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Showing 1 to 9 of 9 for “"directed networks"”.

  1. The Friendship Paradox for Weighted and Directed Networks

    … studies the friendship paradox for weighted and directed networks, from a probabilistic perspective. We consolidate and extend recent results of Cao and Ross and Kramer, Cutler and Radcliffe, to weighted networks. Friendship paradox results for directed networks are given; connections to detailed …

    wfu Repository record for The Friendship Paradox for Weighted and Directed Networks (opens in a new tab)

  2. Cluster detection in general Markov chains with applications to directed networks

    … network. These techniques cannot be extended for directed networks since the matrices required are symmetric, diagonalizable, and have only real eigenvalues. Directed networks do not necessarily have these properties, which makes their analysis difficult. In this thesis, we created a community …

    uoit Repository record for Cluster detection in general Markov chains with applications to directed networks (opens in a new tab)

  3. The flux measure of influence in engineering networks

    … the influence of individual nodes in complex networks. The flux metric developed here achieves this goal by considering the difference between the weighted outdegree and indegree of a node. This technique differentiates among nodes that traditional centrality measures treat as identical units. …

    mit Repository record for The flux measure of influence in engineering networks (opens in a new tab)

  4. Applications of low-rank approximation: complex networks and inverse problems

    … can be applied both in the analysis of complex networks and in the solution of inverse problems. In the first case, it will be explained how to identify the most important nodes or how to determine the ease of traveling between them in large-scale networks that arise in many applications. The …

    cagliari Repository record for Applications of low-rank approximation: complex networks and inverse problems (opens in a new tab)

  5. Combinatorics of permutation patterns, interlacing networks, and Schur functions

    … the octahedron recurrence. We define interlacing networks to be certain planar directed networks with a rigid structure of sources and sinks. We describe an involution that swaps paths in these networks and leads to a three-term relations among path weights, which immediately implies the …

    mit Repository record for Combinatorics of permutation patterns, interlacing networks, and Schur functions (opens in a new tab)

  6. Enabling, Managing, and Leveraging Organizational Learning for Innovation - A Case Study of the USAID Feed the Future Innovation Lab for Collaborative Research Program Network

    … case studies representative of NAO-led goal-directed networks, the Integrated Pest Management and Horticulture Innovation Labs. The Crossan et al. (1999) 4I framework on organizational learning served as the primary theoretical foundation for addressing how NAOs enable, manage, and leverage …

    vt Repository record for Enabling, Managing, and Leveraging Organizational Learning for Innovation - A Case Study of the USAID Feed the Future Innovation Lab for Collaborative Research Program Network (opens in a new tab)

  7. Information spread in networks: games, optimal control, and stabilization

    … mechanisms for controlling information spread in networks. We consider two models for information spread. The first one is the well-known distributed averaging dynamics. The second model is a nonlinear one that describes virus spread in computer and biological networks. We seek to design optimal, …

    uiuc Repository record for Information spread in networks: games, optimal control, and stabilization (opens in a new tab)

  8. Efficient algorithms for distributed learning, optimization and belief systems over networks

    … distributed systems such as social media, sensor networks, and cloud-based databases has brought considerable attention to distributed data processing techniques on several fronts of applied and theoretical machine learning, robotics, resource allocation, among many others. As a result, much …

    uiuc Repository record for Efficient algorithms for distributed learning, optimization and belief systems over networks (opens in a new tab)