Towards an explanatory and computational theory of scientific discovery

[1]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[2]  WILLIAM GOFFMAN,et al.  Generalization of Epidemic Theory: An Application to the Transmission of Ideas , 1964, Nature.

[3]  H. Zuckerman Nobel laureates in science: patterns of productivity, collaboration, and authorship. , 1967, American sociological review.

[4]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[5]  WILLIAM GOFFMAN,et al.  Mathematical Approach to the Prediction of Scientific Discovery , 1971, Nature.

[6]  N. Mullins,et al.  Coherent social groups in scientific change. , 1972, Science.

[7]  M. Nowakowska Epidemical spread of scientific objects: An attempt of empirical approach to some problems of meta-science , 1973 .

[8]  P. Weingart On a Sociological Theory of Scientific Change , 1974 .

[9]  D. Chubin State of the Field The Conceptualization of Scientific Specialties , 1976 .

[10]  N. Mullins,et al.  The Group Structure of Cocitation Clusters: A Comparative Study , 1977 .

[11]  Diana Crane,et al.  Invisible colleges. Diffusion of knowledge in scientific communities , 1972, Medical History.

[12]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[13]  M. Kaufman,et al.  Establishment in culture of pluripotential cells from mouse embryos , 1981, Nature.

[14]  A. Brannigan,et al.  Historical Distributions of Multiple Discoveries and Theories of Scientific Change , 1983 .

[15]  H. Simon,et al.  Studying Scientific Discovery by Computer Simulation , 1983, Science.

[16]  B. Marshall,et al.  UNIDENTIFIED CURVED BACILLI IN THE STOMACH OF PATIENTS WITH GASTRITIS AND PEPTIC ULCERATION , 1984, The Lancet.

[17]  J. D. Sterman,et al.  The growth of knowledge: testing a theory of scientific revolutions with a formal model , 1985 .

[18]  D. Swanson Undiscovered Public Knowledge , 1986 .

[19]  D. Swanson Fish Oil, Raynaud's Syndrome, and Undiscovered Public Knowledge , 2015, Perspectives in biology and medicine.

[20]  H. Czerwon,et al.  Quantized hall effect publication and citation follow-ups of a nobel prize discovery , 1986 .

[21]  Don R. Swanson,et al.  Two medical literatures that are logically but not bibliographically connected , 1987, J. Am. Soc. Inf. Sci..

[22]  D. Swanson Migraine and Magnesium: Eleven Neglected Connections , 2015, Perspectives in biology and medicine.

[23]  田中 正,et al.  SUPERSTRING THEORY , 1989, The Lancet.

[24]  Norman P. Hummon,et al.  Connectivity in a citation network: The development of DNA theory☆ , 1989 .

[25]  E. Garfield,et al.  Of Nobel class: A citation perspective on high impact research authors , 1992, Theoretical medicine.

[26]  B. Lindahl,et al.  Discovery, theory change, and the Nobel prize: On the mechanisms of scientific evolution. an introduction , 1992, Theoretical medicine.

[27]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[28]  K. Schaffner Theory change in immunology part I: Extended theories and scientific progress , 1992, Theoretical medicine.

[29]  Herbert A. Simon Scientific discovery as problem solving , 1992 .

[30]  Kevin Dunbar,et al.  Concept Discovery in a Scientific Domain , 1993, Cogn. Sci..

[31]  S. Brush Dynamics of Theory Change: The Role of Predictions , 1994, PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association.

[32]  R. Mayer The search for insight: Grappling with gestalt psychology''s unanswered questions , 1995 .

[33]  S. Brush PREDICTION AND THEORY EVALUATION IN PHYSICS AND ASTRONOMY , 1995 .

[34]  D. Siegel,et al.  No Truth Except in the Details , 1995 .

[35]  D. Perkins Insight in minds and genes , 1995 .

[36]  D. Swanson,et al.  Indomethacin and Alzheimer's disease , 1996, Neurology.

[37]  Abraham Silberschatz,et al.  What Makes Patterns Interesting in Knowledge Discovery Systems , 1996, IEEE Trans. Knowl. Data Eng..

[38]  T. Valente Social network thresholds in the diffusion of innovations , 1996 .

[39]  The nature of insight , 1996 .

[40]  G. Holton,et al.  HOW A SCIENTIFIC DISCOVERY IS MADE : A CASE HISTORY , 1996 .

[41]  T. Kuhn The structure of scientific revolutions, 3rd ed. , 1996 .

[42]  Michael D. Gordon,et al.  Toward Discovery Support Systems: A Replication, Re-Examination, and Extension of Swanson's Work on Literature-Based Discovery of a Connection between Raynaud's and Fish Oil , 1996, J. Am. Soc. Inf. Sci..

[43]  H. Radder Philosophy and history of science: beyond the Kuhnian paradigm , 1997 .

[44]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[45]  Katherine Giuffre Sandpiles of Opportunity: Success in the Art World , 1999 .

[46]  Henry G. Small,et al.  A Passage Through Science: Crossing Disciplinary Boundaries , 1999, Libr. Trends.

[47]  Neil R. Smalheiser,et al.  Implicit Text Linkages between Medline Records: Using Arrowsmith as an Aid to Scientific Discovery , 1999, Libr. Trends.

[48]  Michael D. Gordon,et al.  Literature-Based Discovery by Lexical Statistics , 1999, J. Am. Soc. Inf. Sci..

[49]  David F. Channell Pasteur's Quadrant: Basic Science and Technological Innovation , 1999 .

[50]  H. Simon,et al.  Studies of Scientific Discovery: Complementary Approaches and Convergent Findings , 1999 .

[51]  B. Cronin,et al.  The web of knowledge: a festschrift in honor of Eugene Garfield , 2000 .

[52]  N. Mclaughlin The sociology of philosophies: A global theory of intellectual change , 2000 .

[53]  M. Newman,et al.  The structure of scientific collaboration networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[54]  Howard J. Hamilton,et al.  Knowledge discovery and measures of interest , 2001 .

[55]  U. Brandes A faster algorithm for betweenness centrality , 2001 .

[56]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[57]  T. Snijders The statistical evaluation of social network dynamics , 2001 .

[58]  Jaideep Srivastava,et al.  Selecting the right interestingness measure for association patterns , 2002, KDD.

[59]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[60]  A. Barabasi,et al.  Evolution of the social network of scientific collaborations , 2001, cond-mat/0104162.

[61]  Daniel A. Keim,et al.  Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , 2002, KDD.

[62]  Ben Shneiderman,et al.  The Craft of Information Visualization: Readings and Reflections , 2003 .

[63]  Chaomei Chen,et al.  The rising landscape: A visual exploration of superstring revolutions in physics , 2003, J. Assoc. Inf. Sci. Technol..

[64]  Chaomei Chen,et al.  Searching for intellectual turning points: Progressive knowledge domain visualization , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[65]  Clark Glymour,et al.  The automation of discovery , 2004, Daedalus.

[66]  L. Laudan,et al.  Scientific change: Philosophical models and historical research , 1986, Synthese.

[67]  S. Redner Citation Statistics From More Than a Century of Physical Review , 2004, physics/0407137.

[68]  Jesper W. Schneider,et al.  Mapping scientific frontiers: The quest for knowledge visualization , 2004, J. Assoc. Inf. Sci. Technol..

[69]  Jon M. Kleinberg,et al.  Bursty and Hierarchical Structure in Streams , 2002, Data Mining and Knowledge Discovery.

[70]  Robert L. Goldstone,et al.  The simultaneous evolution of author and paper networks , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[71]  R. Burt Structural Holes and Good Ideas1 , 2004, American Journal of Sociology.

[72]  S. Pincock Nobel Prize winners Robin Warren and Barry Marshall , 2005, The Lancet.

[73]  R. Lambiotte,et al.  From sand to networks: a study of multi-disciplinarity , 2005, physics/0508234.

[74]  Werner Ebeling,et al.  The application of evolution models in scientometrics , 2005, Scientometrics.

[75]  D. Sullivan,et al.  Understanding rapid theoretical change in particle physics: A month-by-month co-citation analysis , 1980, Scientometrics.

[76]  Henry G. Small,et al.  Specialties and disciplines in science and social science: An examination of their structure using citation indexes , 1979, Scientometrics.

[77]  P. Sandstrom Scholars as Subsistence Foragers , 2005 .

[78]  Ben Shneiderman,et al.  Leonardo's laptop: human needs and the new computing technologies , 2005, CIKM '05.

[79]  J. E. Hirsch,et al.  An index to quantify an individual's scientific research output , 2005, Proc. Natl. Acad. Sci. USA.

[80]  J. Hirsch An index to quantify an individual's scientific output , 2005 .

[81]  J. Vlachý,et al.  Citation histories of scientific publications. The data sources , 1985, Scientometrics.

[82]  Roland Wagner-Döbler,et al.  William Goffman's “Mathematical approach to the prediction of scientific discovery” and its application to logic, revisited , 1999, Scientometrics.

[83]  Santo Fortunato,et al.  Scale-free network growth by ranking. , 2006, Physical review letters.

[84]  Howard J. Hamilton,et al.  Interestingness measures for data mining: A survey , 2006, CSUR.

[85]  Henry G. Small,et al.  Tracking and predicting growth areas in science , 2006, Scientometrics.

[86]  Chaomei Chen,et al.  CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature , 2006, J. Assoc. Inf. Sci. Technol..

[87]  B. Marshall Helicobacter Connections , 2006, ChemMedChem.

[88]  Carlos Castillo-Chavez,et al.  Report for the Office of Scientific and Technical Information: Population Modeling of the Emergence and Development of Scientific Fields , 2006 .

[89]  Patricia E. Tweet Brokerage and Closure: An Introduction to Social Capital , 2006 .

[90]  Thomas Heinze,et al.  Characterizing creative scientists in nano-S&T: Productivity, multidisciplinarity, and network brokerage in a longitudinal perspective , 2007, Scientometrics.

[91]  Loet Leydesdorff,et al.  Betweenness centrality as an indicator of the interdisciplinarity of scientific journals , 2007, J. Assoc. Inf. Sci. Technol..

[92]  Naoki Shibata,et al.  Topological analysis of citation networks to discover the future core articles , 2007, J. Assoc. Inf. Sci. Technol..

[93]  Philip Shapira,et al.  Identifying creative research accomplishments: Methodology and results for nanotechnology and human genetics , 2007, Scientometrics.

[94]  Ben Shneiderman,et al.  Creativity support tools: accelerating discovery and innovation , 2007, CACM.

[95]  Carlos Castillo-Chavez,et al.  Population modeling of the emergence and development of scientific fields , 2008, Scientometrics.

[96]  F. Schweitzer,et al.  Modeling Evolving Innovation Networks , 2007, 0712.2779.

[97]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[98]  L. Fleming,et al.  Collaborative Brokerage, Generative Creativity, and Creative Success , 2007 .

[99]  Marcel Ausloos,et al.  Drastic events make evolving networks , 2007 .

[100]  Ronald N. Kostoff,et al.  Literature-related discovery (LRD): Lessons learned, and future research directions , 2008 .

[101]  Jon M. Kleinberg,et al.  Tracing information flow on a global scale using Internet chain-letter data , 2008, Proceedings of the National Academy of Sciences.

[102]  Chaomei Chen,et al.  An Information-Theoretic View of Visual Analytics , 2008, IEEE Computer Graphics and Applications.

[103]  John Antonakis,et al.  Quantifying Scholarly Impact: IQp Versus the Hirsch h , 2008, J. Assoc. Inf. Sci. Technol..

[104]  Betsy Van der Veer Martens,et al.  Mapping research specialties , 2008, Annu. Rev. Inf. Sci. Technol..

[105]  E. Garfield,et al.  Long live the scientists: Tracking the scientific fame of great minds in physics , 2018, J. Informetrics.

[106]  Ronald N. Kostoff,et al.  Literature-related discovery , 2009, Annu. Rev. Inf. Sci. Technol..

[107]  Luís M. A. Bettencourt,et al.  Scientific discovery and topological transitions in collaboration networks , 2009, J. Informetrics.

[108]  Pamela Effrein Sandstrom,et al.  Information Foraging Theory: Adaptive Interaction with Information , 2010, J. Assoc. Inf. Sci. Technol..