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- W2893584405 abstract "Abstract The concept of assortativity which is widely studied within the complex network science attains larger interest being applied to heterogeneous sources of data about people’s behavior. It is well known that there are observed the correlations between the presence of social ties and, for example, age or gender of individuals. However, the links between social and financial behavior are still weakly studied. Given the combined set of pseudonymized data which covers both social ties and aggregated financial preferences, we study the properties of multiplex similarity network, with each layer representing similarity of people according to the chosen similarity measure. The similarity of the users is compared according to the unified categorization of interests which can be considered both as payment and an information interests of a given person. So, for each individual we create the set of vectors, representing his or her interests in particular topics from social media, buying preferences and financial behavior. Then, we create the multiplex and study the intersection of layers, namely, the intersection of clusters within different layers. The results show that although purely financial metrics cannot be used to recover existing social ties of individual, there are significant intersections of groups of people laying in different layers showing that information about people in social media and the properties of their financial behavior may coincide." @default.
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- W2893584405 date "2018-01-01" @default.
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- W2893584405 title "A comparative study of social data similarity measures related to financial behavior" @default.
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- W2893584405 doi "https://doi.org/10.1016/j.procs.2018.08.270" @default.
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