Statistical Methods and Applications in Social Networks

Dear Colleagues,

Social network analysis (SNA) is now a mature field characterized by a strong interdisciplinary tendency. This discipline utilizes mathematical, statistical, and computational concepts and methods to analyze and visualize patterns of relationships within interconnected entities. The main objective of social network analysis is to understand the structure of social relationships, identify emerging patterns, and pinpoint the position and influence of key nodes within a network. SNA has applications in various fields such as sociology, psychology, management, epidemiology, and computer science, providing valuable insights into complex social dynamics and enhancing the design of interventions or strategies.

This Special Issue aims to investigate the leading areas of social network analysis and their application to multidisciplinary fields.

We welcome authors to submit manuscripts on statistical methods and applications in social networks, with emphasis on data collection and pre-treatment, network modelling, random graphs, longitudinal studies, personal networks, multilevel networks, community detection, blockmodelling, big data analysis, textual network, topic modelling, network analysis of social, economic, and business network. Overall, our primary focus is intersection of network science with other disciplines and their applications, and we look forward to sharing exciting work on this topic.

The Special Issue will bring together contributions from researchers in statistics, mathematics, sociology, economics, business organization, marketing, computer science, communication, and other scientific fields. Papers describing theoretical studies, complex data structures, as well as original applications in interdisciplinary and new fields, are welcome.

Prof. Giuseppe Giordano
Prof. Dr. Vladimir Batagelj
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• blockmodeling
• community detection
• complex networks
• computational sociology
• digital society
• graph embedding
• graph visualization
• large networks
• social media
• textual and semantic networks