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International Conference on Computational Modeling of Complex Systems and Networks - (ICCMCSN-27)

13th - 14th January 2027 , Swakopmund - Namibia

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Call For Papers

The (ICCMCSN-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Computational Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Modeling complex networks in systems biology
  • Computational methods for social network analysis
  • Agent-based modeling of social systems
  • Network dynamics and stability analysis
  • Computational modeling of transportation networks
  • Data-driven approaches to network modeling
  • Complex systems in economics and finance
  • Simulation of ecological networks and interactions
  • Computational methods for urban systems
  • Social influence and network effects
  • Modeling information diffusion in networks
  • Resilience and robustness of complex systems
  • Computational tools for network visualization
  • Network optimization and resource allocation
  • Interdisciplinary approaches to complex systems
  • Computational methods for epidemic modeling
  • Complex adaptive systems in social sciences
  • Network theory applications in technology
  • Computational modeling of supply chains
  • Big data analytics in complex networks

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.