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

This paper presents three items. The first is a brief outline of structural balance oriented towards tracking the amount of balance (or imbalance) over time in signed networks. Often, the distribution of specific substructures within broader networks has great interest value. The second item is a brief outline of a procedure in Pajek for identifying fragments in networks. Identifying fragments (or patterns or motifs) in networks has general utility for social network analysis. The third item is the application of the notion of fragments to counting signed triples and signed 3-cycles in signed networks. Commands in Pajek are provided together with the use of Pajek project files for identifying fragments in general and signed fragments in particular. Our hope is that this will make an already available technique more widely recognized and used. Determining fragments need not be confined to signed networks although this was the primary application considered here.
</abstract>

Department of Sociology, University of Pittsburgh

Identifying Fragments in Networks for Structural Balance and Tracking the Levels of Balance Over Time

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

Departing from Roberto Michels’s classic analysis of oligarchy, we provide a structural analysis of the concept based on social network analysis. We define oligarchy as a social network that exhibits three structural properties: tight interconnections among a small group of prominent actors who form an “inner circle”; the organization of other actors in the network through the intermediation of this inner circle; and weak direct connections among the actors outside the inner circle. We treat oligarchy as a global property of social networks and offer an approach for measuring the oligarchical tendencies of any social network. Our main contribution is to operationalize this idea using a “rich club” approach. We demonstrate the efficacy of this approach by analyzing and comparing several urban networks: Sao Paulo urban infrastructure networks and Los Angeles and Chicago transportation policy networks.
</abstract>

Who Says Networks, Says Oligarchy? Oligarchies as “Rich Club” Networks

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

This article surveys laboratory experiments on social exchange networks. The method of laboratory experiments is prominent in this field. The various theoretical perspectives informing the experiments are grouped into three approaches: the first, dominated by network-exchange theory, is mainly concerned with power and structure, the second discusses social-psychological approaches and emphasizes behavioral and psychological dimensions such as reciprocity, emotions and cohesion, and the third is concerned with game-theoretic experiments embedded in network structures.
</abstract>

Sabine Neuhofer is a researcher in the Department of Economic Sociology

Ilona Reindl is a researcher in the Department of Economic Sociology

Bernhard Kittel is a professor in the Department of Economic Sociology

Social Exchange Networks: A Review of Experimental Studies

Network Influences on Behavior: A Summary of Tom Valente’s Keynote Address at Sunbelt XXXV: The Annual Meeting of the International Network for Social Network Analysis

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

The article describes datasets from network exchange experiments collected at the University of South Carolina Laboratory for Sociological Research during 1989-1998. These datasets record time stamped negotiations between subjects as they seek to complete exchanges with one another.
</abstract>

The South Carolina Network Exchange Datasets

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

The Madre Sana data set was compiled as a part of a community-engaged health promotion research study. The data set includes 150 actor variables plus multiplex edges between study participants (N=116 pregnant women) at two time points.
</abstract>

Department of Social Sciences & Health Policy

Department of Human and Organizational Development

The “Madre Sana” Data Set

AHEAD OF PRINT

Volume 44 (2024): Issue 1 (January 2024)

Volume 43 (2023): Issue 1 (January 2023)

Volume 42 (2022): Issue 1 (January 2022)

Volume 41 (2021): Issue 1 (January 2021)

Volume 40 (2020): Issue 1 (January 2020)

Volume 39 (2019): Issue 1 (January 2019)

Volume 38 (2018): Issue 1 (January 2018)

Volume 37 (2017): Issue 1-2 (January 2017)

Volume 36 (2016): Issue 1 (January 2016)

Connections

Connections publishes original empirical, theoretical, and methodological articles, as well as critical reviews dealing with applications of social network analysis. From volume 2018 the journal is published in a continous format.  The research spans many disciplines and domains including: Anthropology, Sociology, Psychology, Communication, Economics, Organizational Behavior, Knowledge Management, Marketing, Social Psychology, Mathematics, Public Health, Medicine, Computer Science, and Policy.  As an official journal of the International Network for Social Network Analysis, the emphasis of the publication is to reflect the ever-growing and continually expanding community of scholars using network analytic techniques. Connections also provides an outlet for sharing news about social network concepts and techniques and new tools for research.  Rejection rate: 60%  Open Access Policy  This journal provides immediate open access to its content under the Creative Commons CC BY 4.0 license on the principle that making research freely available to the public supports a greater global exchange of knowledge. Under the Creative Commons CC BY 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, even commercially) if the contribution was properly attributed and all of the changes indicated.  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. By examining the etiology and consequences of structural forms overall, of the location of entities within these structures, and of the formation and dynamics of ties that make up these structures, INSNA hopes to learn about the parts of behavior that are uniquely social.  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.