A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks | Zendy

Dongxiao He | Zendy; Dayou Liu | Zendy; Di Jin | Zendy; Weixiong Zhang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks

Author(s) -

Dongxiao He,

Dayou Liu,

Di Jin,

Weixiong Zhang

Publication year - 2015

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v29i1.9159

Subject(s) - computer science , maximization , identification (biology) , node (physics) , focus (optics) , complex network , stochastic modelling , property (philosophy) , link (geometry) , modular design , expectation–maximization algorithm , community structure , data mining , machine learning , mathematical optimization , maximum likelihood , mathematics , engineering , computer network , philosophy , statistics , botany , physics , structural engineering , optics , epistemology , combinatorics , world wide web , biology , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research