Genetic Algorithm Applied in the Social Network Data Analysis

Article Preview

Abstract:

The rapid development of network and information technology makes the network become the indispensable part in people's life. Network design uses email as a starting point, instead of actual letters. Then Happy Nets, BBS etc. are evolved from it, with virtual as their major feature. In the process of social networks evolution, the personal image transformed from the actual into the virtual one. All this has contributed to the birth of the social network, which then makes the contacts among people presenting the feature of network expansion and cost reduction. The popular social network nowadays is considered to be social plus network, namely, through the network, as a carrier, people are connected to form a virtual community with certain characteristics. Based on the genetic algorithm and genetic coding technology, the article is designed to make the optimal data analysis and create a optimistic cyber environment in the process of the social networks explosive development.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2188-2191

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Joachins. Parallel Genetic Algorithms: Theory and Applications. ISO press, (1993).

Google Scholar

[2] Goldberg D1, Lingle R. Alleles. Loci and the Traveling Salesman Problem. In: Grefenstette J1Editor, Proceedings of First International Conference on Genetic Algorithms. Lawrence ErlbaumAssociates, NewJerse, 1985, 154-1591.

Google Scholar

[3] Holland J.H., Adaptation in Natural and Artificial Systems. Ann Arbor: University of Michigan press, (1975).

Google Scholar

[4] Wolpert D1H1, Macready W1G1, No Free Lunch Theorems for Search. IEEETransactions on Evolutionary Computation. 1997, 1(1): 67-82.

DOI: 10.1109/4235.585893

Google Scholar

[5] Sunil Choenni, Design and Implementation of a Genetic-Based Algorithm for Date Mining. In: Proceeding of the 26thVLDB Conference, Cairo, Egypt, 2000: 33-42.

Google Scholar