Rank Based Virtual Community Detection in Mobile User Network
DOI:
https://doi.org/10.51983/ajcst-2018.7.3.1897Keywords:
OSN, Virtual community, Call log Network, Social Network AnalysisAbstract
A virtual community network is a network of individuals who are sharing something in common such as behavior, thoughts, and ideas. The detection of virtual communities in social networks encourages the researchers in the computational and social science to invest more effort and time to explore the different properties of virtual networks. This paper introduces, mobile user network, another application area of virtual community networks with some proven techniques. The work explains the link prediction methods in which the relation between the different parameters in the dataset is explored. The virtual network hence formed could give more insights to the investors in the mobile communication domain to fulfill the customers’ needs and attract more users to their tent.
References
J. Schafer and M. Olsen, "Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst’s Perspective," Multivariate Behavioral Research, vol. 33, no. 4, pp. 545-571, 1998.
M. Huisman, "Imputation of Missing Network Data: Some Simple Procedures," Journal of Social Structure, vol. 10, pp. 1-29, 2009.
Y. Zou and Z. Xiao, "Data analysis approaches of soft sets under incomplete information," Knowledge-Based Systems, vol. 21, no. 8, pp. 941-945, 2008.
Z. Kong, Z. Zhang, G. Wang, L. Wu, Z. Qi, S. Wang, and H. Fang, "An efficient decision making approach in incomplete soft set," Applied Mathematical Modelling, vol. 38, pp. 2141-2150, 2014.
H. Qin, X. Ma, T. Herawan, and J. M. Zain, "DFIS: A novel data filling approach for an incomplete soft set," International Journal of Applied Mathematics and Computer Science, vol. 22, no. 4, pp. 817-828, 2012.
M. S. Khan, M. Al-Garadi, A. Wahab, and T. Herawan, "An alternative data filling approach for prediction of missing data in soft sets (ADFIS)," SpringerPlus, vol. 5, no. 1, 2016.
Y. Liu, K. Qin, C. Rao, and M. A. Mahamadu, "Object–Parameter Approaches to Predicting Unknown Data in an Incomplete Fuzzy Soft Set," International Journal of Applied Mathematics and Computer Science, vol. 27, no. 1, pp. 157-167, 2017.
S. Brin and L. Page, "Reprint of: The anatomy of a large-scale hypertextual Web search engine," Computer Networks, vol. 56, no. 18, pp. 3825-3833, 2012.
V. Batagelj and M. Zaversnik, "An O(m) Algorithm for Cores Decomposition of Networks," Advances in Data Analysis and Classification, vol. 5, no. 2, pp. 129-145, 2011.
J. Schafer and J. Graham, "Missing data: Our view of the state of the art," Psychological Methods, vol. 7, no. 2, pp. 147-177, 2002.
G. Kossinets, "Effects of missing data in social networks," Social Networks, vol. 28, no. 3, pp. 247-268, 2006.
K. Krapivin, Mikalai, and M. Marchese, "Focused Page Rank in Scientific Papers Ranking," in International Conference on Asian Digital Libraries, pp. 144-153, 2008.
L. Page, S. Brin, R. Motwani, and T. Winograd, "The Pagerank Citation Ranking: Bringing Order to the Web," Social Networks, 1999.
S. Wasserman and K. Faust, "Social Network Analysis: Methods and Applications," Cambridge University Press, 1994.
S. B. Seidman, "Network structure and minimum degree," Social Networks, vol. 5, pp. 269-287, 1983.
M. Khan, A. Wahab, T. Herawan, G. Mujtaba, S. Danjuma, and M. Al-Garadi, "Virtual Community Detection Through the Association between Prime Nodes in Online Social Networks and Its Application to Ranking Algorithms," IEEE Access, vol. 4, pp. 9614-9624, 2016.
Y. Liu, M. Tang, T. Zhou, and Y. Do, "Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition," Scientific Reports, vol. 5, no. 1, 2015.
S. Pei, L. Muchnik, J. S. Andrade, Z. Zheng, and H. A. Makse, "Searching for superspreaders of information in real-world social media," Scientific Reports, vol. 4, no. 1, 2014.
J. Y. Halpern et al., "A ranking algorithm for online social network search," in Proceedings of the 6th ACM India Computing Convention Article No. 17, 2013.
W. Dong, B. Lepri, and A. Pentland, "Modeling the co-evolution of behaviors and social relationships using mobile phone data," in Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia – MUM, 2011.
P. A. Chirita, J. Diederich, and W. Nejdl, "MailRank: using ranking for spam detection," in Proceedings of the 14th ACM International Conference on Information and Knowledge Management-CIKM, 2005.
K. Mankirat and S. Sarbjeet, "Analyzing negative ties in social networks: A survey," Egyptian Informatics Journal, vol. 17, no. 1, pp. 21-43, 2016.
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