Modelling and measuring the dynamics of scientific communication
Lucio-Arias, D.
Publication date
2010
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Lucio-Arias, D. (2010). Modelling and measuring the dynamics of scientific communication.
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References
Abramson, N. (1963). Information Theory and Coding. New York, etc.:
McGraw-Hill.
Amsterdamska, O., & Leydesdorff, L. (1989). Citations: Indicators of Significance?
Scientometrics, 15(5-6), 449-471.
Ashby, W. R. (1958). Requisite variety and its implications for the control of complex systems. Cybernetica, 1(2), 1-17.
Bacon, R. (1960). Growth, Structure, and Properties of Graphite Whiskers. Journal of
Applied Physics, 31 (2), 283-290.
Baggott, J. E. (1994) Perfect Symmetry: The Accidental Discovery of
Buckminsterfullerene, Oxford: Oxford University Press.
Barnes, S. B., & Dolby, R. G. A. (1970). The Scientific Ethos: A deviant viewpoint.
European Journal of Sociology, 11 (1), 3-25.
Barnes, B., & Edge, D. (Eds.). (1982). Science in Context. Cambridge, MA: MIT Press.
Batagelj, V. (2003). Efficient algorithms for citation network analysis. Retrieved from
http://arxiv.org/abs/cs.DL/0309023 (May 16, 2007)
Bensman, S. J. (2008). Distributional Differences of the Impact Factor in the Sciences Versus the Social Sciences: An Analysis of the Probabilistic Structure of the 2005 Journal Citation Reports. Journal of the American Society for
Information Science and Technology, 59(9), 1366-1382.
Beer, S. (1984). The Viable System Model: Its Provenance, Development, Methodology and Pathology. Journal of the Operational Research Society, 35(1), 7-25.
Bhaskar, R. (1975). A Realist Theory of Science. Leeds: Leeds Books Ltd.
Bhaskar, R. (1998). Societies. In M. Archer, R. Bhaskar, A. Collier, T. Lawson & A. Norrie (Eds.), Critical Realism: Essential Readings (pp. 206-257). London/New York: Routledge.
Bloor, D. (1976). Knowledge and Social Imagery. London, etc.: Routledge & Kegan Paul.
Blume, S.S. (1974). Toward a Political Sociology of Science. New York, etc: The Free Press, London: Collier Macmillan Publishers.
Borgman, C.L., & Furner, J. (2002). Scholarly Communication and Bibliometrics. In B.
Cronin (Ed.), Annual Review of Information Science and Technology, 36. (pp. 3-72). Medford, NJ: Information Today.
Braam, R. R., Moed, H. F., & van Raan, A. F. J. (1991). Mapping of science by combined co-citation and word analysis. I. Structural aspects. Journal of the
American Society for Information Science, 42(4), 233-251.
Braun, T., Bujdoso, E., & Schubert, A. (1987) Literature of Analytical Chemistry: a
Scientometric Evaluation. Boca Raton: CRC Press.
Braun, T., Schubert, A. & Zsindely, S. (1997). Nanoscience and nanotechnology on the balance. Scientometrics, 38(2), 321-325
Brooks, D. R., & Wiley, E. O. (1986). Evolution as Entropy. Chicago/London: University of Chicago Press.
Burt, R. S. (1983). Network Data from Archival Records. In R. S. Burt & M. J. Minor (Eds.), Applied Network Analysis: A methodological introduction (pp. 158-174). Beverly Hills, etc.: Sage.
Callon, M. (1986). Some elements of a sociology of translation: domestication of the scallops and the fishermen of St Brieuc Bay. In: J.Law (ed.) Power, Action
and Belief. A New Sociology of Knowledge? (pp. 196-233). London:
Routledge & Kegan Paul.
Callon, M., Law, J., & Rip, A. (Eds.) (1986). Mapping the Dynamics of Science and
Technology. Macmillan, London
Campanario, J.M. (1993). Consolidation for the Scientist: Sometimes It is Hard to Publish papers that are Later Highly Cited. Social Studies of Science, 23 (2), 342-362.
Carley, K.M., Hummon, N.P., & Harty, M. (1993). Scientific Influence: An analysis of the main path structure in the Journal of Conflict Resolution. Science
Communication, 14(4), 417-447.
Chen, C. (2003). Mapping Scientific Frontiers: The Quest for Knowledge
Visualization. London: Springer.
Chen, C. (2004). Searching for Intellectual Turning Points: Progressive Knowledge Domain Visualizations. Proceedings of the National Academy of Sciences of
the United States of America, 101, 5303-5310.
Chen, C. (2006). CiteSpace: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for
Information Science and Technology, 57(3), 359-377.
Chen, C. (2009). Towards an Explanatory and Computational Theory of Scientific Discovery. Journal of Informetrics, 3(3), 191-210.
Colbert, D.T. (2003). Single-wall nanotubes: a new option for conductive plastics and engineering polymers. Plastics, Additives & Compounding, 5(1), 18-25. Colbert, D.T. & Smalley, R.E. (2002). Past, Present and Future of Fullerene
Nanotubes: Bucytubes. In E. Osawa (Ed) Perspectives of Fullerene
Nanotechnology (pp. 3-10) Great Britain: Kluwer Academic Publishers.
Collins, H.M. (1983). The Sociology of Scientific Knowledge: Studies of Contemporary Science. Annual Review of Sociology, 9, 265-285.
Collier, J. (2004). Self-organization, Individuation and Identity. Revue Internationale
de Philosophie, 59, 151-172.
Coser, R. L. (1975). The complexity of roles as a seedbed of individual autonomy. In L. A. Coser (Ed.), The idea of social structure. Papers in honor of Robert K.
Merton (pp. 237-264). New York/Chicago: Harcourt Brace Jovanovich.
Cozzens, S. (1985). Comparing the Sciences: Citation Context Analysis of Papers from Neuropharmacology and the Sociology of Science’ Social Studies of
Science 15(1): 127-153.
Cozzens, S. E., & Leydesdorff, L. (1993). Journal Systems as Macro-Indicators of Structural Change in the Sciences. In A. F. J. Van Raan, R. E. de Bruin, H. F. Moed, A. J. Nederhof & R. W. J. Tijssen (Eds.), Science and Technology in a
Policy Context (pp. 219-233). Leiden: DSWO/Leiden University.
Cronin, B. (1984). The Citation process: the role and significance of citations in
scientific communication. London: Taylor Graham.
Dolfsma, W., & Leydesdorff, L. (2009). Lock-in & Break-out from Technological Trajectories: Modeling and policy implications. Technological Forecasting
127 Ebbesen, T. W., Ajayan, P. M. (1992), Large scale synthesis of carbon nanotubes.
Nature, 358 (6383), 220–222.
Edge, D. (1979). Quantitative Measures of Communication in Science: A Critical Review. History of Science, 17(36), 102-134.
Elkana, Y., Lederberg, J., Merton, R. K., Thackray, A., & Zuckerman, H. (1978).
Toward a Metric of Science: The advent of science indicators. New York, etc.:
Wiley.
Elliott, J. M. (1977). Some methods for the statistical analysis of samples of benthic
invertebrates. (2nd edition) (Vol. 25). Ambleside, England: Freshwater
Biological Association Scientific Publication.
Etzkowitz, H., & Leydesdorff, L. (2000). The Dynamics of Innovation: From National Systems and ‘Mode 2’ to a Triple Helix of University-Industry-Government Relations. Research Policy, 29(2), 109-123.
Frenken, K., & Leydesdorff, L. (2000). Scaling Trajectories in Civil Aircraft (1913-1970). Research Policy, 29(3), 331-348.
Fröhlich, G. (1996). The (Surplus) Value of Scientific Communication. Review of
Infomation Science, I (2), 1-13. Retrieved from:
http://www.iwp.jku.at/lxe/wt2k/pdf/SurPlusValueScienComm.pdf (September 18, 2006)
Fujigaki, Y. (1998a). Filling the Gap between the Discussion on Science and Scientists’ Everyday Activities: Applying the Autopoiesis System Theory to Scientific Knowledge, Social Science Information 37(1), 5-22.
Fujigaki, Y. (1998b). The Citation System: Citation Networks as Repeatedly Focusing on Difference, Continuous Re-Evaluation, and Persistent Knowledge Accumulation, Scientometrics, 43(1), 77-85.
Garfield, E. (1955). Citation Indexes for Science. Science, 122(3159), 108-111. Garfield, E. (1963). Citation indexes in sociological and historical research. American
Documentation, 14(4), 289-291.
Garfield, E. (1972). Citation Analysis as a Tool in Journal Evaluation. Science, 178(4060), 471-479.
Garfield, E. (1973). Historiographs, librarianship, and the history of science. Essays of
an Information Scientist, 2, 134-135.
Garfield, E. (1975). The “obliteration phenomenon” in science—and the advantage of being obliterated. Essays of an Information Scientist, 2, 396-398.
Garfield, E. (1979). Citation Indexing: Its Theory and Application in Science,
Technology, and Humanities. New York: John Wiley.
Garfield, E. (2001). From computational linguistics to algorithmic historiography .Lazerow Lecture held in conjunction with panel on "Knowledge and Language: Building large-scale knowledge bases for intelligent applications" presented at the University of Pittsburgh on September 19, 2001. Retrieved from http://garfield.library.upenn.edu/papers/pittsburgh92001.pdf (July 10, 2007)
Garfield, E. (2009). From information retrieval to scientometrics? is the dog still wagging its tail?. Lecture held in Fifth International Conference on WIS & Tenth COLLNET Meeting September 13-16, 2009, Dalian, China. Retrieved from http://www.garfield.library.upenn.edu/papers/dalianchina2009.html
(February 16, 2010)
Garfield, E., Sher, I. H., & Torpie, R. J.(1964). The Use of Citation Data In Writing
Garfield, E., Pudovkin, A.I., & Istomin, V.S. (2003a). Why do we need algorithmic historiography? Journal of the American Society for Information Science and
Technology, 54 (5), 400 – 412.
Garfield, E., Pudovkin, A.I., & Istomin, V.S. (2003b). Mapping the Output of Topical Searches in the Web of Knowledge and the Case of Watson-Crick.
Information Technology and Libraries, 22(4), 183-187
Garfield, E. Pudovkin A.I., Istomin V.S (2005). Algorithm Citation Linked Histography –Mapping the Literature of Science, Proceedings of the American
Society for Information Science and Technology 38(1): 14-24.
Giddens, A. (1976). New Rules of Sociological Method. London: Hutchinson. Giddens, A. (1979). Central Problems in Social Theory. London, etc.: Macmillan. Giddens, A. (1981). Agency, Institution and Time-Space Analysis. In K. Knorr Cetina
& A.V. Cicourel (Ed.), Advances in Social Theory and Methodology, Towards
an Integration of Micro- and Macro-Sociologies (pp. 161-174). Boston, MA:
Routledge & Kegan Paul.
Giddens, A. (1984). The Constitution of Society. Cambridge: Polity Press. Giddens, A. (1990). The Consequences of Modernity. Cambridge: Polity Press. Gilbert, G. N. (1976). The Transformation of Research Findings into Scientific
Knowledge. Social Studies of Science, 6 (3-4), 281-306.
Gilbert, G. N., & Mulkay, M. J. (1984). Opening Pandora's Box. A Sociological
Analysis of Scientists’ Discourse. Cambridge: Cambridge University Press.
Griffith, B.C., Small, H.G., Stonehill, J.A., Dey, S. (1974). The Structure of Scientific Literatures II: Toward a Macro- and Microstructure for Science. Science
Studies, 4 (4), 339-365.
Guo,T., Nikolaev, P., Rinzler, A., TomBnek, D., Colber, D., Smalley, R. (1995), Self-Assembly of Tubular Fullerenes. Journal of Physical Chemistry 99, 10694-10697
Hackett, E., Amsterdamska, O., Lynch, M., & Wajcman, J. (2008). New Handbook of
Science, Technology, and Society. Cambridge, MA: MIT Press.
Harris, F.P.J. (2009). Carbon Nanotube Science: Synthesis, Properties and
Applications. Cambridge: Cambridge University Press.
He, C., & Pao, M. L. (1986). A Discipline-Specific Journal Selection Algorithm.
Information Processing & Management, 22(5), 405-416.
Heimeriks, G., Leydesdorff, L., & Van den Besselaar, P. (2000). Distributed Scientific
Communication in the European Information Society: Some cases of "mode 2" fields of research. Paper presented at Science & Technology Indicators
Conference, Leiden, May 24-27, 2000.
Heimeriks G. & Vasileiadou E (2008). Changes or Transition? Analysing the use of ICTs in sciences, Social Science Information 47(1): 5-29
Hellsten, I.; Leydesdorff, L. (2005). Metaphors and diaphors in science communication: mapping the case of stem cell research. Science
Communication 27(1),64-99
Hellsten, I., Leydesdorff, L., & Wouters, P. (2006). Multiple Presents: How Search Engines Re-write the Past. New Media & Society, 8(6), 901-924.
Hesse, M. (1980). Revolutions and Reconstructions in the Philosophy of Science. Harvester Press, London.
Hjorland, B., & Albrechtsen, H. (1995). Toward a new horizon in information science: Domain analysis. Journal of the American Society for Information
129 Hummon, N.P., & Doreian, P. (1989). Connectivity in a citation network: The
development of DNA theory. Social Networks, 11 (1), 39-63.
Husserl, E. (1929). Cartesianische Meditationen und Pariser Vorträge [Cartesian meditations and the Paris lectures]. The Hague: Martinus Nijhoff, 1973.
Iijima, S. (1991). Helical microtubules of graphitic carbon. Nature, 354 (6348), 56-58. Iijima, S. (2002a). Carbon nanotubes: past, present and future. Physica B, 323 (1-4),
1-5.
Iijima, S. (2002b). The Carbon Nanotube a Product of Nanotechnology. Aichi Voice
15; Retrieved from
http://www2.aia.pref.aichi.jp/voice/no15/15_cutting_edge.html (November 30, 2008)
Iijima, S (2005). The discovery of carbon nanotubes - Guided by serendipity. Retrieved from http://www.nec.co.jp/rd/Eng/innovative/E1/01.html
(November 30, 2008.)
Jakulin, A. (2005). Machine learning based on attribute interactions. Unpublished PhD. Thesis, University of Ljubljana. Retrieved from
http://stat.columbia.edu/~jakulin/Int/jakulin05phd.pdf (March 28, 2009) Jakulin, A., & Bratko, I. (2004). Quantifying and Visualizing Attribute Interactions:
An Approach Based on Entropy. Retrieved from: http://arxiv.org/abs/cs.AI/0308002 (November 27, 2008).
Johnson, B., Lorenz, E., & Lundvall, B.A. (2002). Why all this fuss about Codified and Tacit Knowledge? Industrial and Corporate Change, 11 (2), 245-262 Kamada, T., & S. Kawai (1989). An Algorithm for Drawing General Undirected
Graphs. Information Processing Letters, 31(1), 7-15.
Knorr Cetina, K. (1981). The Manufacture of Knowledge. Oxford: Pergamon Press Knorr-Cetina, K. (1999). Epistemic Cultures: How the Sciences Make Knowledge.
Cambridge, MA: Harvard University Press.
Knorr-Cetina, K. & Cicourel, A.V. (Eds.).(1981). Advances in Social Theory and
Methodology, Towards an Integration of Micro- and Macro-Sociologies.
Boston, MA: Routledge & Kegan Paul.
Kranakis, E. & Leydesdorff, L.(1989) Teletraffic conferences: Studying a field of engineering science, Scientometrics, 15 (5-6), 563–591.
Krippendorff, K. (2009). Ross Ashby’s information theory: a bit of history, some solutions to problems, and what we face today, International Journal of
General Systems, 38(2), 189-212.
Kroto, H.W. (1987). The stability of the fullerenes 24, 28, 32, 36, 50, C-60 and C-70. Nature, 329 (6139), 529–531.
Kroto, H. W., Heath, J. R., O'Brien, S. C., Curl, R. F., & Smalley, R. E.(1985). C60: Buckminsterfullerene. Nature, 318 (6042), 162-163.
Kuhn, T. S. (1962). The Structure of Scientific Revolutions. Chicago: University of Chicago Press.
Kullback, S., & Leibler, R. A. (1951). On Information and Sufficiency. The Annals of
Mathematical Statistics, 22(1), 79-86.
Lakatos, I. (1970). Falsification and the Methodology of Scientific Research Programmes. In I. Lakatos & A. Musgrave (Eds.), Criticism and the Growth of
Knowledge (pp. 91-196.). Cambridge: Cambridge University Press.
Lakatos, I., & Musgrave, A. (Eds.). (1970). Criticism and the Growth of Knowledge Cambridge: Cambridge University Press.
Latour, B. & Woolgar, S. (1979). Laboratory Life: The Social Construction of Scientific Facts. London/Beverly Hills: Sage.
Law, J. (1986). The Heterogeneity of Texts. In M. Callon, J. Law & A. Rip (Eds.),
Mapping the Dynamics of Science and Technology (pp. 67-83). London:
Macmillan.
Law, J., & Lodge, P. (1984). Science for Social Scientists. London, etc.: Macmillan. Leydesdorff, L. (1987). Various Methods for the Mapping of Science. Scientometrics,
11 (5-6), 291-320.
Leydesdorff, L. (1989). Words and Co-Words as Indicators of Intellectual Organization. Research Policy, 18(4), 209-223.
Leydesdorff, L. (1991a). In Search of Epistemic Networks. Social Studies of Science, 21(1), 75-110.
Leydesdorff, L. (1991b). The Static and Dynamic Analysis of Network Data Using Information Theory. Social Networks, 13 (4), 301-345.
Leydesdorff, L. (1993). ‘Structure’/‘Action’ Contingencies and the Model of Parallel Processing. Journal for the Theory of Social Behaviour, 23(1), 47-77.
Leydesdorff, L. (1995) The Challenge of Scientometrics: The development,
measurement, and self-organization of scientific communications. DSWO
Press/Leiden University, Leiden; at
http://www.upublish.com/books/leydesdorff-sci.htm .
Leydesdorff, L. (1997a). Sustainable Technological Developments and Second-Order Cybernetics. Technology Analysis & Strategic Management, 9(3), 329-341. Leydesdorff, L. (1997b). Why Words and Co-Words Cannot Map the Development of
the Sciences? Journal of the American Society for Information Science, 48(5), 418-427.
Leydesdorff, L. (1998). Theories of Citation? Scientometrics, 43(1), 5-25.
Leydesdorff, L. (2000). Luhmann, Habermas, and the Theory of Communication.
Systems Research and Behavioral Science, 17(3), 273-288.
Leydesdorff, L. (2002). Some Epistemological Implications of Semiosis in the Social Domain. Semiotics, Evolution, Energy, and Development (SEED) Journal, 2(3), 60-83.
Leydesdorff, L. (2003). A Sociological Theory of Communication: The Self-Organization of the Knowledge-Based Society. Parkland, FL: Universal Publishers / uPublish.com; at http://www.universal-publishers.com/book.php?method=ISBN&book=1581126956
Leydesdorff, L. (2005). Similarity Measures, Author Cocitation Analysis, and Information Theory. Journal of the American Society for Information Science
and Technology, 56(7), 769-772.
Leydesdorff, L. (2006). The Knowledge-Based Economy: Modeled, Measured,
Simulated. Boca Raton, FL: Universal Publishers.
Leydesdorff, L. (2007a). Mapping Interdisciplinarity at the Interfaces between the Science Citation Index and the Social Science Citation Index. Scientometrics, 71(3), 391-405.
Leydesdorff, L. (2007b). Scientific Communication and Cognitive Codification: Social Systems Theory and the Sociology of Scientific Knowledge. European
Journal of Social Theory 10(3), 375-388.
Leydesdorff, L. (2008). Configurational Information as Potentially Negative Entropy: The Triple Helix Model. Entropy, 10(4), 391-410; available at Retrieved from
131 Leydesdorff, L. (2009a). Interaction Information: Linear and Nonlinear
Interpretations. International Journal of General Systems, 38(6), 681-685. Leydesdorff, L. (2009b). The Non-linear Dynamics of Meaning-Processing in Social
Systems. Social Science Information, 48(1), 5-33.
Leydesdorff, L., & Amsterdamska, O. (1990). Dimensions of Citation Analysis.
Science, Technology & Human Values, 15(3), 305-335.
Leydesdorff, L., Cozzens, SE (1993), The Delineations of Specialities in terms of Journals Using The Dynamic Journal Set of the SCI, Scientometrics 26(1), 133-54.
Leydesdorff, L., Cozzens, S. and Van den Besselaar, P. (1994). Tracking Areas of Strategic Importance using Scientometric Journal Mappings, Research Policy 23(2), 217-229.
Leydesdorff, L., & Van den Besselaar, P. (1997). Scientometrics and Communication Theory: Towards Theoretically Informed Indicators. Scientometrics, 38(1), 155-174.
Leydesdorff, L., & Wouters, P. (1999). Between Texts and Contexts: Advances in Theories of Citation. Scientometrics, 44(2), 169-182.
Leydesdorff, L. & Hellsten, I. (2005). Metaphors and diaphors in science communication: Mapping the case of ‘stem-cell research’. Science
Communication, 27(1), 64-99.
Leydesdorff, L. and M. Fritsch (2006). Measuring the Knowledge Base of Regional Innovation Systems in Germany in terms of a Triple Helix Dynamics.
Research Policy, 35(10): 1538-1553.
Leydesdorff, L., & Sun, Y. (2009). National and International Dimensions of the Triple Helix in Japan: University-Industry-Government versus International Co-Authorship Relations. Journal of the American Society for Information
Science and Technology, 60(4),778-788 (2009).
Lucio-Arias, D., & Leydesdorff, L. (2007). Knowledge emergence in scientific communication: from “fullerenes” to “nanotubes”. Scientometrics, 70(3), 603-632.
Lucio-Arias, D., & Leydesdorff, L. (2008). Main-path analysis and path-dependent transitions in HistCite™-based historiograms. Journal of the American Society
for Information Science and Technology, 59(12), 1948-1962.
Lucio-Arias, D., & Leydesdorff, L. (2009a). The Dynamics of Exchanges and References among Scientific Texts, and the Autopoiesis of Discursive Knowledge. Journal of Informetrics, 3(3), 261-271.
Lucio-Arias, D., & Leydesdorff, L. (2009b). An Indicator of Research Front Activity: Measuring Intellectual Organization as Uncertainty Reduction in Document Sets. Journal of the American Society for Information Science and
Technology, 60 (12), 2488-2499
Luhmann, N. (1986). The Autopoiesis of Social Systems. In F. Geyer & J. v. d. Zouwen (Eds.), Sociocybernetic Paradoxes (pp. 172-192). London: Sage Luhmann, N. (1990a). The Cognitive Program of Constructivism and a Reality that
Remains Unknown. In W. Krohn, G. Küppers & H. Nowotny (Eds.),
Selforganization. Portrait of a Scientific Revolution (pp. 64-85). Dordrecht:
Reidel.
Luhmann, N. (1990b). Die Wissenschaft der Gesellschaft. Frankfurt a.M.: Suhrkamp. Luhmann, N. (1995). Social Systems. Stanford, CA: Stanford University Press.
Luhmann, N. (2002a). How Can the Mind Participate in Communication? In W. Rasch (Ed.), Theories of Distinction: Redescribing the Descriptions of
Modernity (pp. 169–184). Stanford, CA: Stanford University Press.
Luhmann, N. (2002b). The Modern Sciences and Phenomenology. In W. Rasch (Ed.),
Theories of Distinction: Redescribing the descriptions of modernity (pp.
33-60). Stanford, CA: Stanford University Press.
Lux Research Report (2005) Nanotechnology Gold Rush Yields Crowded, Entangled Patents; at: http://www.luxresearchinc.com/
MacRoberts, M.H., & MacRoberts, B.R. (1987). Testing the Ortega Hypothesis: Facts and Artifacts. Scientometrics, 12(5-6), 293-295.
MacRoberts, M. H. & MacRoberts, B. R. (1989). Problems of citation analysis: A critical review, Journal of the American Society for Information Science, 40(5), 342–349.
Masterman, M. (1970). The nature of a paradigm. In I. Lakatos & A. Musgrave (Eds.), Criticism and the Growth of Knowledge (pp. 59–89). Cambridge, MA: Cambridge University Press.
Maturana, H.R. (1988). The search for objectivity or the quest for a compelling argument. Irish Journal of Psychology, 9 (1), 25-82.
Maturana, H. R. (2000). The Nature of the Laws of Nature. Systems Research and
Behavioural Science, 17(5), 459-468.
Maturana, H. R., & Varela, F. J. (1980). Autopoiesis and Cognition: The Realization
of the Living. Boston: Reidel.
Maturana, H. R, & Varela, F. J. (1992). The tree of knowledge: The biological roots of
human understanding (rev. ed.). Boston: Shambhala.
McGill, W. J. (1954). Multivariate information transmission. Psychometrika, 19(2), 97-116.
McGill, W. J., & Quastler, H. (1955). Standardized nomenclature: An attempt. In H. Quastler (Ed.), Information Theory in Psychology: Problems and Methods (pp. 83–92). Woodbury, NY: The Free Press.
Mei, Q., & Zhai, C. (2005). Discovering evolutionary theme patterns from text – an exploration of temporal text mining. Proceedings of the 2005 ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining, (KDD'05 ), Chicago, Illinois, 198-207.
Merton, R. K. (1968). Social Theory and Social Structure. New York: Free Press. Merton, R. K. (1973). The Sociology of Science: Theoretical and Empirical
Investigations. Chicago: University of Chicago Press.
Merton, R.K. (1979). “Foreword,” in: E. Garfield, Citation Indexing – Its Theory and Application in Science, Technology, and Humanities (pp. v-vi). Philadelphia:
ISI Press
Meyer, M. & Persson, O., (1998), ‘Nanotechnology:’ interdisciplinarity, patterns of collaboration and differences in application’, Scientometrics, 42(2), 195-205. Mingers, J., (2002), Can social systems be autopoietic? Assessing Luhmann’s social
theory, The Sociological Review, 50 (2), 278-299.
Moed, H. F., Glänzel, W., & Schmoch, U. (2004). Handbook of Quantitative Science
and Technology Research: The Use of Publication and Patent Statistics in Studies of S & T Systems. Dordrecht, etc.: Springer.
Morgan, G. (1986). Images of organization. Thousand Oaks,CA: SAGE Publications,
133 Mulkay, M., Potter, J., & Yearley, S. (1983). Why an Analysis of Scientific Discourse
is Needed. In K. D. Knorr & M. J. Mulkay (Eds.), Science Observed:
Perspectives on the Social Study of Science (pp. 171-204.). London: Sage.
Myers, G. (1985). Texts as Knowledge Claims: The Social Construction of Two Biology Articles. Social Studies of Science, 15(3), 593-630.
Nelson, R. R., & Winter, S. G. (1977). In Search of Useful Theory of Innovation.
Research Policy, 6(1), 36-76.
Nelson, R. R., & Winter, S. G. (1982). An Evolutionary Theory of Economic Change. Cambridge, MA: Belknap Press of Harvard University Press.
Newton-Smith, W.H. (2001). A Companion to the Philosophy of Science. Malden, MA: Blackwell Publishers Ltd.
Obama, B.H. (2008). Change That Works for You. Retrieved from:
http://www.barackobama.com/2008/06/09/remarks_of_senator_barack_obam_ 76.php (retrieved on January 14, 2010)
Persson, O. (1994). The intellectual base and research fronts of JASIST 1986-1990,
Journal of the American Society for Information Science and Technology,
45(1),31-38.
Pinch, T. J. (1985). Towards an Analysis of Scientific Observation: The Externality and Evidential Significance of Observational Reports in Physics,. Social
Studies of Science 15(1), 3-36.
Popper, K. R. ([1935] 1959). The Logic of Scientific Discovery. London: Hutchinson. Price, D. J. de Solla (1963). Little Science, Big Science. New York: Columbia
University Press.
Price, D.J. de Solla (1965). Networks of scientific papers. Science, 149 (3683), 510-515
Price, D. J. de Solla (1970). Citation Measures of Hard Science, Soft Science, Technology, and Nonscience. In C. E. Nelson & D. K. Pollock (Eds.),
Communication among Scientists and Engineers (pp. 3-22). Lexington, MA:
Heath.
Price, D.J. de Solla (1978). Toward a Model for Science Indicators. In Y. Elkana, J. Lederberg, R.K. Merton, A. Thackray, & H. Zuckerman, H. Toward a Metric
of Science: The advent of science indicators. New York, etc.: Wiley.
Price, D. J. de Solla (1981). The Analysis of Square Matrices of Scientometric Transactions. Scientometrics, 3 (1), 55-63.
Price, D. J. de Solla (1984). The science/technology relationship, the craft of experimental science, and policy for the improvement of high technology innovation. Research Policy, 13(1), 3-20.
Prigogine, I., & Stengers, I. (1984). Order Out of Chaos. New York: Bantam.
Pudovkin, A. I., & Garfield, E. (2002). Algorithmic procedure for finding semantically related journals. Journal of the American Society for Information
Science and Technology, 53(13), 1113-1119.
Rotmans, J., Kemp, R., van Asselt, M. (2001). More Evolution than Revolution: transition management in public policy. Foresight, 3(1),15-31.
Salton, G., & MJ McGill. (1983). Introduction to Modern Information Retrieval. Auckland, etc.: McGraw-Hill.
Saussure, Ferdinand de (2006). Writings in General Linguistics, Oxford: Oxford University Press.
Scheffer, M., Bascompte, J., Brock, W.A., Brovkin, V., Carpenter, S.R., Dakos, V., Held, H., van Nes, E.H., Rietkerk, M., & Sugihara, G. (2009). Early-warning signals for critical transitions. Nature, 461(7260), 53-59
Schmoch, U. (1997). Indicators and the Relations between Science and Technology.
Scientometrics, 38(1), 103-116.
Schummer, J. (2004). Multidisciplinarity, Interdisciplinarity, and Patterns of Research Collaboration in Nanoscience and Nanotechnology. Scientometrics, 59 (3), 425-465.
Shannon, C. E. (1948). A Mathematical Theory of Communication. Bell System
Technical Journal, 27, 379-423.
Shannon, C.E., & Weaver, W. (1949). The mathematical theory of communication. Urbana, IL: The University of Illinois Press.
Simon, H. A. (1973). The Organization of Complex Systems. In H. H. Pattee (Ed.),
Hierarchy Theory: The Challenge of Complex Systems (pp. 1-27). New York:
George Braziller Inc.
Small, H.G. (1973). Co-citation in the Scientific literature: A New Measure of the Relationship Between Two Documents. Journal of the American Society for
Information Science,. 24 (4), 265-269.
Small, H.G. (1978). Cited Documents as Concept Symbols. Social Studies of Science, 8(3), 327-340.
Small, H. G., & Griffith, B. C. (1974). The structure of scientific literatures, I: Identifying and graphing specialties. Science Studies , 4, 17-40.
Smolensky, P. (1986). Information Processing in Dynamical Systems: Foundation of Harmony Theory. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. I, pp. 194-281). Cambridge, MA/ London: MIT Press.
Spiegel-Rösing, I. (1973). Wissenschaftsentwicklung und Wissensschaftssteuerung. Frankfurt a.M.: Athenaeum Verlag.
Stewart , J.A. (1983). Achievement and Ascriptive Processes in the Recognition of Scientific Articles. Social Forces, 62 (1), 166-189.
Stichweh, R. (1990). Self-Organization and Autopoiesis in the Development of Modern Science. In: Krohn, W., Küppers, G., Nowotny, H. (Eds.),
Self-Organization: Portrait of a Scientific Revolution (pp.195-207). Dordrecht:
Reidel,.
Stigler, S.M. (1987). Precise Measurement in the face of error, Social Studies of
Science, 17(2), 332-334.
Sun, Y., & Negishi, M. (2008). Measuring relationships among university, industry and the other sectors in Japan’s national innovation system. 10th International
Conference on Science and Technology Indicators , J. Gorraiz & E. Schiebel
(Eds.), (pp. 169-171) Vienna, 17-20 September 2008: Austrian Research Centers..
Teil, G. & Latour, B. (1995), The Hume machine. Can association networks do more than formal rules? Stanford Electronic Humanities Review 4(2), Retrieved from: http://www.stanford.edu/group/SHR/4-2/text/teil-latour.html.
Terekhov A.I., Efremenkova V.M., Stankevich I.V., Krukovskaya N.V., & Terekhov A.A. (2006). Information Resources for Evaluating the Development of Research Direction – ‘Fullerenes’, Fullerenes, Nanotubes and Carbon
Nanostructures, 14(2), 579-584.
Theil, H. (1972). Statistical Decomposition Analysis. Amsterdam: North-Holland. Tománek, D. (2008). Preface to Carbon Nanotubes: Advanced Topics in the
Synthesis, Structure, Properties and Applications, In: A. Jorio, M.S. Dresselhaus, G. Dresselhaus, (Eds.), Topics in Applied Physics, Vol. 111, (pp. xi-xiii). Berlin.
135 Ulanowicz, R. E. (1997). Ecology, The Ascendent Perspective. New York: Columbia
University Press.
Van den Besselaar, P. (2000). Communication between Science and Technology Studies journals. Scientometrics, 47(2), 169-193.
Van den Besselaar, P. (2001). The cognitive and the social structure of Science and Technology Studies. Scientometrics 51(2), 441-460.
Van den Besselaar, P., & Heimeriks, G. (2006). Mapping research topics using word-reference co-occurrences: A method and an exploratory case study.
Scientometrics, 68(3), 377-393.
Varela, F. J., Maturana, H. R., & Uribe, R. (1974). Autopoiesis: the organization of living systems, its characterization and a model. Biosystems, 5(4), 187–196. Vinkler,P. (1996). Relationships between the rate of scientific development and
citations. The chance for citedness model. Scientometrics, 35(3), 375–386. White, H. D., & McCain, K. W. (1998). Visualizing a discipline: An author
co-citation analysis of information science, 1972-1995. Journal of the American
Society for Information Science, 49(4), 327-356
White, H.D., Wellman, B. & Nazer, N. (2004). Does citation reflect social structure?
Journal of the American Society for Information Science, 55(2), 111-26.
Whitley, R. ([1984], 2000). The Intellectual and Social Organization of the Sciences. Oxford: Clarendon Press.
Willett, P. (2006) The Porter stemming algorithm: then and now. Program, electronic
library and information systems, 40 (3), 219-223.
Wouters, P. (1999a). Beyond the Holy Grail: From citation theory to indicator
theories. Scientometrics, 44 (3), 561-580.
Wouters, P. (1999b). The Citation Culture. Amsterdam: Unpublished Ph.D. Thesis, University of Amsterdam.
Yeung, R. W. (2008). Information Theory and Network Coding. New York, NY: Springer. Retrieved from http://iest2.ie.cuhk.edu.hk/~whyeung/post/main2.pdf
(November 11, 2008).
Yin, L., Kretschmer, H., Hanneman, R A., & Liu, Z. (2006). The evolution of a citation network topology: The development of the journal Scientometrics. Proceedings International Workshop on Webometrics, Informetrics and
Scientometrics & Seventh COLLNET Meeting, Nancy, France.
SRDI-INIST-CNRS, 92-113
Zuckerman, H. (1987). Citation Analysis and the Complex Problem of Intellectual Influence. Scientometrics, 12(5-6), 329-338