Rivista e Edizione

Volume 23 (2022): Edizione 1 (March 2022)

Volume 22 (2021): Edizione 1 (September 2021)

Volume 21 (2020): Edizione 2-2 (January 2020)

Volume 21 (2020): Edizione 2-1 (January 2020)

Volume 21 (2020): Edizione 2 (January 2020)

Volume 21 (2020): Edizione 2-3 (January 2020)

Volume 21 (2020): Edizione 1 (January 2020)

Volume 20 (2019): Edizione 4 (January 2019)

Volume 20 (2019): Edizione 3 (January 2019)

Volume 20 (2019): Edizione 2 (January 2019)

Volume 20 (2019): Edizione 1 (January 2019)

Volume 19 (2018): Edizione 1 (January 2018)

Volume 18 (2017): Edizione 1 (January 2017)

Volume 17 (2016): Edizione 1 (January 2016)

Volume 16 (2015): Edizione 1 (January 2015)

Volume 15 (2014): Edizione 1 (January 2014)

Volume 14 (2013): Edizione 1 (January 2013)

Volume 13 (2012): Edizione 1 (January 2012)

Volume 12 (2011): Edizione 1 (January 2011)

Volume 11 (2010): Edizione 1 (January 2010)

Volume 10 (2009): Edizione 1 (January 2009)

Dettagli della rivista
Formato
Rivista
eISSN
1529-1227
Pubblicato per la prima volta
31 Jan 2000
Periodo di pubblicazione
1 volta all'anno
Lingue
Inglese

Cerca

Volume 17 (2016): Edizione 1 (January 2016)

Dettagli della rivista
Formato
Rivista
eISSN
1529-1227
Pubblicato per la prima volta
31 Jan 2000
Periodo di pubblicazione
1 volta all'anno
Lingue
Inglese

Cerca

1 Articoli
Accesso libero

If Parsons had Pajek: The Relevance of Midcentury Structural-Functionalism to Dynamic Network Analysis*

Pubblicato online: 13 Aug 2019
Pagine: 1 - 29

Astratto

Abstract

Social network analysis has been one of the most influential scientific revolutions of the past century. Its success has been due, in part, to its methodological sophistication and the emphasis it places on identifying and clearly depicting features of social structure. As such, social network analysis is often viewed in stark contrast to the structuralist paradigm that dominated the social sciences prior to its rise – structural–functionalism - in the mid-20th century. In this paper, we highlight important connections that exist between the key assumptions of social network analysis and the key tenets of some of the most influential structural-functional theories – especially those of Robert K. Merton and Talcott Parsons and their collaborators and followers. We reveal a substantial affinity between some of their most influential ideas and contemporary analysis of social network dynamics, in particular, and several ways in which their work could inform promising advances in this line of research. Our ultimate goal is to highlight the prospect of using these theories to guide future analyses of the dynamics of large social systems and the sequences of real-time action that compose them.

1 Articoli
Accesso libero

If Parsons had Pajek: The Relevance of Midcentury Structural-Functionalism to Dynamic Network Analysis*

Pubblicato online: 13 Aug 2019
Pagine: 1 - 29

Astratto

Abstract

Social network analysis has been one of the most influential scientific revolutions of the past century. Its success has been due, in part, to its methodological sophistication and the emphasis it places on identifying and clearly depicting features of social structure. As such, social network analysis is often viewed in stark contrast to the structuralist paradigm that dominated the social sciences prior to its rise – structural–functionalism - in the mid-20th century. In this paper, we highlight important connections that exist between the key assumptions of social network analysis and the key tenets of some of the most influential structural-functional theories – especially those of Robert K. Merton and Talcott Parsons and their collaborators and followers. We reveal a substantial affinity between some of their most influential ideas and contemporary analysis of social network dynamics, in particular, and several ways in which their work could inform promising advances in this line of research. Our ultimate goal is to highlight the prospect of using these theories to guide future analyses of the dynamics of large social systems and the sequences of real-time action that compose them.

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