Aims and scope
Computational Social Networks showcases refereed papers dealing with all mathematical, computational and applied aspects of social computing. The objective of this journal is to advance and promote the theoretical foundation, mathematical aspects, and applications of social computing. Submissions are welcome which focus on common principles, algorithms and tools that govern network structures/topologies, network functionalities, security and privacy, network behaviors, information diffusions and influence, social recommendation systems which are applicable to all types of social networks and social media.
Topics include (but are not limited to) the following:
- Social network design and architecture
- Mathematical modeling and analysis
- Real-world complex networks
- Information retrieval in social contexts, political analysts
- Network structure analysis
- Network dynamics optimization
- Complex network robustness and vulnerability
- Information diffusion models and analysis
- Security and privacy
- Searching in complex networks
- Efficient algorithms
- Network behaviors
- Trust and reputation
- Social Influence
- Social Recommendation
- Social media analysis
- Big data analysis on online social networks
This journal publishes rigorously refereed papers dealing with all mathematical, computational and applied aspects of social computing. The journal also includes reviews of appropriate books as special issues on hot topics.
Why publish your article in Computational Social Networks?
Computational Social Networks's open access policy allows maximum visibility of articles published in the journal as they are available to a wide, global audience.
Speed of publication
Computational Social Networks offers a fast publication schedule whilst maintaining rigorous peer review; all articles must be submitted online, and peer review is managed fully electronically (articles are distributed in PDF form, which is automatically generated from the submitted files). Articles will be published with their final citation after acceptance, in both fully browsable web form, and as a formatted PDF; the article will then be available through Computational Social Networks and SpringerOpen.
Online publication in Computational Social Networks gives you the opportunity to publish large datasets, large numbers of color illustrations and moving pictures, to display data in a form that can be read directly by other software packages so as to allow readers to manipulate the data for themselves, and to create all relevant links (for example, to PubMed, to sequence and other databases, and to other articles).
Promotion and press coverage
Articles published in Computational Social Networks are included in article alerts and regular email updates.
In addition, articles published in Computational Social Networks may be promoted by press releases to the general or scientific press. These activities increase the exposure and number of accesses for articles published in Computational Social Networks.
Authors of articles published in Computational Social Networks retain the copyright of their articles and are free to reproduce and disseminate their work (for further details, see the copyright and license agreement).
For further information about the advantages of publishing in a journal from SpringerOpen, please click here.
All articles published by Computational Social Networks are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Further information about open access can be found here.
As authors of articles published in Computational Social Networks you are the copyright holders of your article and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate your article, according to the SpringerOpen copyright and license agreement.
For those of you who are US government employees or are prevented from being copyright holders for similar reasons, SpringerOpen can accommodate non-standard copyright lines. Please contact us if further information is needed.
Open access publishing is not without costs. Computational Social Networks therefore levies an article-processing charge of £730.00/$1140.00/€930.00 for each article accepted for publication.
If the corresponding author's institution participates in our open access membership program, some or all of the publication cost may be covered (more details available on the membership page). We routinely waive charges for authors from low-income countries. For other countries, article-processing charge waivers or discounts are granted on a case-by-case basis to authors with insufficient funds. Authors can request a waiver or discount during the submission process. For further details, see our article-processing charge page.
SpringerOpen provides a free open access funding support service to help authors discover and apply for article processing charge funding. Visit our OA funding and policy support page to view our list of research funders and institutions that provide funding for APCs, and to learn more about our email support service.
The full text of all articles is deposited in digital archives around the world to guarantee long-term digital preservation. You can also access all articles published by SpringerOpen on SpringerLink.
We are working closely with relevant indexing services including PubMed Central and Web of Science (Clarivate Analytics) to ensure that articles published in Computational Social Networks will be available in their databases when appropriate.
Computational Social Networks operates a single-blind peer-review system, where the reviewers are aware of the names and affiliations of the authors, but the reviewer reports provided to authors are anonymous.
The benefit of single-blind peer review is that it is the traditional model of peer review that many reviewers are comfortable with, and it facilitates a dispassionate critique of a manuscript.
Submitted manuscripts will generally be reviewed by two or more experts who will be asked to evaluate whether the manuscript is scientifically sound and coherent, whether it duplicates already published work, and whether or not the manuscript is sufficiently clear for publication. The Editors will reach a decision based on these reports and, where necessary, they will consult with members of the Editorial Board.
All manuscripts submitted to Computational Social Networks should adhere to SpringerOpen's editorial policies.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Citing articles in Computational Social Networks
Articles in Computational Social Networks should be cited in the same way as articles in a traditional journal. Because articles are not printed, they do not have page numbers; instead, they are given a unique article number.
Article citations follow this format:
Authors: Title. Comput Soc Netw [year], [volume number]:[article number].
e.g. Roberts LD, Hassall DG, Winegar DA, Haselden JN, Nicholls AW, Griffin JL: Increased hepatic oxidative metabolism distinguishes the action of Peroxisome Proliferator-Activated Receptor delta from Peroxisome Proliferator-Activated Receptor gamma in the Ob/Ob mouse. Comput Soc Netw 2009, 1:115.
refers to article 115 from Volume 1 of the journal.
Appeals and complaints
If you wish to appeal a rejection or make a complaint you should, in the first instance, contact the Editor who will provide details of the journal's complaints procedure.