CompleNet is an international conference on complex networks that unites researchers and practitioners from various disciplines, including sociology, biology, physics, and computer science, who share a common desire to gain a deeper comprehension of interdependencies within and across systems. CompleNet provides a platform to exchange ideas and present discoveries related to diverse network types, encompassing biological, technological, informational, and social networks. CompleNet's primary objective is to delve into and commemorate the interdisciplinary essence of complex networks.
Applications of Network Science Algorithms Biological Systems Community Structure Dynamics on and of Networks Disease Spread in Populations and Social Networks Ecological Networks Financial Networks Human Behavior and Social Influence Impact Performance and Success Prediction Networks of Coupled Nonlinear Systems Multiplex and Temporal Networks Network Topology and Geometry Network Controllability and Resilience Networks and Humanities Networks and Mobility Higher-order Networks Network Visualisation Network Neuroscience Machine Learning for Network Analysis Network-based Machine Learning and AI Science of Science Social Media and Social Networks Spatial Networks Sustainable Development and Networks
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