Complex Networks XV

Proceedings of the 15th Conference on Complex Networks, CompleNet 2024

Inbunden, Engelska, 2024

Av Federico Botta, Mariana Macedo, Hugo Barbosa, Ronaldo Menezes

3 329 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

The International Conference on Complex Networks (CompleNet) brings together researchers and practitioners from diverse disciplines working on areas related to complex networks.

Produktinformation

Utgivningsdatum2024-04-14
Mått155 x 235 x 18 mm
Vikt560 g
FormatInbunden
SpråkEngelska
SerieSpringer Proceedings in Complexity
Antal sidor218
FörlagSpringer International Publishing AG
ISBN9783031575143

Tillhör följande kategorier

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.