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Complex Networks XIV: Proceedings of the 14th Conference on Complex Networks, CompleNet 2023 2023 ed. [Minkštas viršelis]

  • Formatas: Paperback / softback, 169 pages, aukštis x plotis: 235x155 mm, 51 Illustrations, color; 4 Illustrations, black and white; VI, 169 p. 55 illus., 51 illus. in color., 1 Paperback / softback
  • Serija: Springer Proceedings in Complexity
  • Išleidimo metai: 31-Mar-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031282787
  • ISBN-13: 9783031282782
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 169 pages, aukštis x plotis: 235x155 mm, 51 Illustrations, color; 4 Illustrations, black and white; VI, 169 p. 55 illus., 51 illus. in color., 1 Paperback / softback
  • Serija: Springer Proceedings in Complexity
  • Išleidimo metai: 31-Mar-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031282787
  • ISBN-13: 9783031282782
Kitos knygos pagal šią temą:

This book contains contributions in the area of Network Science, presented at the 14th International Conference on Complex Networks (CompleNet), 24-28 April, 2023 in Aveiro, Portugal. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems.  CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.

The audience of the work are professionals and academics working in Network Science, a highly-multidisciplinary field.


Brains Dynamic Functional Organization with Simultaneous EEG-fMRI
Networks.- Comparative Study of Random Walks with One-step Memory on Complex
Networks.- Network Entropy as a Measure of Socioeconomic Segregation in
Residential and Employment Landscapes.- Community Structure in
Transcriptional Regulatory Networks of Yeast Species.- Learned Monkeys:
Emergent Properties of Deep Reinforcement Learning Generated
Networks.- Targeted Attacks based on Networks Component Structure.- The
Effect of Link Recommendation Algorithms on Network Centrality
Disparities.- CoreGDM: Geometric Deep Learning Network Decycling and
Dismantling.- The Impact of a Crisis Event on Predicting Social Media
Virality.- Evaluating the Bayesian MRP Network Model for Estimating
Heterogeneity in (Age-Stratified) Contact Patterns from Highly Selective
Samples.- Academic Mobility as a Driver of Productivity: A Gender-centric
Approach.- Getting the Boot? Predicting the Dismissal of Managers in
Football.- Nature vs. Nurture in Science: The Effect of Researchers
Segregation on Papers Citation Histories.- Using Vector Fields in the
Modelling of Movements as Flows A Case Study with Cattle Trade Networks.