About PCI Network Science

What is PCI Network Science​?

PCI Network Science was launched in October 2020. It is an interdisciplinary community of several researchers (called the recommenders and playing the role of associate editors) who peer-review and recommend your unpublished preprints to make them complete, reliable, and citable articles. The scope of PCI Network Science encompasses all aspects of network science, theoretical as well as applied approaches.
 
Evaluation and recommendation by PCI Network Science are free of charge. When recommenders decide to recommend an article, they write a recommendation text that is published along with all the editorial correspondence (reviews, recommender's decisions, authors’ replies) by PCI Network Science. The article itself is not published by PCI Network Science; it remains on the preprint server where it was posted by the authors.

PCI Network Science is a community of the parent project Peer Community In, an original idea of Denis Bourguet, Benoit Facon, and Thomas Guillemaud.

PCI Network Science is not designed to be a free peer reviewing service for authors aiming to improve their articles before submission to a journal, although, of course, it remains possible to submit a recommended preprint to a traditional journal.

  • PCI Network Science is stimulating: it recommends remarkable articles.
  • PCI Network Science is free: there are no fees associated with the evaluation process, and no charge for access to the comments and recommendations. The website is freely accessible.
  • PCI Network Science is transparent: reviews and recommendations (for unpublished articles) and recommendations (for published articles) are freely available for consultation. Recommendations are signed by the recommenders. Reviews may also be signed if the reviewers agree to do so
  • PCI Network Science is not exclusive: an article may be recommended by different Peer Communities in X (a feature of particular interest for articles relating to multidisciplinary studies) and may even be published in a traditional journal (although this is not the goal of PCI Network Science).​


Managing Board of PCI Network Science​

 
Remy Cazabet (University of Lyon 1, France), representative of PCI Network Science
 
Christopher Blöcker​ (Julius-Maximilians-Universität Würzburg, Germany)
Norbert Hounkonnou (University of Abomey-Calavi, Benin)
Alec Kirkley (Univesity of Hong Kong, Hong Kong)
Matthieu Latapy (CNRS, Sorbonne Université, France)
Brenda McCowan (University of California, Davis, USA)
Giulio Rossetti (University of Pisa, CNR, Italy)
 
 
To contact the Managing Board, please send a message to contact@networksci.peercommunityin.org

Editorial policy​

Scope​​​

PCI Network Science covers both theoretical and applied research related to complex network analysis and network science. A non-exhaustive list of topics relevant to PCI Network Science includes:

  • Applications of network science (e.g., on social networks, technological networks, historical networks, ecological networks, biological networks, animal networks, economic networks, infrastructure networks, transportation networks, etc.)
  • Dynamics on networks
  • Epidemiology on networks
  • Higher-order networks
  • Machine learning on Networks (e.g., link prediction, Graph Neural Networks, Network embedding, etc.)
  • Multilayer/Multislice networks
  • Network inference
  • Network models
  • Network motifs
  • Network resilience and robustness
  • Online social network analysis
  • Spatial networks
  • Statistical inference of networks
  • Temporal/Dynamic networks
The preprints submitted to PCI Network Science may describe empirical or theoretical studies and be based on observations from experiments or nature, or previously acquired data. They may also report the results of verbal, computer, or mathematical models. Studies of methodologies are also appreciated. Perspectives, reviews and opinions and comments on previously published articles are also welcome.   

​PCI Network Science recommends only preprints of high scientific quality that are methodologically and ethically sound. To this end, PCI Network Science: 

  • Requires data, computer codes and mathematical and statistical analysis scripts to be made available to reviewers and recommenders at the time of submission and to readers after recommendation. 
  • Welcomes reproductions of studies
  • Welcomes preprint submissions based on preregistrations (whether or not reviewed).
  • Welcomes preprints reporting negative results, provided that the questions addressed and the methodology are sound. 
  • Does not accept submissions of preprints presenting financial conflicts of interest. Other conflicts of interest must be minimal and declared. 
  • Ensures that, as far as possible, the recommenders and referees have no conflict of interest with the content or authors of the study being evaluated. 

PCI Network Science does not guarantee the evaluation or recommendation of all submitted preprints. Only preprints considered interesting by at least one competent recommender (equivalent to an associate editor in a classical journal) will be peer-reviewed. The interest of the preprint, as determined by the recommender, can relate to its context, the scientific question addressed, the methodology, or the results. PCI Network Science has a large number of recommenders, ensuring a considerable diversity of interests. The recommendations published by PCI Network Science are designed to draw the attention of the research community to the qualities of the article, including the subjective reasons for the recommender’s interest in it.​

Ethics​

Peer Community In is a member of and subscribes to the principles of the Committee on Publication Ethics (COPE). In addition:

  • Financial conflicts of interest are forbidden, see the PCI code of conduct.
  • Authors should declare any potential non-financial conflict of interest.

Complaints and Integrity Policy and Procedure

Complaints and Integrity policy and procedure are described in the versioned document found at https://osf.io/erc6x. The version applicable to a complaint is the latest version of the document at the date of the complaint.


Inclusiveness and equity

PCI is attentive to equity and inclusion at all steps of the process of scientific article evaluation. PCI focuses on bringing more people underrepresented in academia among authors submitting to PCI, and reviewers, recommenders and Managing Board members working for PCI. Underrepresentation is linked to many factors, including career stage, gender, and geography.
 
Specific recommendations are made to reviewers, recommenders, and Managing Board members to increase equity and inclusiveness in each of their tasks. 
 
Tools to increase equity and inclusiveness:

  • Possibility to submit articles anonymously
  • Transparency in the evaluation of articles
  • Managing Board members take into account underrepresentation in academia when appointing new recommenders
  • Template messages to recommenders and reviewers include recommendations about equity and inclusiveness 
  • Possibility to review anonymously

PCI is a signatory of the Joint Statement of Principles of the Coalition for Diversity and Inclusion in Scholarly Communication (C4DISC)​​​​