Syndicate Women: Gender and Networks in Chicago Organized Crime

Inferential Network Analysis

Advances in Network Clustering and Blockmodeling

Social Networks of Meaning and Communication

<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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

<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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

AHEAD OF PRINT

Volume 25 (2024): Issue 1 (January 2024)

Volume 24 (2023): Issue 1 (April 2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Journal of Social Structure

The Journal of Social Structure (JoSS) is an electronic journal of the International Network for Social Network Analysis (INSNA). It is designed to facilitate timely dissemination of state-of-the-art results in the interdisciplinary research area of the network representation of social structure. It publishes empirical, theoretical and methodological articles focused on social networks and their analysis.  JoSS is especially interested in manuscripts that are focused on social structure in network terms, that is, in terms of the patterning of social linkages among actors. These actors could be comprised of different types or levels of analysis, such as animals, humans, artificial agents, groups or organizations.  Articles are accepted only after peer review. Comments, rejoinders and extensions on already published articles will be peer-reviewed and if accepted will be attached via a hyperlink to the previously published piece.   Open Access Policy  This journal provides immediate open access to its content under the Creative Commons CC BY-NC 4.0 license on the principle that making research freely available to the public supports a greater global exchange of knowledge. Under the CC BY-NC 4.0 license users are free to share (copy and redistribute the material in any medium or format) and adapt the work (remix, transform, and build upon the material for any purpose) if the contribution was properly attributed and and used for non-commercial purposes.  ABOUT SOCIETY  International Network for Social Network Analysis is the professional association for researchers interested in social network analysis. The association is a non-profit organization incorporated in the state of Delaware and founded by Barry Wellman in 1977. INSNA was founded on the premise that the behavior and lives of social entities are affected by their position in the overall social structure. Network analysts believe that how an individual lives depends in large part on how that individual is tied into the larger web of social connections. Many believe, moreover, that the success or failure of societies and organizations often depends on the patterning of their internal structure. Social network analysis has found important applications in organizational behavior, inter-organizational relations, the spread of contagious diseases, mental health, social support, the diffusion of information and animal social organization. Today it has become an international effort with its own professional organizations, textbooks, journals, research centers, training centers and computer programs designed specifically to facilitate the analysis of social network structural data.   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 

Journal of Social Structure

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

Review

Syndicate Women: Gender and Networks in Chicago Organized Crime

Inferential Network Analysis

Advances in Network Clustering and Blockmodeling

Social Networks of Meaning and Communication

Articles

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

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

Wyszukiwanie

Wszystkie tomy i zeszyty w tym czasopiśmie