NETWORK NODES COMMUNITY DETECTION BASED ON DEEP LEARNING

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Keikha Mohammad Mehdi; Rahgozar Maseud

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2018 | Issue:4

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Information Seminar Paper

Title

NETWORK NODES COMMUNITY DETECTION BASED ON DEEP LEARNING

Author(s)

Keikha Mohammad Mehdi | Rahgozar Maseud

Keywords

NETWORK CLUSTERING

DEEP LEARNING

NODE REPRESENTATION VECTOR

NETWORK COMMUNITIES

Abstract

NETWORK CLUSTERING IS ONE OF THE PROBLEMS THAT HAS ATTRACTED MANY RESEARCHERS IN RECENT YEARS. IN THIS ISSUE, EACH USER IS ASSOCIATED WITH A SPECIFIC COMMUNITY BASED ON THE VARIOUS FEATURES OF THE NETWORK, INCLUDING THE STRUCTURE. IN THE RECENT YEARS, DEEP LEARNING IS WIDELY USED TO EXTRACT THE FEATURE VECTOR OF NODES THEN THE VECTORS ARE USED TO FIND THE COMMUNITY OF EACH NODE. IN THIS PAPER, A NETWORK REPRESENTATION LEARNING ALGORITHM IS PRESENTED BASED ON THE INFORMATION OF THE NEIGHBORS OF EACH NODE AND COMMUNITIES ON THE NETWORK. THE RESULTS SHOW THAT OUR NODES’ REPRESENTATION METHOD OFFERS A BETTER QUALITY CLUSTERING OF SOCIAL NETWORKING USERS THAN THE PREVIOUS NETWORK REPRESENTATION LEARNING METHODS.

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APA: Copy

Keikha, Mohammad Mehdi, & Rahgozar, Maseud. (2018). NETWORK NODES COMMUNITY DETECTION BASED ON DEEP LEARNING. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/948836/en

Vancouver: Copy

Keikha Mohammad Mehdi, Rahgozar Maseud. NETWORK NODES COMMUNITY DETECTION BASED ON DEEP LEARNING. 2018. Available from: https://sid.ir/paper/948836/en

IEEE: Copy

Mohammad Mehdi Keikha, and Maseud Rahgozar, “NETWORK NODES COMMUNITY DETECTION BASED ON DEEP LEARNING,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2018, [Online]. Available: https://sid.ir/paper/948836/en

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