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2016 | OriginalPaper | Chapter

6. Concluding Remarks

Author : Nikolay K. Vitanov

Published in: Science Dynamics and Research Production

Publisher: Springer International Publishing

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Abstract

In this chapter, several concluding remarks are provided about the importance of science for society and about general characteristics of research systems. The importance of statistical laws for research systems is emphasized, and we stress the usefulness of mathematical models and methods for the study and understanding of the dynamics of science and scientific production.

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Literature
1.
go back to reference P. Vinkler, The Evaluation of Research by Scientometric Indicators (Chandos, Oxford, 2010)CrossRef P. Vinkler, The Evaluation of Research by Scientometric Indicators (Chandos, Oxford, 2010)CrossRef
2.
go back to reference T. Kealey, The Economic Laws of Scientific Research (Macmillan, Houndmills, 1996)CrossRef T. Kealey, The Economic Laws of Scientific Research (Macmillan, Houndmills, 1996)CrossRef
3.
go back to reference A. Scharnhorst. Constructing knowledge landscapes within the framework of geometrically oriented evolutionary theories, in Integrative Systems Approaches to Natural and Social Dynamics ed. by M. Matthies, H. Malchow, J. Kriz (Springer, Berlin, 2001) pp. 505–515 A. Scharnhorst. Constructing knowledge landscapes within the framework of geometrically oriented evolutionary theories, in Integrative Systems Approaches to Natural and Social Dynamics ed. by M. Matthies, H. Malchow, J. Kriz (Springer, Berlin, 2001) pp. 505–515
4.
go back to reference R. Klavans, K.W. Boyack, Using global mapping to create more accurate document-level maps of research fields. J. Am. Soc. Inform. Sci. Technol. 62, 1–18 (2011)CrossRef R. Klavans, K.W. Boyack, Using global mapping to create more accurate document-level maps of research fields. J. Am. Soc. Inform. Sci. Technol. 62, 1–18 (2011)CrossRef
5.
go back to reference K.W. Boyack, R. Klavans, K. Börner, Mapping the backbone of science. Scientometrics 64, 351–374 (2005)CrossRef K.W. Boyack, R. Klavans, K. Börner, Mapping the backbone of science. Scientometrics 64, 351–374 (2005)CrossRef
6.
go back to reference R.M. Shiffrin, K. Börner, Mapping knowledge domains. PNAS 101, 5183–5185 (2004)CrossRef R.M. Shiffrin, K. Börner, Mapping knowledge domains. PNAS 101, 5183–5185 (2004)CrossRef
7.
go back to reference K. Börner, L. Dall’Asta, W. Ke, A. Vespignani, Studying the emerging global brain: analyzing and visualizing the impact of co-authorship teams. Complexity 10, 57–67 (2005)CrossRef K. Börner, L. Dall’Asta, W. Ke, A. Vespignani, Studying the emerging global brain: analyzing and visualizing the impact of co-authorship teams. Complexity 10, 57–67 (2005)CrossRef
8.
go back to reference A. Skupin, A cartographic approach to visualizing conference abstracts. Comput. Graphics Appl. 22, 50–58 (2002)CrossRef A. Skupin, A cartographic approach to visualizing conference abstracts. Comput. Graphics Appl. 22, 50–58 (2002)CrossRef
9.
go back to reference D. Hakken, The Knowledge Landscapes of Cyberspace (Routledge, London, 2004) D. Hakken, The Knowledge Landscapes of Cyberspace (Routledge, London, 2004)
10.
go back to reference E. Bruckner, W. Ebeling, A. Scharnhorst, The application of evolution models in scientometrics. Scientometrics 18, 21–41 (1990)CrossRef E. Bruckner, W. Ebeling, A. Scharnhorst, The application of evolution models in scientometrics. Scientometrics 18, 21–41 (1990)CrossRef
11.
go back to reference E. Bruckner, W. Ebeling, M.A. Jimenez Montano, A. Scharnhorst. Hyperselection and innovation described by a stochastic model of technological evolution, in Evolutionary Economics and Chaos Theory. New directions in Technology Studies ed. by L. Leydesdorff, P. van den Besselaar (St. Martin’s Press, 1994) pp. 79–90 E. Bruckner, W. Ebeling, M.A. Jimenez Montano, A. Scharnhorst. Hyperselection and innovation described by a stochastic model of technological evolution, in Evolutionary Economics and Chaos Theory. New directions in Technology Studies ed. by L. Leydesdorff, P. van den Besselaar (St. Martin’s Press, 1994) pp. 79–90
12.
go back to reference E. Bruckner, W. Ebeling, M.A. Jimenez, Montano, A. Scharnhorst. Nonlinear stochastic effects of substitution—an evolutionary approach. J. Evol. Econ. 6, 1–30 (1996) E. Bruckner, W. Ebeling, M.A. Jimenez, Montano, A. Scharnhorst. Nonlinear stochastic effects of substitution—an evolutionary approach. J. Evol. Econ. 6, 1–30 (1996)
13.
go back to reference E. Bruckner, W. Ebeling, A. Scharnhorst, Stochastic dynamics of instabilities in evolutionary systems. Sys. Dyn. Rev. 5, 176–191 (1989)CrossRef E. Bruckner, W. Ebeling, A. Scharnhorst, Stochastic dynamics of instabilities in evolutionary systems. Sys. Dyn. Rev. 5, 176–191 (1989)CrossRef
14.
go back to reference W. Ebeling, Karmeshu, A. Scharnhorst. Dynamics of economic and technological search processes in complex adaptive landscapes. Adv. Complex Syst. 4, 71–88 (2001) W. Ebeling, Karmeshu, A. Scharnhorst. Dynamics of economic and technological search processes in complex adaptive landscapes. Adv. Complex Syst. 4, 71–88 (2001)
15.
go back to reference W. Ebeling, A. Scharnhorst, Selforganization models for field mobility of physicists. Czech J. Phys. 36, 43–46 (1986)CrossRef W. Ebeling, A. Scharnhorst, Selforganization models for field mobility of physicists. Czech J. Phys. 36, 43–46 (1986)CrossRef
16.
go back to reference W. Ebeling, A. Scharnhorst, M.A.J. Montano, Karmeshchu. Evolutions-und Innovationsdynamik als Suchprozeß in Komplexe Systeme und Nichtlineare Dynamik in Natur und Gesellschaft: Komplexitätsforschung in Deutschland auf dem Weg ins nächste Jahrhundert ed. by K. Mainzer (Springer, Berlin, 1999) W. Ebeling, A. Scharnhorst, M.A.J. Montano, Karmeshchu. Evolutions-und Innovationsdynamik als Suchprozeß in Komplexe Systeme und Nichtlineare Dynamik in Natur und Gesellschaft: Komplexitätsforschung in Deutschland auf dem Weg ins nächste Jahrhundert ed. by K. Mainzer (Springer, Berlin, 1999)
17.
go back to reference D. Helbing, Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes (Springer, Berlin, 2010)CrossRefMATH D. Helbing, Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes (Springer, Berlin, 2010)CrossRefMATH
18.
go back to reference F. Schweitzer, Brownian Agents and Active Particles: Collective Dynamics in the Natural and Social Sciences (Springer, Berlin, 2003) F. Schweitzer, Brownian Agents and Active Particles: Collective Dynamics in the Natural and Social Sciences (Springer, Berlin, 2003)
19.
go back to reference F. Schweitzer (ed.), Self-Organization of Complex Structures: From Individual to Collective Dynamics (Gordon and Breach, Australia, 1997)MATH F. Schweitzer (ed.), Self-Organization of Complex Structures: From Individual to Collective Dynamics (Gordon and Breach, Australia, 1997)MATH
20.
21.
go back to reference M. Matthies, H. Malchow, J. Kriz (eds.), Integrative Systems Approaches to Natural and Social Dynamics (Springer, Berlin, 2001) M. Matthies, H. Malchow, J. Kriz (eds.), Integrative Systems Approaches to Natural and Social Dynamics (Springer, Berlin, 2001)
22.
go back to reference J. Klüver. The dynamics and evolution of social systems, in New Foundations of a Mathematical Sociology (Kluwer, Dordrecht, 2000) J. Klüver. The dynamics and evolution of social systems, in New Foundations of a Mathematical Sociology (Kluwer, Dordrecht, 2000)
23.
go back to reference N.B. Tuma, M.T. Hannan. Social Dynamics. Models and Methods (Academic Press, Orlando, FL, 1984) N.B. Tuma, M.T. Hannan. Social Dynamics. Models and Methods (Academic Press, Orlando, FL, 1984)
24.
go back to reference A. Bejan, W. Merkx, Constructal Theory of Social Dynamics (Springer, New York, 2007) A. Bejan, W. Merkx, Constructal Theory of Social Dynamics (Springer, New York, 2007)
25.
go back to reference G. Naldi, L. Pareshi, G. Toscani (eds.), Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences (Springer, New York, 2010)MATH G. Naldi, L. Pareshi, G. Toscani (eds.), Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences (Springer, New York, 2010)MATH
26.
go back to reference P. Doreian, F.N. Stokman (eds.), Evolution of Social Networks (Routledge, Amsterdam, 2013)MATH P. Doreian, F.N. Stokman (eds.), Evolution of Social Networks (Routledge, Amsterdam, 2013)MATH
27.
go back to reference S. de Marchi, Computational and Mathematical Modeling in the Social Sciences (Cambridge Iniversity Press, Cambridge, 2005)CrossRef S. de Marchi, Computational and Mathematical Modeling in the Social Sciences (Cambridge Iniversity Press, Cambridge, 2005)CrossRef
28.
go back to reference G.A. Marsan, N. Bellomo, A. Tosin. Complex Systems and Society. Modeling and Simulation. (Springer, Berlin, 2013) G.A. Marsan, N. Bellomo, A. Tosin. Complex Systems and Society. Modeling and Simulation. (Springer, Berlin, 2013)
29.
go back to reference N. Bellomo. Modeling Complex Living Systems. A Kinetic Theory and Stochastic Game Approach. (Birkhäuser, Boston, 2008) N. Bellomo. Modeling Complex Living Systems. A Kinetic Theory and Stochastic Game Approach. (Birkhäuser, Boston, 2008)
30.
go back to reference J. Lorenz, H. Rauhut, F. Schweitzer, D. Helbing, How social influence can undermine the wisdom of crowd effect. PNAS 108, 9020–9025 (2011)CrossRef J. Lorenz, H. Rauhut, F. Schweitzer, D. Helbing, How social influence can undermine the wisdom of crowd effect. PNAS 108, 9020–9025 (2011)CrossRef
31.
go back to reference L.M.A. Bettencourt, J. Lobo, D. Helbing, C. Kühnert, G.B. West, Growth, innovation, scaling, and the pace of life in cities. PNAS 104, 7301–7306 (2007)CrossRef L.M.A. Bettencourt, J. Lobo, D. Helbing, C. Kühnert, G.B. West, Growth, innovation, scaling, and the pace of life in cities. PNAS 104, 7301–7306 (2007)CrossRef
32.
go back to reference J.A. Holyst, K. Kacperski, F. Schweitzer. Social impact models of opinion dynamics, in Annual reviews of Computationsl Physics IX ed. by D. Stauffer (World Scientific, Singapore, 2001) J.A. Holyst, K. Kacperski, F. Schweitzer. Social impact models of opinion dynamics, in Annual reviews of Computationsl Physics IX ed. by D. Stauffer (World Scientific, Singapore, 2001)
33.
go back to reference D. Helbing, P. Molnar, Social force model for pedestrian dynamics. Phys. Rev. E 51, 4282–4286 (1995)CrossRef D. Helbing, P. Molnar, Social force model for pedestrian dynamics. Phys. Rev. E 51, 4282–4286 (1995)CrossRef
34.
go back to reference D. Helbing, Verkehrsdynamik: neue physikalische Modellierungskonzepte (Springer, Berlin, 2013) D. Helbing, Verkehrsdynamik: neue physikalische Modellierungskonzepte (Springer, Berlin, 2013)
35.
go back to reference D. Helbing, J. Keltsch, P. Molnar, Modelling the evolution of human trail systems. Nature 388(6637), 47–50 (1997)CrossRef D. Helbing, J. Keltsch, P. Molnar, Modelling the evolution of human trail systems. Nature 388(6637), 47–50 (1997)CrossRef
36.
go back to reference F. Schweitzer, J. Steinbrink, Estimation of megacity growth: simple rules versus complex phenomena. Appl. Geogr. 18, 69–81 (1998)CrossRef F. Schweitzer, J. Steinbrink, Estimation of megacity growth: simple rules versus complex phenomena. Appl. Geogr. 18, 69–81 (1998)CrossRef
37.
go back to reference F. Schweitzer, W. Ebeling, H. Rose, O. Weiss, Optimization of road networks using evolutionary strategies. Evol. Comput. 5, 419–438 (1997)CrossRef F. Schweitzer, W. Ebeling, H. Rose, O. Weiss, Optimization of road networks using evolutionary strategies. Evol. Comput. 5, 419–438 (1997)CrossRef
38.
go back to reference F. Schweitzer (ed.), Modeling Complexity in Economic and Social Systems (World Scientific, Singapore, 2002)MATH F. Schweitzer (ed.), Modeling Complexity in Economic and Social Systems (World Scientific, Singapore, 2002)MATH
39.
go back to reference F. Schweitzer, R. Mach. The epidemics of donations: logistic growth and power-laws. PLos One 3, e 1458 (2008) F. Schweitzer, R. Mach. The epidemics of donations: logistic growth and power-laws. PLos One 3, e 1458 (2008)
40.
go back to reference F. Schweitzer, L. Behera, Nonlinear voter models: the transition from invasion to coexistence. Eur. J. Phys. B 67, 301–318 (2009)MathSciNetCrossRefMATH F. Schweitzer, L. Behera, Nonlinear voter models: the transition from invasion to coexistence. Eur. J. Phys. B 67, 301–318 (2009)MathSciNetCrossRefMATH
41.
go back to reference D. Lucio-Arias, A. Scharnhorst. Mathematical approaches to modeling science from an algorithmic-historiography perspective, in Models of Science Dynamics ed. by A. Scharnhorst, K.Börner, P. van den Besselaar (Springer, Berlin, 2012), pp. 23–66 D. Lucio-Arias, A. Scharnhorst. Mathematical approaches to modeling science from an algorithmic-historiography perspective, in Models of Science Dynamics ed. by A. Scharnhorst, K.Börner, P. van den Besselaar (Springer, Berlin, 2012), pp. 23–66
42.
go back to reference D. Crouch, J. Irvine, B.R. Martin. Bibliometric analysis for science policy: an evaluation of the United Kingdom’s research performance in ocean currents and protein crystallography. Scientometrics 9, 239–267 (1986) D. Crouch, J. Irvine, B.R. Martin. Bibliometric analysis for science policy: an evaluation of the United Kingdom’s research performance in ocean currents and protein crystallography. Scientometrics 9, 239–267 (1986)
43.
go back to reference N. Payette. Agent-based models of science, in Models of Science Dynamics ed. by A. Scharnhorst, K. Börner, P. van den Besselaar (Springer, Berlin, 2012) pp. 127–157 N. Payette. Agent-based models of science, in Models of Science Dynamics ed. by A. Scharnhorst, K. Börner, P. van den Besselaar (Springer, Berlin, 2012) pp. 127–157
44.
go back to reference M. Hanauske. Evolutionary game theory and complex network of scientific information. Models of Science Dynamics ed. by A. Scharnhorst, K. Börner, P. van den Besselaar (Springer, Berlin, 2012), pp. 159–191 M. Hanauske. Evolutionary game theory and complex network of scientific information. Models of Science Dynamics ed. by A. Scharnhorst, K. Börner, P. van den Besselaar (Springer, Berlin, 2012), pp. 159–191
45.
go back to reference J.M. Russel, R. Rousseau. Bibliometrics and institutional evaluation, in Encyclopedia of Life Support Systems (EOLSS). Part 19.3: Science and Technology Policy ed. by In R. Arvantis (EOLSS Publishers, Oxford, UK, 2002), pp. 1–20 J.M. Russel, R. Rousseau. Bibliometrics and institutional evaluation, in Encyclopedia of Life Support Systems (EOLSS). Part 19.3: Science and Technology Policy ed. by In R. Arvantis (EOLSS Publishers, Oxford, UK, 2002), pp. 1–20
46.
go back to reference D.J. de Solla, Price. A general theory of bibliometric and other cumulative advantage processes. J. Am. Soc. Inform. Sci. 27, 292–306 (1976)CrossRef D.J. de Solla, Price. A general theory of bibliometric and other cumulative advantage processes. J. Am. Soc. Inform. Sci. 27, 292–306 (1976)CrossRef
47.
go back to reference J. Enders, R. Whitley, J. Glser (eds.), The Changing Governance of the Sciences. The Advent of Research Evaluation Systems. Sociology of the Sciences Yearbook (Springer, Dordrecht, 2007) J. Enders, R. Whitley, J. Glser (eds.), The Changing Governance of the Sciences. The Advent of Research Evaluation Systems. Sociology of the Sciences Yearbook (Springer, Dordrecht, 2007)
48.
go back to reference L. Leydesdorff, L. Bornmann, R. Mutz, T. Opthof, Turning the tables on citation analysis one more time: principles for comparing sets of documents. J. Am. Soc. Inform. Sci. Technol. 62, 1370–1381 (2011)CrossRef L. Leydesdorff, L. Bornmann, R. Mutz, T. Opthof, Turning the tables on citation analysis one more time: principles for comparing sets of documents. J. Am. Soc. Inform. Sci. Technol. 62, 1370–1381 (2011)CrossRef
49.
go back to reference O. Amsterdamska, L. Leydesdorff, Citations: indicators of significance? Scientometrics 15, 449–471 (1989)CrossRef O. Amsterdamska, L. Leydesdorff, Citations: indicators of significance? Scientometrics 15, 449–471 (1989)CrossRef
50.
go back to reference E.C.M. Noyons, H.F. Moed, M. Luwel, Combining mapping and citation analysis for evaluative bibliometric purposes: a bibliometric study. J. Am. Soc. Inform. Sci. 50, 115–131 (1999)CrossRef E.C.M. Noyons, H.F. Moed, M. Luwel, Combining mapping and citation analysis for evaluative bibliometric purposes: a bibliometric study. J. Am. Soc. Inform. Sci. 50, 115–131 (1999)CrossRef
51.
go back to reference C. Oppenheim, S.P. Renn, Highly cited old papers and the reasons why they continue to be cited. J. Am. Soc. Inform. Sci. 29, 225–231 (1978)CrossRef C. Oppenheim, S.P. Renn, Highly cited old papers and the reasons why they continue to be cited. J. Am. Soc. Inform. Sci. 29, 225–231 (1978)CrossRef
52.
go back to reference H. Small, E. Sweeney, Clustering the science citation index using co-citations i: a comparison of methods. Scientometrics 7, 391–409 (1985)CrossRef H. Small, E. Sweeney, Clustering the science citation index using co-citations i: a comparison of methods. Scientometrics 7, 391–409 (1985)CrossRef
53.
go back to reference H. Small, E. Sweeney, E. Greenlee, Clustering the science citation index using co-citations. ii: mapping science. Scientometrics 8, 321–340 (1985)CrossRef H. Small, E. Sweeney, E. Greenlee, Clustering the science citation index using co-citations. ii: mapping science. Scientometrics 8, 321–340 (1985)CrossRef
54.
go back to reference R. Rousseau, A. Zuccala, A classification of author co-citations: definitions and search strategies. J. Am. Soc. Inform. Sci. Technol. 55, 513–529 (2004)CrossRef R. Rousseau, A. Zuccala, A classification of author co-citations: definitions and search strategies. J. Am. Soc. Inform. Sci. Technol. 55, 513–529 (2004)CrossRef
55.
go back to reference H. Small, Macro-level changes in the structure of co-citation clusters: 1983–1989. Scientometrics 26, 5–20 (1993)CrossRef H. Small, Macro-level changes in the structure of co-citation clusters: 1983–1989. Scientometrics 26, 5–20 (1993)CrossRef
56.
go back to reference L. Leydesdorff, On the normalization and visualization of author co-citation data: Salton’s cosine versus the Jaccard index. J. Am. Soc. Inform. Sci. Technol. 59, 77–85 (2008)CrossRef L. Leydesdorff, On the normalization and visualization of author co-citation data: Salton’s cosine versus the Jaccard index. J. Am. Soc. Inform. Sci. Technol. 59, 77–85 (2008)CrossRef
57.
go back to reference H.D. White, K.W. McCain, Vizualizing a discipline: an author co-citation analysis of information science, 1972–1995. J. Am. Soc. Inform. Sci. 49, 327–355 (1998)CrossRef H.D. White, K.W. McCain, Vizualizing a discipline: an author co-citation analysis of information science, 1972–1995. J. Am. Soc. Inform. Sci. 49, 327–355 (1998)CrossRef
58.
go back to reference M. Zitt, E. Bassecoulard, Development of a method for detection and trend analysis of research fronts built by lexical or cocitation analysis. Scientometrics 30, 333–351 (1994)CrossRef M. Zitt, E. Bassecoulard, Development of a method for detection and trend analysis of research fronts built by lexical or cocitation analysis. Scientometrics 30, 333–351 (1994)CrossRef
59.
go back to reference H.D. White, B.C. Griffith, Author cocitation: a literature measure of intellectual structure. J. Am. Soc. Inform. Sci. 32, 163–171 (1981)CrossRef H.D. White, B.C. Griffith, Author cocitation: a literature measure of intellectual structure. J. Am. Soc. Inform. Sci. 32, 163–171 (1981)CrossRef
60.
go back to reference Y. Ding, R. Rousseau, D. Wolfram (eds.), Measuring Scholarly Impact Methods and Practice (Springer, Chaim, 2014) Y. Ding, R. Rousseau, D. Wolfram (eds.), Measuring Scholarly Impact Methods and Practice (Springer, Chaim, 2014)
61.
go back to reference N.J. van Eck, L. Waltman, Vizualizing bibliometric networks, in Measuring Scholarly Impact Methods and Practice ed. by Y. Ding, R. Rousseau, D. Wolfram (Springer, Chaim, 2014), pp. 285–320 N.J. van Eck, L. Waltman, Vizualizing bibliometric networks, in Measuring Scholarly Impact Methods and Practice ed. by Y. Ding, R. Rousseau, D. Wolfram (Springer, Chaim, 2014), pp. 285–320
62.
go back to reference K. Börner, Atlas of Science: Visualizing What We Know (MIT Press, Cambridge, MA, 2010) K. Börner, Atlas of Science: Visualizing What We Know (MIT Press, Cambridge, MA, 2010)
63.
go back to reference K. Börner, C. Chen, K.W. Boyack, Visualizing knowledge domains. Annu. Rev. Inform. Sci. Technol. 37(1), 179–255 (2003)CrossRef K. Börner, C. Chen, K.W. Boyack, Visualizing knowledge domains. Annu. Rev. Inform. Sci. Technol. 37(1), 179–255 (2003)CrossRef
64.
go back to reference W.D. Nooy, A. Mrvar, Y.V. Batageli, Exploratory Social Network Analysis with Pajek, 2nd edn. (Cambridge University Press, Cambridge, 2011)CrossRef W.D. Nooy, A. Mrvar, Y.V. Batageli, Exploratory Social Network Analysis with Pajek, 2nd edn. (Cambridge University Press, Cambridge, 2011)CrossRef
65.
go back to reference M. Bastian, S. Heymann, M. Jacomy. Gephi: An open source software for exploring and manipulating networks. in Proceedings of the Third International ICWSM Conference (2009), pp. 361–362 M. Bastian, S. Heymann, M. Jacomy. Gephi: An open source software for exploring and manipulating networks. in Proceedings of the Third International ICWSM Conference (2009), pp. 361–362
67.
go back to reference K. Börner, D.E. Polley. Replicable science of science, in Measuring Scholarly Impact Methods and Practic, ed. by Y. Ding, R. Rousseau, D. Wolfram (Springer, Chaim, 2014), pp. 321–341 K. Börner, D.E. Polley. Replicable science of science, in Measuring Scholarly Impact Methods and Practic, ed. by Y. Ding, R. Rousseau, D. Wolfram (Springer, Chaim, 2014), pp. 321–341
68.
go back to reference N.J. van Eck, L. Waltman, Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84, 523–538 (2010)CrossRef N.J. van Eck, L. Waltman, Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84, 523–538 (2010)CrossRef
69.
go back to reference M. Rosvall, C.T. Bergstrom, Maps of random walks on complex networks reveal community structure. Proc. Nat. Acad. Sci. 105, 1118–1123 (2008)CrossRef M. Rosvall, C.T. Bergstrom, Maps of random walks on complex networks reveal community structure. Proc. Nat. Acad. Sci. 105, 1118–1123 (2008)CrossRef
70.
go back to reference M. Rosvall, C.T. Bergstrom, Mapping change in large networks. PLoS ONE 5, e8694 (2010)CrossRef M. Rosvall, C.T. Bergstrom, Mapping change in large networks. PLoS ONE 5, e8694 (2010)CrossRef
71.
go back to reference L. Bohlin, D. Edler, A. Lancichinetti, M. Rosval, Community detection and visualization of networks with the map equation framework, in Measuring Scholarly Impact ed. by Y. Ding, R. Rousseau, D. Wolfram (Springer, Chaim, 2014) L. Bohlin, D. Edler, A. Lancichinetti, M. Rosval, Community detection and visualization of networks with the map equation framework, in Measuring Scholarly Impact ed. by Y. Ding, R. Rousseau, D. Wolfram (Springer, Chaim, 2014)
72.
go back to reference K.M. Carley, Computational and mathematical organization theory: Perspective and directions. Comput. Math. Organ. Theory 1, 39–56 (1995)CrossRef K.M. Carley, Computational and mathematical organization theory: Perspective and directions. Comput. Math. Organ. Theory 1, 39–56 (1995)CrossRef
74.
go back to reference A.W. Bausch, Evolving intergroup cooperation. Comput. Math. Organ. Theory 20, 369–393 (2014)CrossRef A.W. Bausch, Evolving intergroup cooperation. Comput. Math. Organ. Theory 20, 369–393 (2014)CrossRef
75.
go back to reference N. Nan, R. Zmund, E. Yatgin, A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory. Comput. Math. Organ. Theory 20, 52–88 (2014)CrossRef N. Nan, R. Zmund, E. Yatgin, A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory. Comput. Math. Organ. Theory 20, 52–88 (2014)CrossRef
76.
go back to reference N. Hoser, Public funding in the academic field of nanotechnology: a multi-agent based model. Comput. Math. Organ. Theory 19, 253–281 (2013)CrossRef N. Hoser, Public funding in the academic field of nanotechnology: a multi-agent based model. Comput. Math. Organ. Theory 19, 253–281 (2013)CrossRef
77.
go back to reference Z.-S. Jiang, Y.-H. Hao, Game analysis of technology innovation alliance stability based on knowledge transfer. Comput. Math. Organ. Theory 19, 403–421 (2013)CrossRef Z.-S. Jiang, Y.-H. Hao, Game analysis of technology innovation alliance stability based on knowledge transfer. Comput. Math. Organ. Theory 19, 403–421 (2013)CrossRef
78.
go back to reference L.A. Costa, J.A. de Matos, Attitude change in arbitrary large organizations. Comput. Math. Organ. Theory 20, 219–251 (2014) L.A. Costa, J.A. de Matos, Attitude change in arbitrary large organizations. Comput. Math. Organ. Theory 20, 219–251 (2014)
79.
go back to reference C.M. Schlick, S. Duckwitz, S. Schneider, Project dynamics and emergent complexity. Comput. Math. Organ. Theory 19, 480–515 (2013)CrossRef C.M. Schlick, S. Duckwitz, S. Schneider, Project dynamics and emergent complexity. Comput. Math. Organ. Theory 19, 480–515 (2013)CrossRef
80.
go back to reference A.L. Osipian, Corrupt organizations: modeling educators’ misconduct with cellular automata. Comput. Math. Organ. Theory 19, 1–24 (2013)CrossRef A.L. Osipian, Corrupt organizations: modeling educators’ misconduct with cellular automata. Comput. Math. Organ. Theory 19, 1–24 (2013)CrossRef
81.
go back to reference K. Hansson, P. Karlström, A. Larsson, H. Verhagen, Reputation, inequality and meeting techniques: visualising user hierarchy to support collaboration. Comput. Math. Organ. Theory 20, 155–175 (2014)CrossRef K. Hansson, P. Karlström, A. Larsson, H. Verhagen, Reputation, inequality and meeting techniques: visualising user hierarchy to support collaboration. Comput. Math. Organ. Theory 20, 155–175 (2014)CrossRef
82.
go back to reference Y. Zhang, Y. Wu, How behaviors spread in dynamic social networks. Comput. Math. Organ. Theory 18, 419–444 (2012)CrossRef Y. Zhang, Y. Wu, How behaviors spread in dynamic social networks. Comput. Math. Organ. Theory 18, 419–444 (2012)CrossRef
83.
go back to reference L. Chen, G.G. Gable, H. Hu, Communication and organizational social networks: a simulation model. Comput. Math. Organ. Theory 19, 460–479 (2013)CrossRef L. Chen, G.G. Gable, H. Hu, Communication and organizational social networks: a simulation model. Comput. Math. Organ. Theory 19, 460–479 (2013)CrossRef
84.
go back to reference C. Cioffi-Revilla, Simplicity and reality in computational modeling of politics. Comput. Math. Organ. Theory 15, 26–46 (2009) C. Cioffi-Revilla, Simplicity and reality in computational modeling of politics. Comput. Math. Organ. Theory 15, 26–46 (2009)
Metadata
Title
Concluding Remarks
Author
Nikolay K. Vitanov
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-41631-1_6

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