Complex Networks & Their Applications VI Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications) /

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the VI International Conference on C...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Cherifi, Chantal (Editör), Cherifi, Hocine (Editör), Karsai, Márton (Editör), Musolesi, Mirco (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Seri Bilgileri:Studies in Computational Intelligence, 689
Konular:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • 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
  • Efficient outlier detection in hyperedge streams using minHash and locality-sensitive hashing
  • Layer-wise model stacking for link prediction in multilayer networks. Case of scientific 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.

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