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Modelling and mining networks = 20th...

International Workshop on Modelling and Mining Networks (2025 :)

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Modelling and mining networks = 20th International Workshop, WAW 2025, Vilnius, Lithuania, June 30 - July 3, 2025 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modelling and mining networks/ edited by Mindaugas Bloznelis ... [et al.].
其他題名:	20th International Workshop, WAW 2025, Vilnius, Lithuania, June 30 - July 3, 2025 : proceedings /
其他題名:	WAW 2025
其他作者:	Bloznelis, Mindaugas.
團體作者:	International Workshop on Modelling and Mining Networks
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	x, 205 p. :ill. (some col.), digital ;24 cm.
內容註:	Linear Geometric Centralities. -- Analysis and predictability of centrality measures in competition networks. -- Modularity of Random Intersection Graphs. -- The size of the giant in inhomogeneous random graphs of preferential attachment type. -- k-connectivity threshold for superpositions of Bernoulli random graphs. -- Improving community detection via community association strength scores. -- PageRank under interpolation between undirected- and directed networks - a case study. -- Degrees in preferential attachment networks with an anomaly. -- The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+o2). -- A Graph Network Approach to Disinformation Detection in Social Media. -- Computation of the Laplacian Spectral Barycentre Network in a Soules Basis. -- The Multilayer Artificial Benchmark for Community Detection (mABCD). -- Integrating Link Prediction and Isolation Forest for Backbone Extraction.
Contained By:	Springer Nature eBook
標題:	Data mining - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-92898-7
ISBN:	9783031928987

Modelling and mining networks = 20th International Workshop, WAW 2025, Vilnius, Lithuania, June 30 - July 3, 2025 : proceedings /
Modelling and mining networks20th International Workshop, WAW 2025, Vilnius, Lithuania, June 30 - July 3, 2025 : proceedings /[electronic resource] :WAW 2025edited by Mindaugas Bloznelis ... [et al.]. - Cham :Springer Nature Switzerland :2025. - x, 205 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,156991611-3349 ;. - Lecture notes in computer science ;15699..

Linear Geometric Centralities. -- Analysis and predictability of centrality measures in competition networks. -- Modularity of Random Intersection Graphs. -- The size of the giant in inhomogeneous random graphs of preferential attachment type. -- k-connectivity threshold for superpositions of Bernoulli random graphs. -- Improving community detection via community association strength scores. -- PageRank under interpolation between undirected- and directed networks - a case study. -- Degrees in preferential attachment networks with an anomaly. -- The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+o2). -- A Graph Network Approach to Disinformation Detection in Social Media. -- Computation of the Laplacian Spectral Barycentre Network in a Soules Basis. -- The Multilayer Artificial Benchmark for Community Detection (mABCD). -- Integrating Link Prediction and Isolation Forest for Backbone Extraction.

This book constitutes the refereed proceedings of the 20th International Workshop on Modelling and Mining Networks, WAW 2025, held in Vilnius, Lithuania, during June 30-July 3, 2025. The 13 full papers presented in this book were carefully reviewed and selected from 20 submissions.The aim of the 20th Workshop on Modelling and Mining Networks was to further the understanding of networks that arise in theoretical as well as applied domains. The goal was also to stimulate the development of high performance and scalable algorithms that exploit these networks.

ISBN: 9783031928987

Standard No.: 10.1007/978-3-031-92898-7doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Modelling and mining networks = 20th International Workshop, WAW 2025, Vilnius, Lithuania, June 30 - July 3, 2025 : proceedings /
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