Quellen#

  • Barabasi, A. L. (2002): Linked: The new science of networks. Cambridge, M.A.: Perseus Publishing.

  • Berkowitz, S.D.; & Wellman, B. (1988): Social Structures: A Network Approach. Cambrige u.a.: Cambridge University Press.

  • Berkowitz, S.D. (1982): An Introduction to Structural Analysis: The Network Approach to Social Research. Toronto: Butterworths.

  • Bonacich, P. (2004): The Invasion of the Physicists, in: Social Networks, 26(3), pp. 285-288.

  • Buchanan, M. (2002): Small World: Uncovering Nature’s Hidden Networks. London: Weidenfeld & Nicolson.

  • Chicago Booth (o.J.): Ronald S Burt, https://www.chicagobooth.edu/faculty/directory/b/ronald-s-burt [zuletzt aufgerufen am: 03.05.22]

  • Clarivate Analytics (o.J.a): KeyWords Plus generation, creation, and changes, https://support.clarivate.com/ScientificandAcademicResearch/s/article/KeyWords-Plus-generation-creation-and-changes?language=en_US [zuletzt aufgerufen am: 30.03.2022]

  • Clarivate Analytics (o.J.b): Web of Science Core Collection Help. Web of Science Categories, https://images.webofknowledge.com/images/help/WOS/hp_subject_category_terms_tasca.html [zuletzt aufgerufen am 14.04.2022]

  • Clarivate Analytics (o.J.c): Web of Science Core Collection Help. Research Areas, https://images.webofknowledge.com/images/help/WOS/hp_research_areas_easca.html [zuletzt aufgerufen am 30.03.2022]

  • Freeman, L.C. (2004): The Development of Social Network Analysis: A Study in the Sociology of Science. Vancouver, BC: Empirical Press.

  • Freeman, L.C. (2011): The Development of Social Network Analysis - with an Emphasis on Recent Events, in: Carrington, P. & Scott, J. (Eds.). The SAGE Handbook of Social Network Analysis. London: SAGE Publications, pp. 26-39.

  • Fu, X.; Luo, J.-D.; Boos, M. (2017): Methods for Interdisciplinary Social Network Studies, in: Fu, X.; Luo, J.-D.; Boos, M. (Eds.): Social Network Analysis. Interdisiplinary Approaches and Case Studies. Boca Raton, FL: CRC Press.

  • Garfield, E.; Shar, I.H.; Torpie, R.J. (1964): The Use of Citation Data in Writing the History of Science. Philadelphia: Institute for Scientific Information Incorporated.

  • Gephi (2011): Gephi Tutorial Layouts, https://gephi.org/users/tutorial-layouts/ [zuletzt abgerufen am: 02.05.22]

  • Jansen, D. (2003): Einführung in die Netzwerkanalyse. Wiesbaden: VS Verlag für Sozialwissenschaften.

  • Knoke, D.; & Kuklinski, J. H. (1982): Network Analysis. Quantitative Applications in the Social Sciences; Vol. 28. Beverly Hills, CA: SAGE Publishing.

  • John R. Ladd, Jessica Otis, Christopher N. Warren, and Scott Weingart, “Exploring and Analyzing Network Data with Python”, Programming Historian 6 (2017), https://doi.org/10.46430/phen0064.

  • Lazer, D.; Mergel, I.; & Friedman, A. (2009): Co-Citation of Prominent Social Network Articles in Sociology Journals: The Evolving Canon, in: Connections, 29(1), pp. 43-64.

  • Liu, X.; Bollen, J.; Nelson, M.L.; & van de Sompel, H. (2005): Co-authorship networks in the digital library research community, in: Information Processing and Management 41, pp. 1462–1480.

  • Maltseva, D. & Batagelj, V. (2019): Social Network Analysis: Bibliographic Analysis of the Field and its Evolutionn / Part 1. Basic Statistics and Citation Network Analysis, in: Scientometrics, 121(2), pp. 1085-1128.

  • McPherson, M., Smith-Lovin, L., & Cook, J.M. (2001): Birds of a Feather: Homophily in Social Networks, in: Annual Review of Sociology, 27, pp. 415-444.

  • Milojević, S. (2020): Pratical method to reclassify Web of Science articles into unique subject categories and broad disciplines, in: Quantitative Science Studies, 1(1), pp. 183-206.

  • Mosse, B. (2020): A quick tutorial on Gephi layouts — using a Q&A StackOverflow dataset, https://towardsdatascience.com/a-quick-tutorial-on-gephi-layouts-daa87fec5a20 [zuletzt aufgerufen am: 02.05.22]

  • Newman, M. (2003): The structure and function of complex networks, in: SIAM Review 45, pp. 167-256.

  • Newman, M.E.J. (2004): Coauthorship networks and patterns ofscientific collaboration, in: PNAS, 101(1), pp. 5200 –5205.

  • Otte, E. & Rousseau, R. (2002): Social Network Analysis: A Powerful Strategy, also for the Information Sciences, in: Journal of Information Science, 28(6), pp. 441-453.

  • Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015): Epidemic processes in complex networks, in: Rev. Mod. Phys. 87(3), pp. 925.

  • Radicchi, F.; Fortunato, S.; Vespignani, A. (2012): Citation Networks, in: Scharnhorst, A.; Börner, K.; Van den Besselaar, P. (Eds.). Models of Science Dynamics. Berlin, u.a.: Springer, pp. 233.

  • Scott, J. (1991): Social network analysis: A handbook. London, u.a.: Sage Publications.

  • Scott, J. (2017): Social Network Analysis, 4th Edition. London, u.a.: SAGE Publications.

  • University of Michigan (o.J.): Mark Newman, http://www-personal.umich.edu/~mejn/ [zuletzt aufgerufen am: 03.05.22]

  • Hannah VanWingen, Jordan Earnest, “Bibliographic Networks: A Python Tutorial”, https://github.com/clarkdatalabs/bibliometric_networks/blob/master/Jupyter Notebook Files/Network_Tutorial_V.Jupyter.ipynb, zuletzt aufgerufen am: 10.04.2022.

  • Harvard (o.J.): Peter V. Marsden, https://sociology.fas.harvard.edu/people/peter-v-marsden [zuletzt aufgerufen am: 03.05.22].

  • Duong Vu, “Generating WordClouds in Python Tutorial”, https://www.datacamp.com/community/tutorials/wordcloud-python, zuletzt aufgerufen am: 27.04.2022.

  • Wang, Z., Andrews, M.A., Wu, Z.-X., Wang, L., & Bauch, C.T. (2015): Coupled disease–behavior dynamics on complex networks: A review, in: Physics of Life Reviews, 15, pp. 1-29.

  • Wasserman, S.; & Faust, K. (1994): Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences). Cambridge: Cambridge University Press.

  • Watts, D. J.; & Strogatz, S.H. (1998): Collective Dynamics of ‘Small-World’ Networks, in: Nature, 393, pp. 44042.

  • Zhang, J.; Yu, Q.; Zheng, F.; Long, C.; Lu, Z.; & Duan, Z. (2015): Comparing Keywords Plus of WOS and Author Keywords: A Case Study of Patient Adherence Research, in: Journal of the Association for Information Science and Technology, 67(4), pp. 967-972.