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Journal of Social Structure

International Network for Social Network Analysis

EDITOR IN CHIEF : Prof. John Skvoretz

Number of Issues : volume open

Subject: Social Sciences

eISSN: 1529-1227

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License type: CC BY-NC 4.0
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OVERVIEW

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 social structure. It publishes empirical, theoretical and methodological articles.

JoSS publishes manuscripts that are focused on social structure-on the patterning of social linkages among actors. These actors could be comprised of different types or levels or analysis, such as animals, humans, artificial agents, groups or organizations. 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.

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.

All published articles and comments (including embedded data, graphics, algorithms and simulations) are permanently archived by the library at Carnegie Mellon University.

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.

EDITORIAL INFORMATION

SUBMIT A MANUSCRIPT

Manuscripts submitted for review should be sent to the editor in electronic form only (jskvoretz@usf.edu). Please include "JoSS Submission:" in the subject line. No paper submissions will be considered. All articles will be reviewed electronically, and correspondence with the authors will be via email.

Acceptable formats for submission include MSWord, WordPerfect, PDF, or HTML. Figures may be submitted in a variety of formats, including Excel, Powerpoint, JPEG, MPEG, TIFF, MAGE, VRML, and Java. However, not all of these formats are accessible to a general audience. In such cases where a format requires an uncommon program or plugin to read the figure, the authors will be asked to supply a set of figures in a format built in to most browsers to supplement the preferred originals (see Freeman's article, JoSS, Volume 1(1), Figures 30-32). Readers will be offered both sets of figures in the published version of the article in case their computer cannot read the preferred figure format. Authors will also be asked to supply any programs that are used to create a figure, such as an original Java program used to create an interactive or animated figure.

Figures may be submitted in a separate file. All figures should be in a format that is as lossless as possible. In addition, the published version of the paper will include a thumbnail for each figure (jpeg format preferred) that will be embedded in the article. Authors will be responsible for supplying these thumbnails.

Upon acceptance of a manuscript, Authors will be requested to sign Open Access Agreement prior to publication

ABSTRACTING & INDEXING

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