
Complex Networks & Their Applications VI
Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications)
Springer (Publisher)
Published on 27. November 2017
Book
Hardback
XXV, 1288 pages
978-3-319-72149-1 (ISBN)
Description
More details
Series
Edition
1st ed. 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
66 s/w Abbildungen, 358 farbige Abbildungen
XXV, 1288 p. 424 illus., 358 illus. in color. In 2 volumes, not available separately.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 83 mm
Weight
2318 gr
ISBN-13
978-3-319-72149-1 (9783319721491)
DOI
10.1007/978-3-319-72150-7
Schweitzer Classification
Other editions
Additional editions

Chantal Cherifi | Hocine Cherifi | Márton Karsai
Complex Networks & Their Applications VI
Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications)
Book
09/2018
Springer
€406.59
Shipment within 10-15 days

Chantal Cherifi | Hocine Cherifi | Márton Karsai
Complex Networks & Their Applications VI
Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications)
E-Book
11/2017
Springer
€309.23
Available for download
Persons
Content
Part I: Network measures.- A comparison of approaches to computing betweenness centrality for large graphs.- Cycle-centrality in economic and biological networks.- A game theoretic neighbourhood-based relevance index.- The impact of partially missing communities on the reliability of centrality measures.- Consistent estimation of mixed memberships with successive projections.- Reducing pivots of approximated betweenness computation by hierarchically clustering complex networks.- Power network equivalents: a network science based k-means clustering method integrated with silhouette analysis.- Part II: Link Analysis and Ranking.- Newton's gravitational law for link prediction in social networks.- Ef?cient outlier detection in hyperedge streams using minHash and locality-sensitive hashing.- Layer-wise model stacking for link prediction in multilayer networks. Case of scienti?c collaboration networks.- Evolutionary community mining for link prediction in dynamic networks.- Rank aggregation for course sequence discovery.- Part III: Community Structure.- Community-based feature selection for credit card default prediction.- Tracking bitcoin users activity using community detection on a network of weak signals.