https://doi.org/10.1140/epjs/s11734-025-01696-8
Editorial
Collective behaviors in complex biological networks
1
Center for Research, SRM Easwari Engineering College, Chennai, India
2
Center for Cognitive Science, Trichy SRM Medical College Hospital and Research Center, Trichy, India
3
Health Technology Research Institute, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
4
Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
5
School of Mathematics and Data Science, Shaanxi University of Science and Technology, 710021, Xi’an, People’s Republic of China
6
Division of Dynamics, Lodz University of Technology, 90-924, Lodz, Poland
The complexity of biological systems arises from the diversity and richness of interactions among their constituent units, which can be effectively modeled using complex network frameworks. Experimental studies have demonstrated that such interactions give rise to a wide range of emergent collective behaviors within biological populations. Notable examples include synchronization, chimera states, spiral waves, and other dynamic phenomena, all of which are closely linked to the proper or pathological functioning of biological systems. From a physiological perspective, understanding these emergent behaviors is crucial for uncovering the fundamental mechanisms underlying biological processes. Gaining insight into these dynamics not only advances basic scientific knowledge but also holds potential for developing novel diagnostic and therapeutic strategies for various diseases. In light of these developments, this special issue is dedicated to recent research related to collective behaviors in complex biological networks.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
