Science mapping software tools: Review, analysis, and cooperative study among tools

Journal of the American Society for Information Science and Technology

Volumn 62, Issue 7, 2011, Pages 1382-1402

  Cobo, M J ^a   Lopez Herrera A G ^a   Herrera Viedma, E ^a   Herrera, F ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BIBLIOMETRIC TECHNIQUES; MAPPING ANALYSIS; MAPPING SOFTWARES; RESEARCH FIELDS;

COMPUTER SOFTWARE;

MAPPING;

EID: 79959372931     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21525     Document Type: Article

References (84)

1. Baeza-Yates, R., &, Ribeiro-Neto, B., (1999). Modern information retrieval. Boston, MA: Addison-Wesley.
2. Bailón-Moreno, R., Jurado-Alameda, E., &, Ruíz- Baños, R., (2006). The scientific network of surfactants: Structural analysis. Journal of the American Society for Information Science and Technology, 57 (7), 949-960. (Pubitemid 43734461)
3. Bailón-Moreno, R., Jurado-Alameda, E., Ruíz-Baños, R., &, Courtial, J.P., (2005). Analysis of the scientific field of physical chemistry of surfactants with the unified scienctometric model. Fit of relational and activity indicators. Scientometrics, 63 (2), 259-276. (Pubitemid 43477817)
4. Bar-Ilan, J., (2010). Citations to the "introduction to informetrics" indexed by WOS, Scopus and Google Scholar. Scientometrics, 82 (3), 495-506.
5. Batagelj, V., &, Mrvar, A., (1998). Pajek-Program for large network analysis. Connections, 21 (2), 47-57.
6. Batty, M., (2003). The geography of scientific citation. Environment and Planning A, 35 (5), 761-765.
7. Borgatti, S.P., Everett, M.G., &, Freeman, L.C., (2002). Ucinet 6 for Windows: Software for social network analysis, analytic technologies, Harvard, MA.
8. Börner, K., Chen, C., &, Boyack, K., (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179-255. (Pubitemid 36121885)
9. Börner, K., Huang, W., Linnemeier, M., Duhon, R., Phillips, P., Ma, N., &, Price, M., (2010). Rete-netzwerk-red: Analyzing and visualizing scholarly networks using the network workbench tool. Scientometrics, 83 (3), 863-876.
10. Boyack, K.W., Wylie, B.N., &, Davidson, G.S., (2002). Domain visualization using VxInsight for science and technology management. Journal of the American Society for Information Science and Technology, 53 (9), 764-774. (Pubitemid 34720822)
11. Callon, M., Courtial, J., &, Laville, F., (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research-The case of polymer chemistry. Scientometrics, 22 (1), 155-205.
12. Callon, M., Courtial, J.P., Turner, W.A., &, Bauin, S., (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22 (2), 191-235.
13. Carrington, P.J., Scott, J., &, Wasserman, S., (2005). Models and methods in social network analysis. Structural Analysis in the Social Sciences. New York: Cambridge University Press.
14. Chen, C., (2004). Searching for intellectual turning points: Progressive knowledge domain visualization. Proceedings of the National Academy of Science of the United States of America (PNAS), 101 (suppl. 1), 5303-5310. (Pubitemid 38469143)
15. Chen, C., (2006). CiteSpace II: 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.
16. Chen, C., Ibekwe-SanJuan, F., &, Hou, J., (2010). The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. Journal of the American Society for Information Science and Technology, 61 (7), 1386-1409.
17. Chen, P., &, Redner, S., (2010). Community structure of the physical review citation network. Journal of Informetrics, 4 (3), 278-290.
18. Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., &, Herrera, F., (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics, 5 (1), 146-166.
19. Cook, D.J., &, Holder, L.B., (2006). Mining graph data. Hoboken, NJ: John Wiley & Sons, Inc.
20. Coulter, N., Monarch, I., &, Konda, S., (1998). Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science, 49 (13), 1206-1223. (Pubitemid 128702677)
21. Davidson, G.S., Hendrickson, B., Johnson, D.K., Meyers, C.E., &, Wylie, B.N., (1998). Knowledge mining with vxinsight: Discovery through interaction. Journal of Intelligent Information Systems, 11 (3), 259-285.
22. Davidson, G.S., Wylie, B.N., &, Boyack, K.W., (2001). Cluster stability and the use of noise in interpretation of clustering. Proceedings of the IEEE Symposium on Information Visualization (pp. 23-30). doi: 10.1109/INFVIS.2001.963275 (Pubitemid 33099022)
23. Fabrikant, S.I., Montello, D., &, Mark, D.M., (2010). The natural landscape metaphor in information visualization: The role of commonsense geomorphology. Journal of the American Society for Information Science and Technology, 61 (2), 253-270.
24. Falagas, M.E., Pitsouni, E.I., Malietzis, G.A., &, Pappas, G., (2008). Comparison of Pubmed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. FASEB Journal, 22 (2), 338-342. (Pubitemid 351225599)
25. Gänzel, W., (2001). National characteristics in international scientific co-authorship relations. Scientometrics, 51 (1), 69-115.
26. Gao, X., &, Guan, J., (2009). Networks of scientific journals: An exploration of Chinese patent data. Scientometrics, 80 (1), 283-302.
27. Garfield, E., (1994). Scientography: Mapping the tracks of science. Current Contents: Social & Behavioural Sciences, 7 (45), 5-10.
28. Havre, S., Hetzler, E., Whitney, P., &, Nowell, L., (2002). Themeriver: Visualizing thematic changes in large document collections. IEEE Transactions on Visualization and Computer Graphics, 8 (1), 9-20. (Pubitemid 34573479)
29. Herr, B., Huang, W., Penumarthy, S., &, Börner, K., (2007). Designing highly flexible and usable cyberinfrastructures for convergence. In, W.S. Bainbridge, &, M.C. Roco, (Eds.), Progress in convergence: Technologies for human wellbeing (Vol. 1093, pp. 161-179). Boston: Annals of the New York Academy of Sciences. (Pubitemid 47092377)
30. Hetzler, E., &, Turner, A., (2005). Analysis experiences using information visualization. IEEE Computer Graphic and Applications, 24 (5), 22-26.
31. Jarneving, B., (2005). A comparison of two bibliometric methods for mapping of the research front. Scientometrics, 65 (2), 245-263. (Pubitemid 41314620)
32. Kandylas, V., Upham, S.P., &, Ungar, L.H., (2010). Analyzing knowledge communities using foreground and background clusters. ACM Transactions on Knowledge Discovery from Data, 4 (2), art. no. 7.
33. Kessler, M.M., (1963). Bibliographic coupling between scientific papers. American Documentation, 14 (1), 10-25.
34. Kleinberg, J., (2003). Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery, 7 (4), 373-397.
35. Leydesdorff, L., &, Persson, O., (2010). Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes. Journal of the American Society for Information Science and Technology, 61 (8), 1622-1634.
36. Leydesdorff, L., &, Schank, T., (2008). Dynamic animations of journal maps: Indicators of structural changes and interdisciplinary developments. Journal of the American Society for Information Science and Technology, 59 (11), 1810-1818.
37. López-Herrera, A.G., Cobo, M.J., Herrera-Viedma, E., &, Herrera, F., (2010). A bibliometric study about the research based on hybridating the fuzzy logic field and the other computational intelligent techniques: A visual approach. Internacional Journal of Hybrid Intelligent Systems, 17 (7), 17-32.
38. López-Herrera, A.G., Cobo, M.J., Herrera-Viedma, E., Herrera, F., Bailón-Moreno, R., &, Jimenez-Contreras, E., (2009). Visualization and evolution of the scientific structure of fuzzy sets research in Spain. Information Research, 14 (4), paper 421.
39. McCain, K., (1991). Mapping economics through the journal literature: An experiment in journal co-citation analysis. Journal of the American Society for Information Science, 42 (4), 290-296.
40. Mikki, S., (2010). Comparing Google Scholar and ISI Web of Science for earth sciences. Scientometrics, 82 (2), 321-331.
41. Morel, C.M., Serruya, S., Penna, G., &, Guimarães, R., (2009). Co-authorship network analysis: A powerful tool for strategic planning of research, development and capacity building programs on neglected diseases. PLoS Neglected Tropical Diseases, 3 (8), art. no. e501.
42. Morris, S., &, Van Der Veer Martens, B., (2008). Mapping research specialties. Annual Review of Information Science and Technology, 42 (1), 213-295.
43. Moya-Anegón, F., Vargas-Quesada, B., Chinchilla-Rodríguez, Z., Corera-Ãlvarez, E., Herrero-Solana, V., &, Munoz-Fernández, F., (2005). Domain analysis and information retrieval through the construction of heliocentric maps based on ISI-JCR category cocitation. Information Processing & Management, 41 (6), 1520-1533. (Pubitemid 41050722)
44. Moya-Anegón, F., Vargas-Quesada, B., Chinchilla-Rodríguez, Z., Corera-Ãlvarez, E., Munoz-Fernández, F., &, Herrero-Solana, V., (2007). Visualizing the marrow of science. Journal of the American Society for Information Science and Technology, 58 (14), 2167-2179.
45. Noyons, E.C.M., Moed, H.F., &, Luwel, M., (1999a). Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study. Journal of the American Society for Information Science, 50 (2), 115-131.
46. Noyons, E.C.M., Moed, H.F., &, van Raan, A.F.J., (1999b). Integrating research performance analysis and science mapping. Scientometrics, 46 (3), 591-604.
47. Persson, O., Danell, R., &, Wiborg Schneider, J., (2009). How to use Bibexcel for various types of bibliometric analysis. In, F. Ãström, R. Danell, B. Larsen, &, J. Wiborg, Schneider (Eds.), Celebrating scholarly communication studies: A festschrift for Olle Persson at his 60th birthday (Vol. 5, pp. 9-24). Leuven, Belgium: International Society for Scientometrics and Informetrics.
48. Peters, H.P.F., &, van Raan, A.F.J., (1991). Structuring scientific activities by co-author analysis an exercise on a university faculty level. Scientometrics, 20 (1), 235-255.
49. Peters, H.P.F., &, van Raan, A.F.J., (1993). Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling. Research Policy, 22 (1), 23-45.
50. Polanco, X., FranÃois, C., &, Lamirel, J.C., (2001). Using artificial neural networks for mapping of science and technology: A multi-self-organizingmaps approach. Scientometrics, 51 (1), 267-292. (Pubitemid 33690690)
51. Porter, A.L., &, Cunningham, S.W., (2004). Tech mining: exploiting new technologies for competitive advantage. Hoboken, NJ: John Wiley & Sons, Inc.
52. Porter, A.L., &, Youtie, J., (2009a). How interdisciplinary is nanotechnology ? Journal of Nanoparticle Research, 11 (5), 1023-1041.
53. Porter, A.L., &, Youtie, J., (2009b). Where does nanotechnology belong in the map of science ? Nature Nanotechnology, 4, 534-536.
54. Price, D., &, Gürsey, S., (1975). Studies in scientometrics I: Transience and continuance in scientific authorship. Ci. Informatics Rio de Janeiro, 4 (1), 27-40.
55. Quirin, A., Cordón, O., Santamaría, J., Vargas-Quesada, B., &, Moya-Anegón, F., (2008). A new variant of the pathfinder algorithm to generate large visual science maps in cubic time. Information Processing & Management, 44 (4), 1611-1623. (Pubitemid 351749758)
56. Rip, A., &, Courtial, J., (1984). Co-word maps of biotechnology: An example of cognitive scientometrics. Scientometrics, 6 (6), 381-400.
57. Rosvall, M., &, Bergstrom, C.T., (2010). Mapping change in large networks. PLoS ONE, 5 (1), e8694.
58. Salton, G., &, McGill, M.J., (1983). Introduction to modern information retrieval. New York: McGraw-Hill.
59. Schvaneveldt, R.W., Durso, F.T., &, Dearholt, D.W., (1989). Network structures in proximity data. In, G. Bower, (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 24, pp. 249-284). New York: Academic Press.
60. 2) Tool. Indiana University and SciTech Strategies. Retrieved from
61. Shannon, P., Markiel, A., Ozier, O., Baliga, N., Wang, J., Ramage, D., &, Ideker, T., (2003). Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Research, 13 (11), 2498-2504. (Pubitemid 37428274)
62. Shapira, P., Youtie, J., &, Porter, A.L., (2010). The emergence of social science research on nanotechnology. Scientometrics, 85 (2), 595-611.
63. Skillicorn, D., (2007). Understanding complex datasets: Data mining with matrix decompositions (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series). London: Chapman & Hall.
64. Skupin, A., (2009). Discrete and continuous conceptualizations of science: Implications for knowledge domain visualization. Journal of Informetrics, 3 (3), 233-245.
65. Small, H., (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.
66. Small, H., (1997). Update on science mapping: Creating large document spaces. Scientometrics, 38 (2), 275-293. (Pubitemid 127457637)
67. Small, H., (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science, 50 (9), 799-813.
68. Small, H., (2006). Tracking and predicting growth areas in science. Scientometrics, 68 (3), 595-610. (Pubitemid 44127043)
69. Small, H., &, Garfield, E., (1985). The geography of science: Disciplinary and national mappings. Journal of Information Science, 11 (4), 147-159.
70. Small, H., &, Koenig, M.E.D., (1977). Journal clustering using a bibliographic coupling method. Information Processing and Management, 13 (5), 277-288.
71. Small, H., &, Upham, S.P., (2009). Citation structure of an emerging research area on the verge of application. Scientometrics, 79 (2), 365-375.
72. Upham, S.P., &, Small, H., (2010). Emerging research fronts in science and technology: Patterns of new knowledge development. Scientometrics, 83 (1), 15-38.
73. van Eck, N.J., &, Waltman, L., (2007). Bibliometric mapping of the computational intelligence field. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15 (5), 625-645. (Pubitemid 47583651)
74. van Eck, N.J., &, Waltman, L., (2009). How to normalize cooccurrence data? An analysis of some well-known similarity measures. Journal of the American Society for Information Science and Technology, 60 (8), 1635-1651.
75. van Eck, N.J., &, Waltman, L., (2010). Software survey: Vosviewer, a computer program for bibliometric mapping. Scientometrics, 84 (2), 523-538.
76. van Eck, N.J., Waltman, L., Dekker, R., &, van den Berg, J., (2010). A comparison of two techniques for bibliometric mapping: Multidimensional scaling and vos. CoRR, abs/1003.2551.
77. Waltman, L., van Eck, N.J., &, Noyons, E.C.M., (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4 (4), 629-635.
78. Wasserman, S., &, Faust, K., (1994). Social network analysis: Methods and applications. Cambridge, UK: Cambridge University Press.
79. White, H.D., &, Griffith, B.C., (1981). Author co-citation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32, 163-172.
80. Wise, J.A., (1999). The ecological approach to text visualization. Journal of the American Society for Information Science, 50 (13), 1224-1233.
81. Zadeh, L., (1965). Fuzzy sets. Information and Control, 8 (3), 338-353.
82. Zadeh, L., (2008). Is there a need for fuzzy logic ? Information Sciences, 178 (13), 2751-2779.
83. Zhao, D., &, Strotmann, A., (2008). Evolution of research activities and intellectual influences in information science 1996-2005: Introducing author bibliographic-coupling analysis. Journal of the American Society for Information Science and Technology, 59 (13), 2070-2086.
84. Zitt, M., Bassecoulard, E., &, Okubo, Y., (2000). Shadows of the past in international cooperation: Collaboration profiles of the top five producers of science. Scientometrics, 47 (3), 627-657.