|
|
|
| A Social Network Clustering Analysis Algorithm Based on Memetic Algorithm and Relationship Learning |
| SUN Yifei1a, YAO Ruoxia1b, JIAO Licheng2
|
1. a.School of Physics and Information Technology, b.School of Computer Science, Shaanxi Normal University, Xi’an 710119;
2. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xidian University, Xi’an 710071 |
|
|
|
|
Abstract In social networks, the property of society has not been fully exploited. Meanwhile, learning ability for network structure optimization is weak. So a new Memetic Relationship Learning Algorithm (MRLA) has been proposed. This paper studied the fundamentals and basic procedure of MRLA, and effectively utilized the social attribute information. The new algorithm integrated the accuracy of Memetic computation and the quickness of social relational learning. The experimental results of three real-world web data sets show the validity and feasibility of the proposed algorithms.
|
|
Received: 01 November 2016
Published: 25 February 2025
|
|
|
|
|
|
|
|
|
