91 citations · 95 across the 4 of their papers we have counts for
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physics.soc-ph2016★ 4 cited
A maximum entropy approach to separating noise from signal in bimodal affiliation networks
Navid Dianati
In practice, many empirical networks, including co-authorship and collocation networks are unimodal projections of a bipartite data structure where one layer represents entities, t…
physics.soc-ph2015★ 91 cited
Unwinding the hairball graph: pruning algorithms for weighted complex networks
Navid Dianati
Empirical networks of weighted dyadic relations often contain noisy edges that alter the global characteristics of the network and obfuscate the most important structures therein.…
physics.soc-ph2015
Arbitrary degree distribution and high clustering in networks of locally interacting agents
Navid Dianati, Nima Dehmamy
Many real world networks, such as social networks, are primarily formed through local interactions between agents. Additionally, in contrast with common network models, social and…