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.
Rejection rate: 60%
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.
Kate Coronges - Executive Director of the Network Science Institute (NetSI), Northeastern University, USA
Bruce Cronin - Professor of Economic Sociology, Business School, University of Greenwich, UK
Kayla de la Haye - Assistant Professor of Preventive Medicine, University of Southern California, USA
Jana Diesner - Assistant Professor at the School of Information Sciences (the iSchool), University of Illinois at Urbana-Champaign, USA
Cecile Emery - Professor at Department of Management London School of Economics and Political Science, UK
Nick Harrigan - Assistant Professor of Sociology, Singapore Management University, Singapore
Betina Hollstein - Professor at Department of Life Course, Life Course Policy, and Social Integration, University of Bremen, Germany
Karin Ingold - Professor at Department of Policy Analysis and Environmental Governance (PEGO), University of Bern, Switzerland
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
Ian McCulloh - Senior Scientist at the Applied Physics Lab, Johns Hopkins University, USA
Susie Pak - Associate Professor, History, St. John´s University, USA
Elena Pavan - Assistant Professor, Institute of Humanities and Social Sciences, Scuola Normale Superiore, Italy
Juergen Pfeffer - Professor of Computational Social Science & Big Data Bavarian, School of Public Policy, Technical University of Munich, Germany
Kerstin Sailer - Faculty Member, Bartlett School of Architecture, Building, Environmental Design & Planning, University College London, UK
David Schaefer - Professor of Political Philosophy, Political Science Department, College of the Holy Cross, USA
Christophe Sohn - Researcher at the Luxembourg Institute of Socio-Economic Research (LISER), Luxembourg
Olivier Walther - Associate Professor in Political Science, University of Southern Denmark, Denmark
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.
Authors are required to submit manuscripts online to the editor, Dr. Eric Quintane at email@example.com. 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 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.
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.
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.