Abstract
Currently, there are lacks of relational networks consistent with the characteristics of data of the Internet of things. According to this situation, this paper studies on current complex network model and proposes a network model, which is based on data relationship of the Internet of things. The construction of this data relational model focuses on improving the MVS model. It implements the construction and expansion of basic relational network. Meanwhile, the properties of the Internet of things’ calculation is considered in algorithmic model make the model well reflect the intimacy of the relationship between objects in network. It is a relatively simple calculation. Experiments show that the relational network model can achieve the purpose of the network growth within a certain range, replacement of network nodes and better reflecting the intimacy of the relationship between objects.
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References
ITU Internet Reports: The Internet of Things. ITU Publications (2005)
Olguin, D.O., et al.: Sensible organizations: Technology and methodology for automatically measuring organizational behavior. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics (2009)
Eagle, N., Pentland, A.: Social serendipity-mobilizing social software. IEEE Pervasive Computing (2005)
Nijholt, A., Rienks, R.J., Zwiers, J., Reidsman, D.: Online and off line visualization of meeting information and meeting support. The Visual Computer (2006)
Calabrese, F., Ratti, C.: Real time Rome. Networks and Communication Studies (2006)
Chen, P.: The entity-relationship model toward a unified view of data. ACM Transactions on Database Systems (1976)
Tang, J., Wang, T.: Research on the approximation algorithms for the betweenness property computation on complex social networks. Computer engineering and Science (2008)
Wang, X., Li, X., Chen, G.: Complex network theories and its application. Tsinghua University Press, Beijing (2006)
Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘Small World’ networks. Nature (1988)
Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science (1999)
Jian, A., Xiaolin, G., Wendong, Z., Jinhua, J.: Nodes social relations cognition for mobility-aware in the internet of things. IEEE International Conferences on Internet of Things, and Cyder, Physical and Social Computing (2011)
Fortunato, S., Castellano, C.: Community structure in graphs. In: Meyers, R.A. (ed.) Encyclopedia of Complexity and System Science. Springer, Berlin (2009)
Toivonen, R., Onnela, J.P., Saramaki. J., Hyvonen, J., Kaski, K.: A model for social networks. Physica A 371(2), (2006)
Toivonen, R., Kovanen, L., Kivela, M., Onnela, J.P., Saramaki, J., Kaski, K.: A comparative study of social network models: network evolution models and nodal attribute models (2009)
Granovetter, M.: The strength of weak ties. Am. J. Sociol. 78 (1973)
Marsili, M., Vega-Redondo, F., Slanina, F.: The rise and fall of a networked society: A formal model. Proceedings of the National Academy of Sciences (PNAS) (USA) 101 (2004)
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Zhang, H., Xu, R. (2014). A MVS-Based Object Relational Model of the Internet of Things. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Soft Computing Techniques and Engineering Application. Advances in Intelligent Systems and Computing, vol 250. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1695-7_21
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DOI: https://doi.org/10.1007/978-81-322-1695-7_21
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