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  2. Similarity (network science) - Wikipedia

    en.wikipedia.org/wiki/Similarity_(network_science)

    Similarity in network analysis occurs when two nodes (or other more elaborate structures) fall in the same equivalence class. There are three fundamental approaches to constructing measures of network similarity: structural equivalence, automorphic equivalence, and regular equivalence. [ 1 ]

  3. Similarity measure - Wikipedia

    en.wikipedia.org/wiki/Similarity_measure

    Similarity (network science) – in network analysis, when two nodes (or other more elaborate structures) fall in the same equivalence class; Similarity (philosophy) – Relation of resemblance between objects; Statistical distance – Distance between two statistical objects

  4. Link prediction - Wikipedia

    en.wikipedia.org/wiki/Link_prediction

    In network theory, link prediction is the problem of predicting the existence of a link between two entities in a network. Examples of link prediction include predicting friendship links among users in a social network, predicting co-authorship links in a citation network, and predicting interactions between genes and proteins in a biological network.

  5. Network science - Wikipedia

    en.wikipedia.org/wiki/Network_science

    Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges).

  6. Assortativity - Wikipedia

    en.wikipedia.org/wiki/Assortativity

    Assortativity, or assortative mixing, is a preference for a network's nodes to attach to others that are similar in some way.Though the specific measure of similarity may vary, network theorists often examine assortativity in terms of a node's degree. [1]

  7. Self-Similarity of Network Data Analysis - Wikipedia

    en.wikipedia.org/wiki/Self-Similarity_of_Network...

    In computer networks, self-similarity is a feature of network data transfer dynamics. When modeling network data dynamics the traditional time series models, such as an autoregressive moving average model are not appropriate.

  8. Gang-tied illegal immigrant ‘giggled’ as he confessed to ...

    www.aol.com/gang-tied-illegal-immigrant-giggled...

    Science & Tech. Shopping. Sports. Weather. 24/7 Help. For premium support please call: ... Godoy had been arrested before for similar crimes — and deported back to Honduras, where he admits he ...

  9. Similarity learning - Wikipedia

    en.wikipedia.org/wiki/Similarity_learning

    Similarity learning is closely related to distance metric learning.Metric learning is the task of learning a distance function over objects. A metric or distance function has to obey four axioms: non-negativity, identity of indiscernibles, symmetry and subadditivity (or the triangle inequality).