I. J. of Business & Management Research
Research Article
Visualization for Analysis of Social Networking, Models and Techniques: A Review
Author(s) : Shugufta Abrahim*,Bilal Ahmed Mir, Faheem Ahmad Reegu and Shazia Farooq
Publisher : FOREX Publication
Published : 30 September 2018
e-ISSN :2347-4696
Page(s) : 137-144
Abstract
In this paper, we have reviewed several social networking sites, evolution and background and significance of social media. Social networking is used as platform for various applications like: government, business, educational, political, dating and matrimonial, etc. Motivation is to examine adversarial networks and represents the activities observed by analyser. Additionally we’ve examined social network model and operations performed in it along with simulation and close degree algorithm, Adversarial Network analyser and analysis of vulnerabilities of an organization analysed. We examine the types of posting on social media websites and influence of posting data and privacy concerns of Facebook and twitter users. This study indicates the different concerns of users regarding posting information and its influences of user based privacy concerns. In addition we discussed several classification and clustering techniques used for data mining in online social networking sites and the market targets and parameters and analysis of different variables as per the usage of SNSs.
Keywords: Social Networking, Several Classification, online social networking and market targets
Shugufta Abrahim*, Graduate School of Science and Engineering for Education, University of Toyama, Gofuku, Toyama, Japan, Department of Computer Science and Information Systems, Jazan University, Saudi Arabia; Email: Shuguftawani23@gmail.com
Bilal Ahmed Mir, Graduate School of Science and Engineering for Education, University of Toyama, Gofuku, Toyama, Japan ; Email: mirb940@gmail.com
Faheem Ahmad Reegu, Department of Computer Science and Information Systems, Jazan University, Saudi Arabia; Email: farfaheem6211@gmail.com
Shazia Farooq , Department of Computer Science and Information Systems, Jazan University, Saudi Arabia
[1] R. Zeng, Q. Z. Sheng, L. Yao, T. Xu, and D. Xie. A practical simulation method for social networks. In Proceedings of the First Australasian Web Conference, Volume 144, 27-34. Australian Computer Society, Inc. 2013.
[2] R. Toivonen, J. P. Onnela, J. Saramäki, J. Hyvönen, and K. Kaski. A model for social networks. Physica A: Statistical Mechanics and its Applications 371, no. 2 (2006): 851-860.
[3] A. M. Kaplan, and M. Haenlein. Users of the world, unite! The challenges and opportunities of Social Media. Business horizons 53, no. 1 (2010): 59-68.
[4] R. Orendovici, Social Network Analysis and Simulation of the Development of Adversarial Networks. 2011.
[5] N. B. Ellison, Social network sites: Definition, history, and scholarship. Journal of computer‐mediated Communication13, no. 1 (2007): 210-230.
[6] M. A. Urista, Q. Dong, and K. D. Day. Explaining why young adults use Myspace and Facebook through uses and gratifications theory. Human Communication 12, no. 2 (2009): 215-229.
[7] T. P. Alloway, and R. G. Alloway. The impact of engagement with social networking sites (SNSs) on cognitive skills. Computers in Human Behaviour 28, no. 5 (2012): 1748-1754.
[8] P. T. Jaeger, and S. Munson. Engaging the public in open government: Social media technology and policy for government transparency. Federal register 1 (2010).
[9] S. Asur, and B. A. Huberman. Predicting the future with social media. In Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology-Volume 01, pp. 492-499. IEEE Computer Society, 2010.
[10] J. Yin, A. Lampert, M. Cameron, B. Robinson, and R. Power. Using social media to enhance emergency situation awareness. IEEE Intelligent Systems 27, no. 6 (2012): 52-59.
[11] K. Subrahmanyam, S. M. Reich, N. Waechter, and G. Espinoza. Online and offline social networks: Use of social networking sites by emerging adults. Journal of applied developmental psychology 29, no. 6 (2008): 420-433.
[12] D. J. Kuss, and M. D. Griffiths. Social networking sites and addiction: Ten lessons learned. International journal of environmental research and public health 14, no. 3 (2017): 311.
[13] J. Bukovina, Social media big data and capital markets – An overview." Journal of Behavioural and Experimental Finance 11 (2016): 18-26.
[14] V. Jakkula, Tutorial on support vector machine (SVM). School of EECS, Washington State University 37 (2006).
[15] B. Viswanath, A. B. Muhammad, M. Crovella, S. Guha, K. P. Gummadi, B. Krishnamurthy, and A. Mislove. Towards Detecting Anomalous User Behaviour in Online Social Networks. In USENIX Security Symposium, pp. 223-238. 2014.
[16] H. Zhang, and D. Li. Naïve Bayes text classifier. In Granular Computing, 2007. GRC 2007. IEEE International Conference. pp. 708-708. IEEE, 2007.
[17] H. Zhang, and D. Li. Naïve Bayes text classifier. In Granular Computing, 2007. GRC 2007. IEEE International Conference. pp. 708-708. IEEE, 2007.
[18] P. Kazienko, and N. Chawla, eds. Applications of social media and social network analysis. Springer, 2015.
[19] C. Özgen, Social Networking Sites Utilization for Teaching and Learning. PhD diss., MIDDLE EAST TECHNICAL UNIVERSITY, 2012.
[20] R. Zeng, Q. Z. Sheng, L. Yao, T. Xu, & D.Xie. A practical simulation method for social networks. In Proceedings of the First Australasian Web Conference. Volume 144 (pp. 27-34). Australian Computer Society, Inc. (2013, January).
[21] V. E. Krebs, Mapping Networks of Terrorist Cells, CONNECTIONS, Vol. 24, Num. 3, pp 43-52. 2002.
[22] Il-C. Moon, M. C. Kathleen and A. H. Levis. Vulnerability assessment on adversarial organization: Unifying command and control structure analysis and social network analysis. In SIAM International Conference on Data Mining, Workshop on Link Analysis, Counterterrorism and Security. 2008.
[23] A. S. Sarlis, D. P. Sakas, and D. S. Vlachos. Facebook’s personal page modelling and simulation." In AIP Conference Proceedings, vol. 1644, no. 1, pp. 331-338. AIP, 2015.
[24] A. Sarlan, C. Nadam, and S. Basri. Twitter sentiment analysis. In Information Technology and Multimedia (ICIMU), 2014 International Conference on, pp. 212-216. IEEE, 2014.
[25] A. K. Jose, N. Bhatia, and S. Krishna. Twitter sentiment analysis. In Seminar Report, National Institute of Technology Calicut. 2010.
[26] Y. Jeong, and K. Yeuseung. Privacy concerns on social networking sites: Interplay among posting types, content, and audiences. Computers in Human Behavior 69 (2017): 302-310.
Shugufta Abrahim, Bilal Ahmed Mir, Faheem Ahmad Reegu and Shazia Farooq (2018), Visualization for Analysis of Social Networking, Models and Techniques: A Review . IJBMR 6(3), 137-144. DOI: 10.37391/IJBMR.060401.