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.
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.
Kate Coronges - Executive Director of the Network Science Institute (NetSI), Northeastern University, USA
Kayla de la Haye - Associate Professor of Preventive Medicine, University of Southern California, USA
Jana Diesner - Associate Professor at the School of Information Sciences (the iSchool), University of Illinois at Urbana-Champaign, USA
Patrick Doreian - Professor Emeritus, Department of Sociology, University of Pittsburgh, USA
Betina Hollstein - Professor of sociology at the SOCIUM - Research Center on Inequality and Social Policy at University of Bremen
Mark Lubell - Professor, Department of Environmental Science and Policy, University of California, Davis, USA
Alexandra Marin - Assistant Professor, Department of Sociology, University of Toronto, Canada
Liesbeth Mercken - Assistant Professor, Care and Public Health Research Institute, Department of Health Promotion, Maastricht University, The Netherlands
Susie Pak - Associate Professor, History, St. John´s University, USA
Juergen Pfeffer - Professor of Computational Social Science & Big Data Bavarian, School of Public Policy, Technical University of Munich, Germany
David Schaefer - UCI School of Social Sciences
Olivier Walther - Assistant Professor, University of Florida
Connections publishes original empirical, theoretical, tutorial, and methodological articles that use social network analysis. The journal seeks to publish significant work from any domain that is relevant to social network applications and methods. Review articles that critically review and synthesize a body of published research and commentaries or short papers in response to previous articles published in the journal are also welcome. As a new feature, we will now publish network datasets and instruments (which will be available on the website) and accompanied by a short article (not to exceed 2,500 words) describing the data. Authors who wish to submit a commentary, book review, network image or data set should first e-mail the editors with a brief description.
To publish in Connections, authors are not required to pay an article processing charge (APC).
Authors are required to submit manuscripts online using the manuscript management system available here: https://www.editorialmanager.com/connections.
Feedback from the editor and reviewers will be sent to the corresponding author within three months after receipt. Revised or resubmitted manuscripts should include a detailed explanation of how the author has dealt with each of the reviewer's and Editor's comments. For questions or concerns about the submission process, authors should contact the editor at firstname.lastname@example.org.
Manuscripts must be in MS Word or WordPerfect format and should not exceed 40 pages including tables, figures and references. Manuscripts should be arranged in the following order: title page, acknowledgments, abstract, text, references, appendices, and figure legends. Format and style of manuscript and references should conform to the conventions specified in the latest edition of Publication Manual of the American Psychological Association. Include author's contact information in the title page. Abstracts should be limited to 250 words. Please embed all images, tables and figures in the document. If you have a large figure, you may also send it as a separate file. A figure and its legend should be sufficiently informative that the results can be understood without reference to the text.
Upon acceptance of a manuscript, Authors will be requested to sign Open Access Agreement prior to publication.
All of the articles will be blindly reviewed.
Data Exchange Network
The new DEN feature is to meet the goal of providing citable references for datasets and instruments. Submissions must include an electronic version of the network dataset and/or instrument and a short article (not to exceed 2,500 words) describing the data being submitted. These articles need not be as detailed as a full codebook, but should provide enough information that other researchers may appropriately use the data or measures. Additionally, the article should contain any information about the context from which the data were collected that may be relevant to others for appropriately using the data. All materials submitted for the DEN will be peer-reviewed to ensure the utility and usability of the data/instrument. Data should be submitted in the most generic format possible (preferably in Excel). Accepted DEN contributions must be described fully and clearly and any threats to validity should be made transparent.
This journal is also archived by Portico - digital long-term preservation service of scholarly records.