JOURNAL ARTICLE

Behavioral crowds: Theory, applications and research perspectives.

  • Published In: Mathematical Models & Methods in Applied Sciences, 2025, v. 35, n. 7. P. 1523 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bellomo, N.; Brezzi, F.; Gibelli, L. 3 of 3

Abstract

This special issue explores recent advances in the modeling, analysis, and simulation of collective dynamics across complex living systems in physics, engineering, and the life sciences. The collected papers present innovative approaches to understanding emergent behaviors in these systems, ranging from novel mathematical frameworks to computational methods. Our editorial synthesizes the key themes and findings presented in the papers, highlighting their interconnections and broader implications for the field. We begin by outlining the scope and goals of this special issue, followed by a critical analysis of the scientific contributions of each article, and conclude with an examination of promising future research directions in complex systems modeling. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Mathematical Models & Methods in Applied Sciences. 2025/06, Vol. 35, Issue 7, p1523
  • Document Type:Literature Review
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0218-2025
  • DOI:10.1142/S0218202525020026
  • Accession Number:185451370
  • Copyright Statement:Copyright of Mathematical Models & Methods in Applied Sciences is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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