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The analysis of complex networks, in special of\nthe social networks, has being of interest to the\nscientific community worldwide. Such interest is\ndue to its ability to represent complex problems\nin an objective manner, allowing for a theoretical\nand practical framework to study the characteristics,\nproperties and behavior of the elements\ncomposing the problems. In the field of\nInformation Science, techniques of Social Network\nAnalysis have being used to analyze the\ninformation flow inside communities as well as\nthe structure of scientific collaboration networks.\nHowever, evolutional aspects that could\nbe help to predict the behavior of the authors\nand, consequently, of the future structure have\nbeen neglected. It is possible to compare Social\nNetwork Analysis, disregarding its evolutional\naspect, with a photograph, which is naturally\nstatic. Despite its importance, the photograph\ncannot be so rich in details as a motion\npicture, whose temporal elements ease the\ncontext analysis and the construction of predicting\nscenarios. This paper evidences the behavior\nof researchers in the Information Science’s\nfield in Brazil, appealing to the evolutional\nanalysis of the coauthor network, forecasting\nimpacts on the structure of such networks in\nthe next few years.
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