Ediciones

Revista y Edición

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Detalles de la revista
Formato
Revista
eISSN
1529-1227
Publicado por primera vez
31 Jan 2000
Periodo de publicación
1 tiempo por año
Idiomas
Inglés

Buscar

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

Detalles de la revista
Formato
Revista
eISSN
1529-1227
Publicado por primera vez
31 Jan 2000
Periodo de publicación
1 tiempo por año
Idiomas
Inglés

Buscar

6 Artículos

Review

Acceso abierto

Syndicate Women: Gender and Networks in Chicago Organized Crime

Publicado en línea: 21 Apr 2022
Páginas: 1 - 3

Resumen

Palabras clave

  • SNA
  • gender
  • organized crime
  • Chicago
Acceso abierto

Inferential Network Analysis

Publicado en línea: 02 Jun 2022
Páginas: 28 - 29

Resumen

Palabras clave

  • SNA
  • exponential random graph models
  • latent space models
  • network inference
Acceso abierto

Advances in Network Clustering and Blockmodeling

Publicado en línea: 31 Aug 2022
Páginas: 47 - 49

Resumen

Palabras clave

  • SNA
  • block models
  • clustering

Articles

Acceso abierto

A Network Analysis of Twitter's Crackdown on the QAnon Conversation

Publicado en línea: 16 May 2022
Páginas: 4 - 27

Resumen

Abstract

The QAnon conspiracy theory holds that former President Trump is fighting a ‘deep-state’ cabal of Satan-worshipping, cannibalistic pedophiles running a global child sex-trafficking ring. Conspirators include liberal Hollywood actors, Democratic politicians, financial elites, and even some religious leaders. Prominent politicians have embraced it, and the media increasingly covered it in the lead-up to the 2020 Presidential Election and beyond. Beginning on 4chan message boards in October 2017, QAnon narratives proliferated across popular social media platforms as individuals engaged in QAnon-related conversations on one platform shared links to ‘reputable’ content on others. In this paper, we draw on insights drawn from studies of diffusion and use social network analysis to analyze the networks generated by Twitter users from sharing external QAnon-related social media content via URLs during two key time frames: (1) the peak of QAnon Twitter activity in the Spring of 2020 and (2) the period following Twitter's crackdown on QAnon activities in July 2020. Our analysis reveals that the tweets and retweets of just a few actors accounted for most of the sharing of links to external social media sites, suggesting that other users saw them as reliable sources of information. It also shows that Twitter's crackdown impacted some aspects of the URL-sharing network. We conclude by briefly considering strategies for countering conspiracy theories and offering suggestions for future research.

Palabras clave

  • QAnon
  • Twitter
  • diffusion
  • conspiracy theories
  • social network analysis
Acceso abierto

An Analysis of Relations Among European Countries Based on UEFA European Football Championship

Publicado en línea: 14 Aug 2022
Páginas: 30 - 46

Resumen

Abstract

With the increasing globalization in the 21st century, football has become more of an industry than a sport that supports tremendous amount of money circulation. More players started to play in countries different from their original nationality. Some countries used this evolution process of football to improve the quality of their leagues. The clubs in these leagues recruited the best players from all around the world. In international football, nations are represented by their best players, and these players might come from a variety of different leagues. To observe the countries that host the best players of these nations, we analyze the trend for the nations represented in the European Football Championship. We construct social networks for the last eight tournaments from 1992 to 2020 and calculate network-level metrics for each. We find the most influential countries for each tournament and analyze the relationship between country influence and economic revenue of football in those countries. We use several clustering algorithms to pinpoint the communities in obtained social networks and discuss the relevance of our findings to cultural and historical events.

Palabras clave

  • social network analysis
  • UEFA European Championship
  • relations
  • football
  • soccer
6 Artículos

Review

Acceso abierto

Syndicate Women: Gender and Networks in Chicago Organized Crime

Publicado en línea: 21 Apr 2022
Páginas: 1 - 3

Resumen

Palabras clave

  • SNA
  • gender
  • organized crime
  • Chicago
Acceso abierto

Inferential Network Analysis

Publicado en línea: 02 Jun 2022
Páginas: 28 - 29

Resumen

Palabras clave

  • SNA
  • exponential random graph models
  • latent space models
  • network inference
Acceso abierto

Advances in Network Clustering and Blockmodeling

Publicado en línea: 31 Aug 2022
Páginas: 47 - 49

Resumen

Palabras clave

  • SNA
  • block models
  • clustering

Articles

Acceso abierto

A Network Analysis of Twitter's Crackdown on the QAnon Conversation

Publicado en línea: 16 May 2022
Páginas: 4 - 27

Resumen

Abstract

The QAnon conspiracy theory holds that former President Trump is fighting a ‘deep-state’ cabal of Satan-worshipping, cannibalistic pedophiles running a global child sex-trafficking ring. Conspirators include liberal Hollywood actors, Democratic politicians, financial elites, and even some religious leaders. Prominent politicians have embraced it, and the media increasingly covered it in the lead-up to the 2020 Presidential Election and beyond. Beginning on 4chan message boards in October 2017, QAnon narratives proliferated across popular social media platforms as individuals engaged in QAnon-related conversations on one platform shared links to ‘reputable’ content on others. In this paper, we draw on insights drawn from studies of diffusion and use social network analysis to analyze the networks generated by Twitter users from sharing external QAnon-related social media content via URLs during two key time frames: (1) the peak of QAnon Twitter activity in the Spring of 2020 and (2) the period following Twitter's crackdown on QAnon activities in July 2020. Our analysis reveals that the tweets and retweets of just a few actors accounted for most of the sharing of links to external social media sites, suggesting that other users saw them as reliable sources of information. It also shows that Twitter's crackdown impacted some aspects of the URL-sharing network. We conclude by briefly considering strategies for countering conspiracy theories and offering suggestions for future research.

Palabras clave

  • QAnon
  • Twitter
  • diffusion
  • conspiracy theories
  • social network analysis
Acceso abierto

An Analysis of Relations Among European Countries Based on UEFA European Football Championship

Publicado en línea: 14 Aug 2022
Páginas: 30 - 46

Resumen

Abstract

With the increasing globalization in the 21st century, football has become more of an industry than a sport that supports tremendous amount of money circulation. More players started to play in countries different from their original nationality. Some countries used this evolution process of football to improve the quality of their leagues. The clubs in these leagues recruited the best players from all around the world. In international football, nations are represented by their best players, and these players might come from a variety of different leagues. To observe the countries that host the best players of these nations, we analyze the trend for the nations represented in the European Football Championship. We construct social networks for the last eight tournaments from 1992 to 2020 and calculate network-level metrics for each. We find the most influential countries for each tournament and analyze the relationship between country influence and economic revenue of football in those countries. We use several clustering algorithms to pinpoint the communities in obtained social networks and discuss the relevance of our findings to cultural and historical events.

Palabras clave

  • social network analysis
  • UEFA European Championship
  • relations
  • football
  • soccer

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