MEMETIC BASED ONLINE COMMUNITY DETECTION

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Abdi Mohammad Foad; Farrokhi Kasra; AMIRHAERI MARYAM

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2019 | Issue:5

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Title

MEMETIC BASED ONLINE COMMUNITY DETECTION

Author(s)

Abdi Mohammad Foad | Farrokhi Kasra | AMIRHAERI MARYAM

Keywords

ONLINE COMMUNITY DETECTION

SOCIAL NETWORK

MEMETIC ALGORITHM

DENSITY PRESERVING CROSSOVER

DENSE SEARCH MUTATIO

STOCHASTIC LOCAL SEARCH

Abstract

COMMUNITY DETECTION IS ONE OF THE MOST IMPORTANT TASKS IN SOCIAL NETWORKS ANALYSIS. THIS PROBLEM BECOMES MORE CHALLENGING WHEN THE STRUCTURE OF THE NETWORK CHANGES DURING THE TIME. IT IS VERY IMPORTANT TO UPDATE THE STRUCTURES OF THE COMMUNITY IN A DYNAMIC NETWORK WITHOUT TIME-CONSUMING PROCEDURES. THIS PAPER SUGGESTS A HYBRID EVOLUTIONARY ALGORITHM FOR ONLINE COMMUNITY DETECTION. THE PROPOSED ALGORITHM CALLED MEMETIC BASED ONLINE COMMUNITY DETECTION (MBOC) IS BASED ON A MEMETIC ALGORITHM WITH NEW GENETIC OPERATORS AND A NOVEL STOCHASTIC LOCAL SEARCH TO ASSIGN NEW NODES TO COMMUNITIES AND ANOTHER LOCAL SEARCH CALLED DENSE SEARCH TO MODIFY COMMUNITIES AFTER NEW ASSIGNMENTS. THE METHOD IS EVALUATED OVER SEVERAL WELL-KNOWN BENCHMARK NETWORKS. THE RESULTS SHOW THAT THE PROPOSED APPROACH OUTPERFORMS THE PREVIOUS METHODS IN MOST CASES.

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APA: Copy

Abdi, Mohammad Foad, Farrokhi, Kasra, & AMIRHAERI, MARYAM. (2019). MEMETIC BASED ONLINE COMMUNITY DETECTION. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949094/en

Vancouver: Copy

Abdi Mohammad Foad, Farrokhi Kasra, AMIRHAERI MARYAM. MEMETIC BASED ONLINE COMMUNITY DETECTION. 2019. Available from: https://sid.ir/paper/949094/en

IEEE: Copy

Mohammad Foad Abdi, Kasra Farrokhi, and MARYAM AMIRHAERI, “MEMETIC BASED ONLINE COMMUNITY DETECTION,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2019, [Online]. Available: https://sid.ir/paper/949094/en

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