Identifying the evolutionary process of emerging technologies: A chronological network analysis of World Wide Web conference sessions

Technological Forecasting and Social Change

Volumn 91, Issue , 2015, Pages 280-294

  Furukawa, Takao ^a   Mori, Kaoru ^b   Arino, Kazuma ^d   Hayashi, Kazuhiro ^c   Shirakawa, Nobuyuki ^b,c,d  

^a KYORITSU WOMEN'S UNIVERSITY   (Japan)

^b KEIO UNIVERSITY   (Japan)

^c NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY POLICY   (Japan)

^d NEW ENERGY AND INDUSTRIAL TECHNOLOGY DEVELOPMENT ORGANIZATION   (Japan)

Author keywords

Chronological network; Conference session; Emerging technology; Evolutionary process; Trend analysis

Indexed keywords

DATA MINING; SEMANTICS; SOCIAL NETWORKING (ONLINE);

COMPUTER-BASED APPROACH; CONFERENCE SESSIONS; EMERGING TECHNOLOGIES; EVOLUTIONARY PROCESS; SCIENTIFIC PUBLICATIONS; TEXT MINING TECHNIQUES; TREND ANALYSIS; WEB-BASED TECHNOLOGIES;

WORLD WIDE WEB;

CHRONOLOGY; NETWORK ANALYSIS; SOCIAL NETWORK; TECHNOLOGICAL DEVELOPMENT; TREND ANALYSIS; WORLD WIDE WEB;

EID: 84920180033     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2014.03.013     Document Type: Article

References (57)

1. Day G.S., Shoemaker P.J.H. A different game. Wharton on Managing Emerging Technologies 2004, 1-23. John Wiley and Sons Inc., Hoboken, New Jersey. G.S. Day, P.J.J. Shoemaker (Eds.).
2. Kostoff R.N., Schaller R.R. Science and technology roadmaps. IEEE Trans. Eng. Manag. 2001, 48(2):132-143.
3. Kostoff R.N., Boylan R., Simons G.R. Disruptive technology roadmaps. Technol. Forecast. Soc. Chang. 2004, 71(1):141-159.
4. Walsh S.T. Roadmapping a disruptive technology: a case study - the emerging microsystems and top-down nanosystems industry. Technol. Forecast. Soc. Chang. 2004, 71(1):161-185.
5. Zhang L., Glänzel W. Proceeding papers in journals versus the 'regular' journal publications. J. Informetrics 2012, 6(1):88-96.
6. Halpern J.Y., Parkes D.C. Journals for certification, conferences for rapid dissemination. Commun. ACM 2011, 54(8):36-38.
7. Mansfield E. Academic research and industrial innovation. Res. Policy 1991, 20(1):1-12.
8. Fleming L., Sorensen O. Science as a map in technological search. Strateg. Res. J. 2004, 25(8-9):909-928.
9. Lee S., Yoon B., Lee C., Park H. Business planning based on technological capabilities: patent and technology-driven roadmapping. Technol. Forecast. Soc. Chang. 2009, 76(6):769-786.
10. Small H. Co-citation in the scientific literature: a new measure of the relationship between two documents. J. Am. Soc. Inf. Sci. 1973, 24(4):265-269.
11. Small H. Visualizing science by citation mapping. J. Am. Soc. Inf. Sci. 1999, 50(9):799-813.
12. Gmür M. Co-citation analysis and the search for invisible colleges: a methodological evaluation. Scientometrics 2003, 57(1):27-57.
13. Glänzel W., Thijs B. Using 'core documents' for the representation of clusters and topics. Scientometrics 2011, 88(1):297-309.
14. Glänzel W., Thijs B. Using 'core documents' for detecting and labelling new emerging topics. Scientometrics 2012, 91(2):399-416.
15. Kajikawa Y., Yoshikawa J., Takeda Y., Matsushima K. Tracking emerging technologies in energy research: toward a roadmap for sustainable energy. Technol. Forecast. Soc. Chang. 2008, 75(6):771-782.
16. Kajikawa Y., Takeda Y. Structure of research on biomass and bio-fuels: a citation-based approach. Technol. Forecast. Soc. Chang. 2008, 75(9):1349-1359.
17. Kajikawa Y., Takeda Y. Citation network analysis of organic LEDs. Technol. Forecast. Soc. Chang. 2009, 76(8):1115-1123.
18. Shibata N., Kajikawa Y., Takeda Y., Matsushima K. Detecting emerging research fronts based on topological measures in citation networks of scientific publications. Technovation 2008, 28(11):758-775.
19. Shibata N., Kajikawa Y., Takeda Y., Sakata I., Matsushima K. Detecting emerging research fronts in regenerative medicine by the citation network analysis of scientific publications. Technol. Forecast. Soc. Chang. 2011, 78(2):274-282.
20. Chen S.H., Huang M.H., Chen D.Z. Identifying and visualizing technology evolution: a case study of smart grid technology. Technol. Forecast. Soc. Chang. 2012, 78(6):1099-1110.
21. Chen S.H., Huang M.H., Chen D.Z., Lin S.G. Detecting the temporal gaps of technology fronts: a case of smart grid. Technol. Forecast. Soc. Chang. 2012, 79(9):1705-1719.
22. Swanson D.R. Two medical literatures that are logically but not bibliographically connected. J. Am. Soc. Inf. Sci. 1987, 38(4):228-233.
23. Literature-based Discovery 2008, Springer-Verlag, Heidelberg. P.D. Bruza, M. Weeber (Eds.).
24. Swanson D.R., Smalheiser N.R. An interactive system for finding complementary literatures: a stimulus to scientific discovery. Artif. Intell. 1997, 91(2):183-203.
25. Smalheiser N.R., Swanson D.R. Using ARROWSMITH: a computer-assisted approach to formulating and assessing scientific hypotheses. Comput. Methods Prog. Biomed. 1998, 57(3):149-153.
26. Swanson D.R., Smalheiser N.R., Bookstein A. Information discovery from complementary literatures: categorizing viruses as potential weapons. J. Am. Soc. Inf. Sci. Technol. 2001, 52(10):797-812.
27. Smalheiser N.R. Predicting emerging technologies with the aid of text-based data mining: the micro approach. Technovation 2001, 21(10):689-693.
28. Deerwester S.C., Dumais S.T., Landauer T.K., Furnas G.W., Harshman R.A. Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci. Technol. 1990, 41(6):391-407.
29. Gordon M.D., Dumais S. Using latent semantic indexing for literature based discovery. J. Am. Soc. Inf. Sci. Technol. 1998, 49(8):674-685.
30. Blei D.M., Ng A.Y., Jordan M.I. Latent Dirichlet allocation. J. Mach. Learn. Res. 2003, 3:993-1022.
31. Grifiths T.L., Steyvers M. Finding scientific topics. Proc. Natl. Acad. Sci. 2004, 101(Suppl. 1):5228-5235.
32. Blei D.M., Lafferty J.D. Dynamic topic models. ACM 2006, 113-120.
33. Blei D.M. Probabilistic topic models. Commun. ACM 2012, 55(4):77-84.
34. Daud A., Li J., Zhou L., Muhammad F. Conference mining via generalized topic modeling, in machine learning and knowledge discovery in database. LNCS 2009, 5781:244-259.
35. Kostoff R.N. Text mining using database tomography and bibliometrics: a review. Technol. Forecast. Soc. Chang. 2001, 68(3):223-253.
36. Kostoff R.N., del Rio J.A., Humenik J.A., Garcia E.O., Ramirez A.M. Citation mining: integrating text mining and bibliometrics for research user profiling. J. Am. Soc. Inf. Sci. Technol. 2001, 52(13):1148-1156.
37. Kostoff R.N. Literature-related discovery (LRD): introduction and background. Technol. Forecast. Soc. Chang. 2008, 75(2):165-185.
38. Kostoff R.N., Briggs M.B., Solka J.L., Rushenberg R.L. Literature-related discovery (LRD): methodology. Technol. Forecast. Soc. Chang. 2008, 75(2):186-202.
39. Kostoff R.N. Systematic acceleration of radical discovery and innovation in science and technology. Technol. Forecast. Soc. Chang. 2006, 73(8):923-936.
40. Kostoff R.N., Block J.A., Solka J.L., Briggs M.B., Rushenberg R.L., Stump J.A., Johnson D., Lyons T.J., Wyatt J.R. Literature-related discovery (LRD): lessons learned, and future research directions. Technol. Forecast. Soc. Chang. 2008, 75(2):276-299.
41. Kostoff R.N. Literature-related discovery and innovation - update. Technol. Forecast. Soc. Chang. 2012, 79(4):789-800.
42. Coletti M.H., Bleich H.L. Medical subject headings used to search the biomedical literature. J. Am. Med. Inform. Assoc. 2001, 8(4):317-323.
43. Swanson D.R., Smalheiser N.R., Torvik V.I. Ranking indirect connections in literature-based discovery: the role of medical subject headings. J. Am. Soc. Inf. Sci. Technol. 2006, 57(11):1427-1439.
44. Behkami N.A., Daim T.U. Research Forecasting for Health Information Technology (HIT), using technology intelligence. Technol. Forecast. Soc. Chang. 2012, 79(3):498-508.
45. Kostoff R.N., Lau C.G. Combined biological and health effects of electromagnetic fields and other agents in the published literature. Technol. Forecast. Soc. Chang. 2013, 80(7):1331-1343.
46. Tseng Y.H., Lin C.J., Lin Y.I. Text mining techniques for patent analysis. Inf. Process. Manag. 2007, 43:1216-1247.
47. Porter A.L., Watts R.J., Anderson T.R. Mining PICMET: 1997-2003 papers help you track management of technology developments. Proceedings of Portland International Conference on Management of Engineering and Technology 2003, 188-193.
48. Kwakkel J., Cunningham S.W., Anderson T.R. Remining PICMET: 1987-2008. Proceedings of Portland International Conference on Management of Engineering and Technology 2009, 22-36.
49. Bengisu M., Nekhili R. Forecasting emerging technologies with the aid of science and technology databases. Technol. Forecast. Soc. Chang. 2006, 73(7):835-844.
50. Mörchen E., Dejori M., Fradkin D., Etienne J., Wachmann B., Bundshus M. Anticipating annotations and emerging trends in biomedical literature. Proceedings of 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York 2008, 854-962.
51. Kim Y.G., Suh J.H., Park S.C. Visualization of patent analysis for emerging technology. Expert Syst. Appl. 2008, 34(3):1804-1812.
52. Jo Y., Lagoze C., Giles C.L. Detecting research topics via the correlation between graphs and texts. Proceedings of 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York 2007, 370-379.
53. Chen C. CiteSpaceII: detecting and visualizing emerging trends and transient patterns in scientific literature. J. Am. Soc. Inf. Sci. Technol. 2006, 57(3):357-377.
54. Salton G., Buckley C. Term-weighting approaches in automatic text retrieval. Inf. Process. Manag. 1988, 24(5):513-523.
55. Daim T.U., Rueda G., Martin H., Gerdsri P. Forecasting emerging technologies: use of bibliometrics and patent analysis. Technol. Forecast. Soc. Chang. 2006, 73(8):981-1012.
56. Shoemaker P.J., Vos T. Gatekeeping Theory 2009, Routledge.
57. Gibbons M. Mode 2 society and the emergence of context-sensitive science. Sci. Public Policy 2000, 27(3):159-163.