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Mathematics
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Mathematical Models and Methods in Computational Social Science
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Mathematical Models and Methods in Computational Social Science

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 600

Special Issue Editors

Prof. Dr. Ye Wu

E-Mail Website
Guest Editor
School of Journalism and Communication, Beijing Normal University, Beijing, China
Interests: computational communication
Dr. Lin Zhang

E-Mail Website
Guest Editor
School of Science, Beijing University of Posts and Telecommunications, Beijing, China
Interests: spreading dynamics
Dr. Xiaofan Liu

E-Mail Website
Guest Editor
Department of Media and Communication, City University of Hong Kong, Hong Kong, China
Interests: computational social sciences; cryptocurrency and web3

Special Issue Information

Dear Colleagues,

Advanced mathematical models and methods are playing an increasingly critical role in computational social science by offering rigorous frameworks for analyzing the complex dynamics of social systems. Nonetheless, a gap often exists between state-of-the-art mathematical approaches and their broader application in social research, especially among scholars without formal mathematical training.

The aim of this Special Issue is to help bridge this divide by showcasing the potential of novel mathematical techniques across diverse areas of computational social science. We invite contributions that highlight innovative modeling and methodological advancements in topics such as social networks, agent-based modeling, text mining, big data analytics, public policy evaluation, social influence, opinion dynamics, and behavioral economics. Submissions emphasizing cross-disciplinary collaboration, empirical validation, and actionable insights are especially welcome.

By bringing together scholars from mathematics, computer science, social sciences, and related fields, this Special Issue seeks to foster a deeper dialogue on how mathematical thinking can enhance our understanding of societal processes. We look forward to your submissions, which will help illuminate the transformative power of mathematical methods in driving new discoveries and practical applications within computational social science.

Prof. Dr. Ye Wu
Dr. Lin Zhang
Dr. Xiaofan Liu
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.

Keywords

  • computational methods
  • social robots
  • agent-based modeling
  • social network analysis
  • mathematical modeling
  • complex systems
  • big data analytics
  • opinion dynamics
  • quantitative social science

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Published Papers (1 paper)

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Research

21 pages, 298 KiB  
Article
Faster? Softer? Or More Formal? A Study on the Methods of Enterprises’ Crisis Response on Social Media
by Yongtian Yu, Weiming Ye and Kaihang Zhang
Mathematics 2025, 13(10), 1582; https://doi.org/10.3390/math13101582 - 11 May 2025
Viewed by 414
Abstract
Algorithmic recommendation mechanisms of social media platforms, viral diffusion of user-generated content (UGC), and real-time public opinion pressures are fundamentally deconstructing the traditional corporate crisis response paradigm that used to rely on one-way statements and delayed reactions. This compels enterprises to elevate their [...] Read more.
Algorithmic recommendation mechanisms of social media platforms, viral diffusion of user-generated content (UGC), and real-time public opinion pressures are fundamentally deconstructing the traditional corporate crisis response paradigm that used to rely on one-way statements and delayed reactions. This compels enterprises to elevate their crisis response standards and construct new response frameworks. Based on an empirical analysis of 3,135,675 social media dissemination data points from 94 corporate crisis incidents, this study explores effective crisis response patterns for enterprises through three dimensions: response timing, methods, and content. The key findings indicate that traditional crisis response timelines prove inadequate for social media scenarios, whereas intervention during the ascending phase of dissemination significantly curtails crisis propagation cycles. Beyond formal statements, informal responses demonstrate equivalent mitigation effects, with combined formal–informal approaches yielding optimal outcomes. The comparative analysis of four content strategies (downplaying, supporting, denying, and reframing) reveals differentiated impacts on dissemination volume and duration, highlighting an inherent trade-off between these parameters. This research contributes to the crisis management theory in social media contexts while providing actionable guidance for enterprises to establish systematic crisis response methodologies. The results emphasize temporal sensitivity in response deployment, strategic content formulation, and multimodal communication integration. Full article
(This article belongs to the Special Issue Mathematical Models and Methods in Computational Social Science)
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