Abstract
Multidimensional scaling is a set of statistical techniques used for finding the underlying structure of high-dimensional data. In the non-metric approach, the data is ordinal, meaning there is a logical ordering between the input values. In this paper we will use non-metric scaling to discuss about how are online social networks perceived nowadays. A social network is a structure made of individuals which have common goals, hobbies, social status or are connected in some other way. We will concentrate in this article on social networks that are popular in Romania among people aged between 20 and 30.
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Radulescu, F., Turcitu, C. (2013). Analyzing Social Networks Using Non-Metric Multidimensional Scaling. In: Dumitrache, L. (eds) Advances in Intelligent Control Systems and Computer Science. Advances in Intelligent Systems and Computing, vol 187. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32548-9_33
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