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Dynamics in Biological and Social Networks, Second Edition

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".

Deadline for manuscript submissions: 10 August 2026

Special Issue Editor


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Guest Editor
1. Escola de Engenharia, Universidade Presbiteriana Mackenzie, São Paulo 01302-907, Brazil
2. Escola Politécnica, Universidade de São Paulo, São Paulo 05508-010, Brazil
Interests: complex networks; dynamical systems; epidemiology; game theory; social networks; synchronization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This is the second edition of the Special Issue titled "Dynamics in Biological and Social Networks". The first edition included seven high-quality papers and attracted widespread attention. Therefore, we decided to release a second edition to continue focusing on this research area.

The dynamics of biological and social systems result from the intricate interaction of many elements; hence, such systems are usually represented by complex networks. In fact, life depends on the activity of genes, neurons, and proteins; ecosystems rely on their biodiversity; and societies are affected by the spread of diseases, information, and opposing ideas. From an academic perspective, these subjects are translated into investigations on a wide range of topics, such as the following:

  • Chaotic behavior;
  • Epidemiology;
  • Gene regulatory networks;
  • Information flow;
  • Metabolic pathways;
  • Neuronal networks;
  • Online social media;
  • Opinion dynamics;
  • Population dynamics;
  • Protein–protein interaction;
  • Social network mining;

These investigations are based, for instance, on cellular automata, differential equations, game-theoretic models, multi-agent simulations, and network analysis. Thus, analytical and numerical techniques are employed to deepen our understanding of real-world phenomena.

Entropy measures have been proposed to quantify the amount of variability and the level of complexity found in a broad spectrum of networks. This Special Issue of Entropy is devoted to studies on the dynamics in biological and social networks. These studies should be carried out, at least partially, by drawing upon concepts from information theory. Submissions of original contributions and review articles are both welcome. The submitted manuscripts will be peer-reviewed and the authors will receive timely feedback.

Dr. Luiz Henrique Alves Monteiro
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Entropy is an international peer-reviewed open access monthly 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

  • agent-based model
  • cellular automata
  • complex network
  • dynamical systems
  • entropy measures
  • game theory
  • social media
  • social network
  • systems biology

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