Forward search path count as an alternative indirect citation impact indicator |
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| Institution: | 1. System Analytics Research Institute, Aston University, Aston Triangle, Birmingham, B4 7ET, UK;2. School of Computer Science, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou, 510006, China;1. Instituto de Biocomputación y Física de los Sistemas Complejos, Edificio I+D-Campus Río Ebro, Universidad de Zaragoza, C/ Mariano Esquillor s/n, 50018 Zaragoza, Spain;2. Departmento de Física Teórica, Universidad de Zaragoza, Campus San Francisco, 50009 Zaragoza, Spain;3. Fundación ARAID, Diputación General de Aragón, 50004 Zaragoza, Spain;1. Departamento de Sociología & Antropología Social, Universitat de València Spain;2. Departamento de Historia de la Ciencia y Documentación, Universitat de València Spain;1. Research Group of Operations Research and Decision Systems, Laboratory on Engineering and Management Intelligence, Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI), Budapest, Hungary;2. Department of Operations Research and Actuarial Sciences Corvinus University of Budapest (BCE), Budapest, Hungary;1. Hamburg Center for Health Economics, University of Hamburg, Esplanade 36, 20354 Hamburg, Germany;2. Department of Economics, Bogazici University, Bebek, Istanbul 34342, Turkey;3. Department of Economics, TOBB University of Economics and Technology, Sogutozu Cad. 43, Sogutozu, Ankara 06560, Turkey;1. Department of Computer, Control, and Management Engineering “Antonio Ruberti” Sapienza University of Rome, Via Ariosto 25, 00185 Rome, Italy;2. Department of Computer Science, Modeling, Electronics, and Systems Engineering, University of Calabria, 87036 Rende, Italy;3. Department of Physics, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy;4. Department of Computer, Control, and Management Engineering “Antonio Ruberti”, Sapienza University of Rome, Via Ariosto 25, 00185 Rome, Italy;5. Institute of Information Technologies and Telecommunications, North Caucasus Federal University, Stavropol, Russian Federation;1. University of Hasselt, Belgium;2. University of Antwerp, Faculty of Social Sciences, B-2020 Antwerp, Belgium;3. KU Leuven, Facultair Onderzoekscentrum ECOOM, Naamsestraat 61, Leuven B-3000, Belgium |
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| Abstract: | Main path analysis is a popular method for extracting the backbone of scientific evolution from a (paper) citation network. The first and core step of main path analysis, called search path counting, is to weight citation arcs by the number of scientific influence paths from old to new papers. Search path counting shows high potential in scientific impact evaluation due to its semantic similarity to the meaning of scientific impact indicator, i.e. how many papers are influenced to what extent. In addition, the algorithmic idea of search path counting also resembles many known indirect citation impact indicators. Inspired by the above observations, this paper presents the FSPC (Forward Search Path Count) framework as an alternative scientific impact indicator based on indirect citations. Two critical assumptions are made to ensure the effectiveness of FSPC. First, knowledge decay is introduced to weight scientific influence paths in decreasing order of length. Second, path capping is introduced to mimic human literature search and citing behavior. By experiments on two well-studied datasets against two carefully created gold standard sets of papers, we have demonstrated that FSPC is able to achieve surprisingly good performance in not only recognizing high-impact papers but also identifying undercited papers. |
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| Keywords: | Scientific ranking Search path count Indirect citation impact indicator Undercited publications |
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