Structures and Statistics of Citation Networks
CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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The growing of availability of electronic resources over the Internet enables rapid dissemination of the ideas and changes in the trends and the interaction patterns. In this work, we focus on dynamic, evolving social networks which exhibit numerous features that are also of interest to many researchers in nonsocial fields such as statistical physics, biology, applied mathematics, and computer science. We investigate how a specific research area high-energy physics changes over time, by building interlinked citation, publication, and co-publication networks that evolve and expand constantly through the emergence of new papers and authors. More specifically, following an interdisciplinary approach, we analyze the dataset in its full and reduced forms using techniques that are borrowed from social networks key authorpaper analysis, spatial analysis relationship among involved countries, statistical physics investigation of power laws in citationauthorship networks, and text mining investigation of scientific breakthroughs. We also show how techniques such as Fourier analysis that are of particular interest to electrical engineers find their place in this interdisciplinary approach.
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