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    Exact Recovery in Community Detection with Continuous-Valued Side Information

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    Date
    2019-02
    Author
    Saad, Hussein
    Nosratinia, Aria
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    Abstract
    Abstract
    The community detection problem, as a special case of inference on graphs, has received much attention lately. However, in the presence of continuous-valued side information, the behavior of a sharp threshold for exact recovery has remained open, and is addressed in this letter. The new proof presented herein has the further advantage of closing the gap between necessary and sufficient conditions for exact recovery threshold that has existed in community detection under finite-alphabet side information.
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    Due to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article).
    URI
    https://dx.doi.org/10.1109/LSP.2018.2889920
    https://hdl.handle.net/10735.1/9096
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