Manuscripts selected for publication are done so based on a peer-review process. The journal is edited and published by Editor, Dr. Dimitris Christopoulos ( and Managing Editor, Kathryn Coronges, (Assitant Professor at US Military Academy). Editorial headquarters are located at USC's Institute of Prevention Research, 1000 Fremont Ave., Unit #8, Building A, Room 5133, Alhambra, CA 91803. Tel: (626) 457-6678; fax: (626) 457-6699. Email or for questions or change in address. Published articles are protected by both United States Copyright Law and International Treaty provisions. All rights are reserved. (ISSN 0226-1776)

Online Issues

All issues of Connections can be found on our Archive page.


CONNECTIONS publishes original empirical, theoretical, and methodological articles, as well as critical reviews dealing with applications of social network analysis. 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 the 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.


CONNECTIONS welcomes short articles, data, software, course materials, news and advertisements dealing with network analysis. Articles are peer-reviewed and will be edited for content and style. 

Advantages to Publishing in Connections

Hardcopy circulation of CONNECTIONS is over 1,100. The web versions of articles in CONNECTIONS receive a lot of attention: articles in recent issues were viewed more than 34,000 times in 2005; more than 45,000 times in 2006. As an interdisciplinary journal, all articles are peer reviewed by experts in SNA methodology as well as subject area experts.

Instructions to Authors

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.

Submitting Manuscripts

Authors are required to submit manuscripts online to the editor, Dr. Dimitris Christopoulos at Expect a notice of receipt of your manuscript via email within one week. Feedback from the editor and reviewers will be sent to the corresponding author within six 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.

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.

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.


The standard subscription fee is US$50 per volume ($35 for students, $60 for institutions). Subscribing to the current volume is synonymous with obtaining current membership in INSNA. Register on this site as a Full Member or Student Member and you will automatically be subscribed to CONNECTIONS.


Please send news about yourself, other networkers, or networks in the media to Barry Wellman at the University of Toronto.

Abstracts and Book Reviews

Abstracts and book reviews that you would like to bring to the attention to other networkers should be sent to CONNECTIONS at the addresses above.


Connections is protected by both United States Copyright Law and International Treaty provisions. All rights are reserved. It is CONNECTIONS policy to automatically grant authors the right to republish articles in other journals.

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Our Mission

INSNA 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 in 1977.


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