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Showing 1 to 7 of 7 for “"Bipartite network"”.

  1. Advancing Community Detection through Ensemble Learning and Modularity Maximization

    Arguably, the most fundamental problem in Network Science is finding structure within a complex network. Often, this is done by partitioning the network's nodes into communities in a way that maximizes an objective function. However, finding the maximizing partition is generally a computationally …

    houston Repository record for Advancing Community Detection through Ensemble Learning and Modularity Maximization (opens in a new tab)

  2. The early history and emergence of molecular functions and modular scale-free network behavior

    … scaffold. Here we trace domain history onto a bipartite network of elementary functional loop (EFL) sequences and domain structures defined at the fold superfamily (FSF) level of Structural Classification of Proteins (SCOP). The resulting ‘elementary functionome’ network and its EFL and FSF …

    uiuc Repository record for The early history and emergence of molecular functions and modular scale-free network behavior (opens in a new tab)

  3. Mutual information: inferring tie strength and proximity in bipartite social network data with non-metric associations

    … strength or proximity between individuals from bipartite social network data with non-metric associations. Unlike network datasets with explicit links between nodes, bipartite networks provide only implicit indications of the probable existence of connections. Therefore, as a measure of the …

    uiuc Repository record for Mutual information: inferring tie strength and proximity in bipartite social network data with non-metric associations (opens in a new tab)

  4. Enhanced Recommender Systems by Biclustering

    … of associated users and items through a weighted bipartite network of users' feedback and a fast community detection algorithm. Concurrent information of users and items is either imputed or integrated into the singular value decomposition (SVD) framework without requiring any domain knowledge. …

    arizona-thes Repository record for Enhanced Recommender Systems by Biclustering (opens in a new tab)

  5. Predicting Toxin-Antitoxin Systems Responsible for Host-Induced Persistence of Burkholderia pseudomallei

    … to a stress condition using unsupervised bipartite network analysis on an existing expression dataset that exposes BPM to 82 different conditions. Thirty-two toxins showed association to host-like conditions of which, six toxins were further examined for their role in host persistence. …

    utmb Repository record for Predicting Toxin-Antitoxin Systems Responsible for Host-Induced Persistence of Burkholderia pseudomallei (opens in a new tab)

  6. Constructing and modeling text-rich information networks: a phrase mining-based approach

    … an organized heterogeneous information network, and developing powerful modeling mechanisms on such organized network. We name it text-rich information network, since it is an integrated representation of both structured and unstructured textual data. To thoroughly develop the …

    uiuc Repository record for Constructing and modeling text-rich information networks: a phrase mining-based approach (opens in a new tab)

  7. Combinatorial aspects of low-rank matrix factorization and two applications in bioinformatics

    … They arise in applications that involve a bipartite network of sources that are emitting some signals over discrete time and sensors that are monitoring these signals. In this context, Y contains sensor measurements over several time points, X contains source signals over time points and A …

    bielefeld Repository record for Combinatorial aspects of low-rank matrix factorization and two applications in bioinformatics (opens in a new tab)