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A Survey of Ant Colony Optimization with Social Network

by Shrikant Vyas, Shashvat Sanadhya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 9
Year of Publication: 2014
Authors: Shrikant Vyas, Shashvat Sanadhya

Shrikant Vyas, Shashvat Sanadhya . A Survey of Ant Colony Optimization with Social Network. International Journal of Computer Applications. 107, 9 ( December 2014), 17-21. DOI=10.5120/18779-0098

@article{ 10.5120/18779-0098,
author = { Shrikant Vyas, Shashvat Sanadhya },
title = { A Survey of Ant Colony Optimization with Social Network },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 9 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { },
doi = { 10.5120/18779-0098 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:40:36.935127+05:30
%A Shrikant Vyas
%A Shashvat Sanadhya
%T A Survey of Ant Colony Optimization with Social Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 9
%P 17-21
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

We are living world of virtual community, where people connect to each other through any kind of relationship. Social networking is platform where people share emotions, activities, area of interest etc. Communities in social network are deployed in user nodes with connecting people, second generation social network come in existence lot of emerging application which create service oriented environment, this paper is summarization of ant colony optimization with social networking, which is a growing discipline . Ant take decision with the help of special type of chemical 'pheromone'. Base on this concept ACO meta-heuristic which helps to solve combinational problems such as TSP, Graph color, job shop Network routing, machine learning etc. Hence social networking may be a new platform with ant colony optimization, to solve complex task in social phenomena.

  1. Marco Dorigo and Thomas Stutzl 'Ant Colony Optimization' PHI and MIT press2006.
  2. MFCANTCOL. www. codeproject. com.
  3. Coremen, Leiserson, Rivest, Stein 'Introduction to Algorithm. PHI publication.
  4. D. M. Boyd and N. B. Ellison,"Social network sites: definition, history, and scholarship" Journal of Computer- Mediated Communication, 2007 .
  5. Zhongju (John) Zhang "Felling the sense of community in social networking usage", Engineering management IEEE Transaction volume 57 issue-2.
  6. Xuequn Wang and Yibai Li "Relatedness Need and Users, Satisfaction with SocialNetwork Sites- A Self-Determinant Perspective" Digital Information Management(ICDIM),2012 7thinternational conference.
  7. Xiaopang Deng and chuxiao Xing 'QoS-Oriented optimization model for Web services group'2009 8th IEEE/ACIS International Conference on Computer and Information Science.
  8. Cao Zhi-yi, Bai,Yan-qi, Sun Xiao 'TSP Optimization by the Cellular ant algorithm', International Conference in Instrumentation , Measurement, Computer, Communication and Control 2011.
  9. Wu junquiang, ouyang Aijia, 'Hybrid algorithm for ACO and delete cross method for TSP', International Conference in Industrial Control and Electronics Engineering 2012.
  10. Yangyang Liu, Xuanjing Shen, Haipeng Chen, 'An Adaptive Ant Colony Algorithm Based Common Information for Solving the Traveling Salesman Problem' International Conference on Systems and Informatics (ICSAI 2012).
  11. Wiboonsak Watthayu, 'Ant Colony Algorithm-Based Travelling Route Problems: A Case Study in Bangkok'.
  12. Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi,'A Bio inspired Algorithm for Searching Relationships in Social Networks' 978-1-4577-1133-6/11/ 2011 IEEE,
  13. Guanfeng Liu ,Yan Wang, Mehmet A Orgun, 'Finding the optimal social trust path for the selection of trustworthy services provider in complex social network' IEEE transaction on service computing vol. 6 no 2.
  14. B. Chandra Mohan, R. Baskaran 'A survey :Ant colony optimization based recent research and implementation on several engineering domain' Expert Systems with Applications 39(2012) 4618-4627 ,Elsevier
  15. Chrisntian Blum 'Ant colony optimization: introduction and recent trends' physics of life reviews 2(2005) 353-373, Elsevier.
  16. Salah Bouktif , Mamoun Adel Awad 'ant colony based approach to predict stock market movement from mood collected on twitter' 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
  17. Md Abdur Rahman,Abdulmotaleb El Saddik ,wail Gueaieb'Building Dynamic Social Network from sensory Data Feed' IEEE transaction on Instrumentation and measurement vol. 59 NO. 5 may 2010 .
  18. Zhang Wei 'A Novel Trust Model Based on Recommendation for E-commerce'1-4244-0885-7/07/ 2007 IEEE. J. Golbeck and J. Hendler, "Inferring Trust Relationships in Web-Based Social Networks," ACM Trans. Internet Technology, vol. 6, no. 4, pp. 497-529, 2006.
  19. R. Guha, R. Kumar, P. Raghavan, and A. Tomkins, "Propagation of Trust and Distrust," Proc. Int'l Conf. World Wide Web(WWW '04), pp. 403-412, 2004.
  20. Shashvat Sanadhya , Nikhil Agrawal,S. singh 'Pheromone base swarm approach for Detecting articulation user node in social networking ' ICSPCT 2014 IEEE Ajmer (rj) conference.
Index Terms

Computer Science
Information Sciences


Swarm-Intelligence ACO pheromone