Estimating Aggregate Properties In Relational Networks With Unobserved Data

16 Jan 2020Varun EmbarSriram SrinivasanLise Getoor

Aggregate network properties such as cluster cohesion and the number of bridge nodes can be used to glean insights about a network's community structure, spread of influence and the resilience of the network to faults. Efficiently computing network properties when the network is fully observed has received significant attention (Wasserman and Faust 1994; Cook and Holder 2006), however the problem of computing aggregate network properties when there is missing data attributes has received little attention... (read more)

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