04973nam a22006015i 4500 978-3-031-57515-0 DE-He213 20251030111817.0 cr nn 008mamaa 240413s2024 sz | s |||| 0|eng d 9783031575150 978-3-031-57515-0 10.1007/978-3-031-57515-0 doi QA166-166.247 PBV bicssc MAT008000 bisacsh PBV thema Complex Networks XV [electronic resource] : Proceedings of the 15th Conference on Complex Networks, CompleNet 2024 / edited by Federico Botta, Mariana Macedo, Hugo Barbosa, Ronaldo Menezes. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XII, 218 p. 77 illus., 72 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Proceedings in Complexity, 2213-8692 Chapter 1: Mapping low-resolution edges to high-resolution paths: the case of traffic measurements in cities -- Chapter 2: From Low Resource Information Extraction to Identifying Influential Nodes in Knowledge Graphs -- Chapter 3: Inhomogenous Marketing Mix Diffusion -- Chapter 4: Modelling both pairwise interactions and group effects in polarization on interaction networks -- Chapter 5: Computing Motifs in Hypergraphs -- Chapter 6: Extending network tools to explore trends in temporal granular trade networks -- Chapter 7: Expressivity of Geometric Inhomogeneous Random Graphs-Metric and Non-Metric -- Chapter 8: Social Interactions Matter: Is Grey Wolf Optimizer a Particle Swarm Optimization Variation? -- Chapter 9: Exploring Ingredient Variability in Classic Russian Cuisine Dishes through Complex Network Analysis -- Chapter 10: Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific -- Chapter 11: Kinetic-based force-directed graph embedding -- Chapter12: Deep Graph Machine Learning Models for Epidemic Spread Prediction and Prevention -- Chapter 13: EleMi: A robust method to infer soil ecological networks with better community structure -- Chapter 14: Interpreting Node Embedding Distances Through n-order Proximity Neighbourhoods -- Chapter 15: Edge Dismantling with Geometric Reinforcement Learning -- Chapter 16: Public Transit Inequality in the Context of the Built Environment. The International Conference on Complex Networks (CompleNet) brings together researchers and practitioners from diverse disciplines working on areas related to complex networks. CompleNet has been an active conference since 2009. Over the past two decades, we have witnessed an exponential increase in the number of publications and research centres dedicated to this field of Complex Networks (aka Network Science). From biological systems to computer science, from technical to informational networks, and from economic to social systems, complex networks are becoming pervasive for dozens of applications. It is the interdisciplinary nature of complex networks that CompleNet aims to capture and celebrate. The CompleNet conference is one of the most cherished events by scientists in our field. Maybe it is because of its motivating format, consisting of plenary sessions (no parallel sessions); or perhaps the reason is that it finds the perfect balance between young and senior participation, a balance in the demographics of the presenters, or perhaps it is just the quality of the work presented. Graph theory. Sociology Methodology. 59417 System theory. 66519 Computational intelligence. 64052 Graph Theory. Sociological Methods. 71801 Complex Systems. 66520 Computational Intelligence. 64052 Botta, Federico. editor. edt http://id.loc.gov/vocabulary/relators/edt 75138 Macedo, Mariana. editor. edt http://id.loc.gov/vocabulary/relators/edt 75139 Barbosa, Hugo. editor. edt http://id.loc.gov/vocabulary/relators/edt 75140 Menezes, Ronaldo. editor. edt http://id.loc.gov/vocabulary/relators/edt 75141 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031575143 Printed edition: 9783031575167 Printed edition: 9783031575174 Springer Proceedings in Complexity, 2213-8692 68732 https://doi.org/10.1007/978-3-031-57515-0 ZDB-2-SMA ZDB-2-SXMS 59114 59114