Within-journal self-citations and the Pinski-Narin influence weights |
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| Institution: | 1. A P J Abdul Kalam Technological University, Thiruvananthapuram, Kerala, 695016, India;2. CSIR Central Mechanical Engineering Research Institute, Durgapur, Bengal, 713209, India;3. Amsterdam School of Communication Research (ASCoR), University of Amsterdam, PO Box 15793, 1001 NG Amsterdam, the Netherlands;1. International Joint Informatics Laboratory (IJIL), Nanjing University, Nanjing, 210023, China;2. International Joint Informatics Laboratory (IJIL), University of Illinois, Champaign, United States;3. Jiangsu Key Laboratory of Data Engineering and Knowledge Service, School of Information Management, Nanjing University, Nanjing, 210023, China;1. Laboratory for Studies in Research Evaluation, Institute for System Analysis and Computer Science (IASI-CNR), National Research Council, Rome, Italy;2. Nordic Institute for Studies in Innovation, Research and Education, Oslo, Norway;3. University of Rome “Tor Vergata”, Dept of Engineering and Management, Rome, Italy;1. Department of Information Management, Nanjing University of Science and Technology, Nanjing, China;2. Department of Network and New Media, Nanjing Normal University, Nanjing, China;1. National Research University Higher School of Economics, Myasnitskaya, 20, 101000 Moscow, Russia;2. Institute of Mathematics, Physics and Mechanics, Jadranska 19, 1000 Ljubljana, Slovenia;3. University of Primorska, Andrej Maru?i? Institute, 6000 Koper, Slovenia;1. National Research Council Canada, Ottawa, Ontario K1K 2E1 Canada;2. Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montréal, Québec H3G 2W1 Canada |
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| Abstract: | The Journal Impact Factor (JIF) is linearly sensitive to self-citations because each self-citation adds to the numerator, whereas the denominator is not affected. Pinski and Narin (1976) Influence Weights (IW) are not or marginally sensitive to these outliers on the main diagonal of a citation matrix and thus provide an alternative to JIFs. Whereas the JIFs are based on raw citation counts normalized by the number of publications in the previous two years, IWs are based on the eigenvectors in the matrix of aggregated journal-journal citations without a reference to size: the cited and citing sides are normalized and combined by a matrix approach. Upon normalization, IWs emerge as a vector; after recursive multiplication of the normalized matrix, IWs can be considered a network measure of prestige among the journals in the (sub)graph under study. As a consequence, the self-citations are integrated at the field level and no longer disturb the analysis as outliers. In our opinion, this independence of the diagonal values is a very desirable property of a measure of quality or impact. As an example, we elaborate Price’s (1981b) matrix of aggregated citation among eight biochemistry journals in 1977. Routines for the computation of IWs are made available at http://www.leydesdorff.net/iw. |
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| Keywords: | Journal metrics Indicators Self-citations Influence weight Impact factor Eigenvector Citation |
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