This work is licensed under the Creative Commons Attribution 4.0 International License.
Barabási, A., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509–512.BarabásiA.AlbertR. (1999). Emergence of scaling in random networks. , 286(5439), 509–512.Search in Google Scholar
Battiston, F., Musciotto, F., Wang, D., Barabási, A., Szell, M.,… Sinatra, R. (2019). Taking census of physics. Nature Reviews Physics, 1(1), 89–97.BattistonF.MusciottoF.WangD.BarabásiA.SzellM.SinatraR. (2019). Taking census of physics. , 1(1), 89–97.Search in Google Scholar
Beckmann, M. J. (1995). Networks in action: Communication, economics and human knowledge. Economic models of knowledge networks. (pp.159-174): Springer, Berlin, Heidelberg.BeckmannM. J. (1995). Networks in action: Communication, economics and human knowledge . . (pp.159–174): Springer, Berlin, Heidelberg.Search in Google Scholar
Berger, V. W., & Zhou, Y.Y. (2014). Kolmogorov–smirnov test: Overview. Wiley statsref: Statistics reference online. https://doi.org/10.1002/9781118445112.stat06558.BergerV. W.ZhouY.Y. (2014). Kolmogorov–smirnov test: Overview. . https://doi.org/10.1002/9781118445112.stat06558.Search in Google Scholar
Bianconi, G., & Barabási, A. (2001). Bose-Einstein condensation in complex networks. Physical review letters, 86(24), 5632.BianconiG.BarabásiA. (2001). Bose-Einstein condensation in complex networks. , 86(24), 5632.Search in Google Scholar
Börner, K., Maru, J. T., & Goldstone, R. L. (2004). The simultaneous evolution of author and paper networks. Proceedings of the National Academy of Sciences, 101(suppl_1), 5266–5273.BörnerK.MaruJ. T.GoldstoneR. L. (2004). The simultaneous evolution of author and paper networks. , 101(suppl_1), 5266–5273.Search in Google Scholar
Castells, M. (1996). The rise of the network society. Malden, MA: Blackwell Publishers, Inc.CastellsM. (1996). . Malden, MA: Blackwell Publishers, Inc.Search in Google Scholar
Chen, Y. W., Börner, K., & Fang, S. (2013). Evolving collaboration networks in Scientometrics in 1978–2010: a micro–macro analysis. Scientometrics, 95, 1051–1070.ChenY. W.BörnerK.FangS. (2013). Evolving collaboration networks in Scientometrics in 1978–2010: a micro–macro analysis. , 95, 1051–1070.Search in Google Scholar
Clauset, A., Arbesman, S., & Larremore, D. B. (2015). Systematic inequality and hierarchy in faculty hiring networks. Science advances, 1(1), e1400005.ClausetA.ArbesmanS.LarremoreD. B. (2015). Systematic inequality and hierarchy in faculty hiring networks. , 1(1), e1400005.Search in Google Scholar
Benesty, J., Huang, Y. T., Chen, J. D., & Cohen, I. (2009). Pearson correlation coefficient. Noise reduction in speech processing, STSP, 2, 1–4.BenestyJ.HuangY. T.ChenJ. D.CohenI. (2009). Pearson correlation coefficient. , STSP, 2, 1–4.Search in Google Scholar
Cooke, P., & Leydesdorff, L. (2006). Regional Development in the Knowledge-Based Economy: The Construction of Advantage. The Journal of Technology Transfer, 31(1), 5–15.CookeP.LeydesdorffL. (2006). Regional Development in the Knowledge-Based Economy: The Construction of Advantage. , 31(1), 5–15.Search in Google Scholar
Daraio, C., Fabbri, F., Gavazzi, G., Izzo, M. G., Leuzzi, L., Quaglia, G.,... Ruocco, G. (2018). Assessing the interdependencies between scientific disciplinary profiles. Scientometrics, 116, 1785–1803.DaraioC.FabbriF.GavazziG.IzzoM. G.LeuzziL.QuagliaG.RuoccoG. (2018). Assessing the interdependencies between scientific disciplinary profiles. , 116, 1785–1803.Search in Google Scholar
Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S.,... Uzzi, B. (2018). Science of science. Science, 359(6379), eaao185.FortunatoS.BergstromC. T.BörnerK.EvansJ. A.HelbingD.MilojevićS.UzziB. (2018). Science of science. , 359(6379), eaao185.Search in Google Scholar
Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122(3159), 108–111.GarfieldE. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. , 122(3159), 108–111.Search in Google Scholar
Guan, J. C., & Zhu, W. J. (2014). How knowledge diffuses across countries: a case study in the field of management. Scientometrics, 98(3), 2129–2144.GuanJ. C.ZhuW. J. (2014). How knowledge diffuses across countries: a case study in the field of management. , 98(3), 2129–2144.Search in Google Scholar
Harvey, H. B., & Sotardi, S. T. (2018). The pareto principle. Journal of the American College of Radiology, 15(6), 931.HarveyH. B.SotardiS. T. (2018). The pareto principle. , 15(6), 931.Search in Google Scholar
Krapivsky, P. L., Redner, S., & Leyvraz, F. (2000). Connectivity of growing random networks. Physical review letters, 85(21), 4629.KrapivskyP. L.RednerS.LeyvrazF. (2000). Connectivity of growing random networks. , 85(21), 4629.Search in Google Scholar
Li, N. (2017). Evolutionary patterns of national disciplinary profiles in research: 1996–2015. Scientometrics, 111(1), 493–520.LiN. (2017). Evolutionary patterns of national disciplinary profiles in research: 1996–2015. , 111(1), 493–520.Search in Google Scholar
Li, W. H., Aste, T., Caccioli, F., & Livan, G. (2019). Early coauthorship with top scientists predicts success in academic careers. Nature communications, 10(1), 5170.LiW. H.AsteT.CaccioliF.LivanG. (2019). Early coauthorship with top scientists predicts success in academic careers. , 10(1), 5170.Search in Google Scholar
Li, X., & Chen, G. R. (2003). A local-world evolving network model. Physica A: Statistical Mechanics and its Applications, 328(1-2), 274–286.LiX.ChenG. R. (2003). A local-world evolving network model. , 328(1-2), 274–286.Search in Google Scholar
Liu, Z. H., Lai, Y. C., Ye, N., & Dasgupta, P. (2002). Connectivity distribution and attack tolerance of general networks with both preferential and random attachments. Physics Letters A, 303(5-6), 337–344.LiuZ. H.LaiY. C.YeN.DasguptaP. (2002). Connectivity distribution and attack tolerance of general networks with both preferential and random attachments. , 303(5-6), 337–344.Search in Google Scholar
Lyu, Y. S., Yin, M. Q., Xi, F. J., & Hu, X. J. (2022). Progress and Knowledge Transfer from Science to Technology in the Research Frontier of CRISPR Based on the LDA Model. Journal of Data and Information Science, 7(1), 1–19.LyuY. S.YinM. Q.XiF. J.HuX. J. (2022). Progress and Knowledge Transfer from Science to Technology in the Research Frontier of CRISPR Based on the LDA Model. , 7(1), 1–19.Search in Google Scholar
Monechi, B., Pullano, G., & Loreto, V. (2019). Efficient team structures in an open-ended cooperative creativity experiment. Proceedings of the National Academy of Sciences, 116(44), 22088–22093.MonechiB.PullanoG.LoretoV. (2019). Efficient team structures in an open-ended cooperative creativity experiment. , 116(44), 22088–22093.Search in Google Scholar
Page, L., Brin, S., Motwani, R., & Winograd, T. (1998). The pagerank citation ranking: Bring order to the web. Technical Report SIDL-WP-1999-0120, Stanford Digital Library Technologies Project.PageL.BrinS.MotwaniR.WinogradT. (1998). . Technical Report SIDL-WP-1999-0120, Stanford Digital Library Technologies Project.Search in Google Scholar
Price, D. D. S. (1976). A general theory of bibliometric and other cumulative advantage processes. Journal of the American society for Information science, 27(5), 292–306.PriceD. D. S. (1976). A general theory of bibliometric and other cumulative advantage processes. , 27(5), 292–306.Search in Google Scholar
Price, D. J. D. S. (1965). Networks Of Scientific Papers. Science, 149(3683), 510–515.PriceD. J. D. S. (1965). Networks Of Scientific Papers. , 149(3683), 510–515.Search in Google Scholar
Shen, Z. S., Yang, L. Y., Pei, J. S., Li, M. H., Wu, C. S., Bao, J. Z., Wei, T., Di Z. R., Rousseau, R., & Wu, J. S. (2016). Interrelations among scientific fields and their relative influences revealed by an input–output analysis. Journal of Informetrics, 10(1), 82–97.ShenZ. S.YangL. Y.PeiJ. S.LiM. H.WuC. S.BaoJ. Z.WeiT.DiZ. R.RousseauR.WuJ. S. (2016). Interrelations among scientific fields and their relative influences revealed by an input–output analysis. , 10(1), 82–97.Search in Google Scholar
Souma, W., Vodenska, I., & Chitkushev, L. (2020). Classification of Paper Values Based on Citation Rank and PageRank. Journal of Data and Information Science, 5(3), 57–70.SoumaW.VodenskaI.ChitkushevL. (2020). Classification of Paper Values Based on Citation Rank and PageRank. , 5(3), 57–70.Search in Google Scholar
Sun, Y., & Latora, V. (2020). The evolution of knowledge within and across fields in modern physics. Scientific Reports, 10(1), 12097.SunY.LatoraV. (2020). The evolution of knowledge within and across fields in modern physics. , 10(1), 12097.Search in Google Scholar
Van Noorden, R. (2015). Interdisciplinary research by the numbers. Nature, 525(7569), 306–307.Van NoordenR. (2015). Interdisciplinary research by the numbers. , 525(7569), 306–307.Search in Google Scholar
Wu, D. S., Li, J., Lu, X. L., & Li, J. P. (2018). Journal editorship index for assessing the scholarly impact of academic institutions: An empirical analysis in the field of economics. Journal of Informetrics, 12(2), 448–460. doi: https://doi.org/10.1016/j.joi.2018.03.008.WuD. S.LiJ.LuX. L.LiJ. P. (2018). Journal editorship index for assessing the scholarly impact of academic institutions: An empirical analysis in the field of economics. , 12(2), 448–460. doi:https://doi.org/10.1016/j.joi.2018.03.008.Search in Google Scholar
Yan, E. J. (2016). Disciplinary knowledge production and diffusion in science. Journal of the Association for Information Science and Technology, 67(9), 2223–2245.YanE. J. (2016). Disciplinary knowledge production and diffusion in science. , 67(9), 2223–2245.Search in Google Scholar
Zhang, B., & Li, Y. T. (2016). A review of the evolution model of scientific knowledge network. J. China Libr. Sci, 42, 85–101.ZhangB.LiY. T. (2016). A review of the evolution model of scientific knowledge network. , 42, 85–101.Search in Google Scholar