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Thomas A. J. Schweiger
Researcher at Acxiom
Publications - 5
Citations - 931
Thomas A. J. Schweiger is an academic researcher from Acxiom. The author has contributed to research in topics: Graph partition & Hierarchical network model. The author has an hindex of 4, co-authored 5 publications receiving 838 citations.
Papers
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Proceedings ArticleDOI
SCAN: a structural clustering algorithm for networks
TL;DR: A novel algorithm called SCAN (Structural Clustering Algorithm for Networks), which detects clusters, hubs and outliers in networks and clusters vertices based on a structural similarity measure is proposed.
Book ChapterDOI
A novel similarity-based modularity function for graph partitioning
TL;DR: This paper proposes a novel similarity-based definition of the quality of a partitioning of a graph and demonstrates that this definition largely overcomes the "hub" problem and outperforms existing approaches on complicated graphs.
Proceedings ArticleDOI
AHSCAN: Agglomerative Hierarchical Structural Clustering Algorithm for Networks
TL;DR: This paper presents a new network clustering method that can find clusters in an agglomerative fashion using structural similarity of vertices in the given network.
Proceedings ArticleDOI
A Divisive Hierarchical Structural Clustering Algorithm for Networks
TL;DR: This paper presents a new clustering method for networks that can find hierarchical structure of clusters without requiring any input parameters.
Proceedings ArticleDOI
On Structural Analysis of Large Networks
TL;DR: This paper presents some new ways of uncovering underlying structures, including the roles that vertices play in the network, with superior performance over other methods such as modularity-based algorithms.