of it. Podcasters:Francisca Ortiz Ruiz, Postdoctoral Researcher at Millennium Institute for Care… read more


36.Emmanuel Lazega

[Chapter in English / Capítulo en Inglés]

Emmanuel Lazega’s research contributes to the development of a neo-structural sociology that brings together organisational analysis and social network analysis to understand how collective action works. This approach observes, models, articulates, and compares the generic social processes of meso-level social life (e.g., particularistic solidarities and exclusions, socialisation and collective learning, social control and conflict management, regulation and institutionalisation) in order to better understand how contemporary “organisational society” functions at the meso level.

He has developed this approach at the intra- and inter-organisational levels, as well as at both levels simultaneously. For example, he studies forms of collective action between peers (particularly in the relational networks and infrastructures of collegial organisations) and their multi-level intersections with contemporary bureaucracy. This research is grounded in empirical fieldwork in organisations, markets, and institutions for lawyers, judges, researchers, priests, and sales representatives, among others. He also studies cooperation between competitors (i.e., joint and multi-level regulation of markets and business). This theoretical and analytic framework is used—among other ends—to study how the borders between private and public sectors shift, and how private actors are increasingly taking the place of public authorities in many areas of economic and social life.

This neo-structural approach is made possible by interdisciplinary collaborations with network statisticians, among others, and by creating models that allow for a robust and reliable analysis of complex data— for example, in the field of multi-level network dynamics.

This interview was done by Alejandro Espinosa-Rada.


La investigación realizada por Emmanuel Lazega contribuye al desarrollo del neo-estructuralismo sociológico combinando tanto el análisis organizacional como el análisis de redes sociales para entender cómo opera la acción colectiva. Esta perspectiva permite observar, modelar, articular, y comparar de forma los procesos sociales al nivel meso de la vida social (ejemplo: solidaridades particulares y exclusiones, socializaciones y aprendizaje colectivo, control social y conflictos administrativos, regulación e institucionalización) de tal forma de entender qué tan contemporáneo son las funciones que realizan las "organizaciones sociales" al nivel meso social.

Lazega ha desarrollado esta perspectiva considerando los niveles intra- e inter- organizacional, junto con considerar ambos niveles simultáneamente. Por ejemplo, ha estudiado formas colectivas de acción entre pares (particularmente considerando relaciones en redes e infraestructura de las organizaciones colegiadas) y sus intersecciones en multiniveles junto a la burocracia contemporánea. Esta investigación se encuentra anclada en investigaciones empíricas sobre organizaciones, mercados, e instituciones de abogados, jueces, investigadores, curas, y representantes de ventas, entre otros. De la misma forma, ha realizado estudios que consideran la cooperación entre competidores (i.e., regulación conjunta y de multinivel de mercados y negocios). Este marco teórico y analítico es utilizado – entre otros fines – para estudiar cómo los bordes entre sectores privados y públicos cambian, y cómo actores privados progresivamente reemplazan a las autoridades en muchas áreas de la economía y la vida social.

La perspectiva neo-estructuralista ha sido desarrollada principalmente a través de la colaboración con estadísticos de redes, entre otros, junto con crear modelos que permiten robustecer y utilizar análisis confiables sobre datos complejos – por ejemplo, en el campo de las redes dinámicas de multiniveles.

Esta entrevista fue realizada por Alejandro Espinosa-Rada.

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