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This volume contains the peer-reviewed proceedings of the 17th International Conference on Complex Networks (CompleNet 2026) and presents recent advances in the interdisciplinary field of Network Science.The selected contributions cover a broad range of topics, including computational social science, data science, network algorithms, network evolution, dynamics on and of networks, machine learning, recommender systems, urban systems, trade networks, and network theory. In addition to the contributed papers, the volume includes invited chapters that highlight emerging research directions and demonstrate the growing importance of network-based approaches in addressing scientific and societal challenges. By combining methodological innovations with applications to real-world complex systems, these proceedings provide a comprehensive overview of the current state of research in the field.

This proceedings volume is of interest to researchers, graduate students, and practitioners in Network Science, Complex Systems, Physics, Computer Science, Applied Mathematics, and related disciplines who seek an up-to-date perspective on recent developments in the field.