Zeitschriften und Ausgaben

Volumen 23 (2022): Heft 1 (March 2022)

Volumen 22 (2021): Heft 1 (September 2021)

Volumen 21 (2020): Heft 2-2 (January 2020)

Volumen 21 (2020): Heft 2-1 (January 2020)

Volumen 21 (2020): Heft 2 (January 2020)

Volumen 21 (2020): Heft 2-3 (January 2020)

Volumen 21 (2020): Heft 1 (January 2020)

Volumen 20 (2019): Heft 4 (January 2019)

Volumen 20 (2019): Heft 3 (January 2019)

Volumen 20 (2019): Heft 2 (January 2019)

Volumen 20 (2019): Heft 1 (January 2019)

Volumen 19 (2018): Heft 1 (January 2018)

Volumen 18 (2017): Heft 1 (January 2017)

Volumen 17 (2016): Heft 1 (January 2016)

Volumen 16 (2015): Heft 1 (January 2015)

Volumen 15 (2014): Heft 1 (January 2014)

Volumen 14 (2013): Heft 1 (January 2013)

Volumen 13 (2012): Heft 1 (January 2012)

Volumen 12 (2011): Heft 1 (January 2011)

Volumen 11 (2010): Heft 1 (January 2010)

Volumen 10 (2009): Heft 1 (January 2009)

Zeitschriftendaten
Format
Zeitschrift
eISSN
1529-1227
Erstveröffentlichung
31 Jan 2000
Erscheinungsweise
1 Hefte pro Jahr
Sprachen
Englisch

Suche

Volumen 17 (2016): Heft 1 (January 2016)

Zeitschriftendaten
Format
Zeitschrift
eISSN
1529-1227
Erstveröffentlichung
31 Jan 2000
Erscheinungsweise
1 Hefte pro Jahr
Sprachen
Englisch

Suche

1 Artikel
Uneingeschränkter Zugang

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

Online veröffentlicht: 13 Aug 2019
Seitenbereich: 1 - 29

Zusammenfassung

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 Artikel
Uneingeschränkter Zugang

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

Online veröffentlicht: 13 Aug 2019
Seitenbereich: 1 - 29

Zusammenfassung

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.

Planen Sie Ihre Fernkonferenz mit Scienceendo