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Complex networks XVproceedings of the 15th Conference on Complex Networks, Complenet 2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Complex networks XVedited by Federico Botta ... [et al.].
其他題名:	proceedings of the 15th Conference on Complex Networks, Complenet 2024 /
其他作者:	Botta, Federico.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xii, 218 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computer networksCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-57515-0
ISBN:	9783031575150$q(electronic bk.)

Complex networks XVproceedings of the 15th Conference on Complex Networks, Complenet 2024 /
Complex networks XVproceedings of the 15th Conference on Complex Networks, Complenet 2024 /[electronic resource] :edited by Federico Botta ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xii, 218 p. :ill. (some col.), digital ;24 cm. - Springer proceedings in complexity,2213-8692. - Springer proceedings in complexity..

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.

ISBN: 9783031575150$q(electronic bk.)

Standard No.: 10.1007/978-3-031-57515-0doiSubjects--Topical Terms:

384494
Computer networks
--Congresses.

LC Class. No.: TK5105.5 / .C66 2024

Dewey Class. No.: 004.6

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520 $a 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.
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