Special Issue on Statistical Analysis of Networks
Guest Editors
Michael Schweinberger, Rice University, USA, michael.schweinberger@rice.edu
Francesco C. Stingo, University of Florence, Italy, francescoclaudio.stingo@unifi.it
Maria Prosperina Vitale, University of Salerno, Italy, mvitale@unisa.it
Goal
The aim of this special issue is to collect innovative papers on theory, methodology, and applications of models and methods for the analysis of networks. We encourage submissions presenting original works on statistical, computational, and mathematical approaches with an emphasis on empirical and substantive aspects, regardless of whether the networks are observed or unobserved and learnt from data. Innovative applications and case studies in any scientific fields are welcome, especially related to novel methodological challenges in the treatment of big data and large networks.
This special issue will bring together contributions from practitioners and researchers working on different aspects of network analysis, with methodological interests encompassing graphical models, random graphs, advanced methods in the treatment of network data, development of computational and visualization tools, and innovative applications of network analysis in specific domains.
Development of novel methodology and theory (including but not limited to):
Bipartite networks
Chain graphs
Clustering on networks
Directed graphical models/Bayesian networks
Joint probability models of networks and other outcomes
Multilevel networks
Multilayer and Multiplex networks
Multimode networks
Multiple and other complex graphical models
Network visualization
Network growth models
Random graph models
Undirected graphical models/Markov random field
Applications of network analysis in the fields of
Biology
Behavioral science
Business and Management
Economics and geography
Engineering
Epidemiology
Finance
Genomics and genetics
History
Medicine
Social science
Tentative Schedule:
Submission of short abstract*: 31st July 2020
Submission of full paper: 1st October 2020
First review notification: 4th January 2021
Revision due: 15th February 2021
Second review notification: 15th March 2021
Publication date: expected in July 2021
*Email your abstract directly to the guest editors. Get in touch with the editors if you want to submit a manuscript but you have missed the abstract’s deadline
Submission Guidelines
Abstracts will be reviewed by the guest editors and a preliminary feedback will be provided to the authors. Papers should be formatted according to the Statistical Methods and Applications journal instructions for authors at: http://www.springer.com/10260. Springer has LaTeX templates: see “Instructions for Authors / Text” at http://www.springer.com/10260 No templates for Word.
Manuscript Length
Please follow journal’s guidelines for authors at: http://www.springer.com/10260
Submissions of “extended versions” of already published works (e.g., conference/workshop papers) should be significantly extended with a relevant part of novel contribution. A “Summary of Differences” between the submitted paper to this special issue and the former one must be included.
Submission Instruction
The full paper will be submitted in the usual way via the online submission site at (http://www.springer.com/10260).
Authors should select ‘SI: Statistical analysis of networks’ during the submission step 'Additional Information'.
