第五章 結論
第三節 未來研究建議
本研究僅就量化指標來評估使用者的標籤結果與歷程，對於使用者為何會使 用這些標籤用字（wording）可進一步進行訪談之質性探討；由本研究可發現對於 學生的知識背景可能也是造成本研究上各種指標的差異，故可探討同一班級在同 一個視覺化介面上的資訊組織差異探討；在第四章第五節提到觀察使用者背景與 各種指標的關係，是否可以有效預測受測學生的計概成績，可進一步使用回歸分 析來進行討論。
65
Anderson, C. (2006). The long tail: Why the future of business is selling less of more.
New York, NY: Hyperion.
Albert, R., & Baraba´si, A. L. (2002). Statistical mechanics of complex networks.
MODERN PHYSICS , 74(1), 47-97.
Arolas, E. E., & Ladrón-de-Guevar, F. G. (2012). Uses of explicit and implicit tags in social bookmarking. Journal of the American Society for Information Science and Technology, 63(2), 313-322.
Bateman, S., Gutwin, C., & Nacenta, M. (2008). Seeing things in the clouds: The effect of visual features on tag cloud selections. Proceedings of the 19th ACM conference on Hypertext and Hypermedia, 193-202.
66
Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis (2nd.). Cambridge, UK: Cambridge University Press.
Bearman, D., & Trant, J. (2005). Social terminology enhancement through vernacular engagement: Exploring collaborative annotation to encourage interaction with museum collections. D-Lib Magazine, 11(9). Retrieved from
http://www.dlib.org/dlib/september05/bearman/09bearman.html
Begelman, G., Keller, P., & Smadja, F. (2006, May). Automated tag clustering:
Improving search and exploration in the tag space. Paper presented at the Collaborative Web Tagging Workshop at WWW2006, Edinburgh,Scotland.
Retrieved from
http://www.ra.ethz.ch/cdstore/www2006/www.rawsugar.com/www2006/20.pdf Burgess, C., & Lund, K. (l995a, March). Automatic Extraction of High-Dimensional
Semantics from Corpora and Human Syntactic Processing Constraints. Paper presented at the 8th Annual CUNY Sentence Processing Conference, Tucson, AZ. Retrieved from http://locutus.ucr.edu/reprintPDFs/bl95cuny.pdf
Burgess, C., & Lund, K. (l995b, May). Hyperspace analogue to language (HAL): A general model of semantic representation. In C. Burgess (Chair), Developing Cognitive and Neural Models of High-dimensional Semantic Space.
Symposium conducted at the TENNET VI, Sixth Annual Conference on Theoretical and Experimental Neuropsychology, Montreal, Quebec. Retrieved from http://locutus.ucr.edu/reprintPDFs/TEN95syp96bc.pdf
Cattuto, C., Schmitz, C., Baldassarri, A., Serverdio, V. D., Loreto, V., Hotho, A., Grahl, M., & Stumme, G. (2007). Network properties of folksonomies. AI Communications, 20(1), 245-262.
Cattuto, C., Barrata, A., Baldassarri, A., Schehr, G., & Loreto, V. (2009). Collective dynamics of social annotation. Proceedings of the National Academy of
67
Sciences of the United States of America, 106(26), 10511–10515. doi:
10.1073/pnas.0901136106.
Chen, S. Y., Tseng, T. T., Ke, H. R., & Sun, C. T. (2011). Social trend tracking by time series based social tagging clustering. Expert Systems with Applications, 38(10), 12807-12817.
Collins, A. M., & Quiilians, M. R. (1969). Retrieval from semantic memory. Journal of Verbal Learning and Verbal Behavior, 8, 240-247.
Craik, F., & Lockhar, R. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behacior, 11(6), 671-684.
Cui, W., Wu, Y., Liu, S., Wei, F., & Zhou, M. X. (2010, March). Context Preserving Dynamic Word Cloud Visualization. Presented at the IEEE Pacific
Visualization Symposium. Taipei, Taiwan. Retrieved from
http://research.microsoft.com/en-us/um/people/weiweicu/images/wordpv.pdf Dorogovtsev, S. N., & Mendes, J. F. F. (2003). Evolution of Networks: From
Biological Nets to the Internet and WWW. New York, NY: Oxford University Press.
Eagele, N., Macy, M., & Claxton, R. (2010). Network diversity and economic development. Science, 328, 1029-1031.
Edward, F. M. (1964). A comparison of some species-individuals diversity indices applied to samples of field insects. Ecology, 45, 859-861.
Farooq, U., Kannampallil, T, G., Yang, S., Ganoe, C, H., Carroll, J, M., & Giles, L, C. (2007,November). Evaluating Tagging Behavior in Social Bookmarking Systems: Metrics and design heuristics. Paper presented at the Group 2007 Conference, Sanibel Island, FL.
Fruchterman, T., & Reingold, E. (1991). Graph drawing by force-directed placement.
68
Software-Practice and Experience, 21(11), 1129-1164.
Fujimura, K., Fujimura, S., Matsubayashi, T., Yamada,T., & Okuda, H. (2008, April).
Topigraphy: visualization for large scale tag clouds. Poster session presented at the meeting of the WWW 2008, Beijing, China.
Gao, Q. (2011). An empirical study of tagging for personal information organization:
Performance, workload, memory, and consistency. International Journal of Human-Computer Interaction, 27(9), 821-863.
Golder, S. A., & Huberman, B. A. (2006). Usage patterns of collaborative tagging systems. Journal of Information Science, 32(2), 198-208.
Guy, M., & Tokin, E. (2006). Tidying up tags. D-Lib Magazine. 12(1). Retrieved from http://www.dlib.org/dlib/january06/guy/01guy.html
Helic, D., Trattner, C., Strohmaier, M., & Andrews, K. ( 2010, August). On the navigability of social tagging systems. Paper presented at the 2010 IEEE Second International Conference on Social Computing, Los Alamitos, CA.
Heymann, P., & Garcia-Molina, H. (2006). Collaborative creation of communal hierarchical taxonomies in social tagging systems. Stanford InfoLab Technical Report 2006-10. Retrieved from http://ilpubs.stanford.edu:8090/775/1/2006-10.pdf
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output.
Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569-16572. doi:10.1073/pnas.0507655102
Hsieh, J. L., & Chiu, L. C. (2011, Octorber). Network analysis of tagging structure.
Proceedings of the American Society for Information Science and Technology,48(1), 1-4. doi:10.1002/meet.2011.14504801233
Hou, H. T., Chang, K. E., & Sung, Y. T. (2010). Applying lag sequential analysis to detect visual behavioral patterns of online learning activities. British Journal of
69
Educational Technology, 41(2), 25-27.
Hou, H. T., Chang, K. E., & Sung, Y. T. (2011). A longitudinal analysis of the behavioral patterns in teachers using blogs for knowledge interactions. British Journal of Educational Technology, 42(2), 34-36.
Kipp, M. E. I., & Campbell, D. G. (2006). Patterns and inconsistencies in collaborative tagging systems: An examination of tagging practices.
Proceedings of the American Society for Information Science and Technology.
43(1),1-18. doi:10.1002/meet.14504301178.
Kipp, M. E. I. (2008, June). @toread and cool: Subjective, affective and associative factors in tagging. Paper presented at the 36th annual conference of the Canadian Association for Information Science. Vancouver, Canada.
Kipp, M. E. I, & Campbell, D. G. (2010). Searching with Tags: Do Tags Help Users Find Things? Knowledge Organization, 37(4), 239-255.
Kipp, M. E. I. (2011a). Tagging of biomedical articles on CiteULike: A comparison of user, author and professional indexing. Knowledge Organization, 38(3), 245-261.
Kipp, M. E. I. (2011b). User, author and professional indexing in context: An exploration of tagging practices on CiteULike. The Canadian Journal of Information and Library Science, 35(1), 17-48.
Marion, S. D., Touchette, P. E., & Sandman, C. A. (2003). Sequential analysis reveals a unique structure for self-injurious behavior. American Journal on Mental Retardation, 108(5), 301-313.
Marlow, C., Naaman, M., Boymd, D., & Davis, M. (2006, August). HT06, Tagging Paper, Taxonomy, Flickr, Academic Article, to Read. Paper presented at the seventeenth conference on Hypertext and hypermedia, Odense, Denmark.
Mathes, A. (2004). Folksonomies-Cooperative Classification and Communication
70
through Shared Metadata. Retrieved from
http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html
Menhinick, E. F. (1964). A comparison of some species-individuals diversity indices applied to samples of field insects. Ecology, 45(4), 859-861.
Merholz, P. (2004). Ethnoclassification and vernacular vocabularies. Retrieved from http://www.peterme.com/archives/000387.html
Mika, P. (2007). Ontologies are us: A unified model of social networks and semantics.
Web Semantics: Science, Service, and Agents on the World Wide Web, 5(1), 5-15.
Newman, M. E. J. (1939).The structure and function of complex networks. Retreived from http://arxiv.org/pdf/cond-mat/0303516.pdf
O'Reilly, T. (2005, September). What is Web 2.0. : Design patterns and business models for the next generation of software. Retrieved from
http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html
Pollner, P., Palla, G., & Vicsek, T. (2010). Clustering of tag-induced subgraphs in complex networks. Physica A, 389, 5887-5894.
Reagans, R., & Zuckerman, E. W. (2001). Networks, diversity, and productivity: The social capital of corporate R&D teams. Organization Science, 12(4), 502-517.
Rivadeneira, A. W., Gruen, D. M., Muller, M. J., & Millen, D. R. (2007, May).
Getting our head in the clouds: toward evaluation studies of tagclouds. Paper presented at the Computer/Human Interaction 2007 Conference, San Jose, CA.
Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513–523.
Schmitz, C., Grahl, M., Hotho, A., Stumme, G., Cattuto, C., Baldassarri, A., Loreto, V., & Servedio, V. D. P. (2007, May). Network properties of folksonomies.
71
Paper presented at the (WWW2007 conference): Workshop on Tagging and Metadata for Social Information Organization, Alberta, Canada.
Schrammel, J., Leitner, M., & Tscheligi, M. (2009, April). Semantically Structured Tag Clouds: An Empirical Evaluation of Clustered Presentation Approaches.
Paper presented at the SIGCHI Conference on Human Factors in Computing Systems, Boston, MA.
Sen, S., Lam S. K., Rashid, A. M., Cosley, D., Frankowski, D., Osterhouse,J., Harper, F.M., & Riedl, J. (2006, November). Tagging, communities, vocabulary,
evolution. Paper presented at the 2006 20th anniversary conference on Computer supported cooperative work, Alberta, Canada.
Shannon, C, E. (1948). A Mathematical Theory of Communication. Bell System Technical Journal, 27, 379-423.
Shen, K., & Wu, L. (2005, September 23). Folksonomy as a complex network. [online repository].Retrieved from http://arXiv:cs/0509072
Shirky, C. (2005a). Folksonomies are a forced move: A response to Liz.
Retrieved from
http://many.corante.com/archives/2005/01/22/folksonomies_are_a_forced_mov e_a_response_to_liz.php
Shirky, C. (2005b). Ontology is overrated: Categories, links, and tags. Retrieved from http://www.shirky.com/writings/ontology_overrated.html
Simpson, E. H. (1949). Measurement of Diversity. Nature, 163, 688-688.
Sinclair, J., & Cardew-Hall, M. (2008). The folksonomy tag cloud: When is it useful?
Journal of Information Science, 34(1), 15-29.
Smith, G. (2008). Tagging: People-powered metadata for the social web. New York, NY: New Rider.
72
Stirling, A. (2007). A general framework for analysing diversity in science,
technology and society. The origins of order: self organization and selection in evolution. New York, NY: Oxford University Press.
Stirling, A. (2006). On the economics and analysis of diversity. (Electronic Working Papers Series Paper No. 28). Retrieved from
http://www.sussex.ac.uk/Units/spru/publications/imprint/sewps/sewp28/sewp28 .pdf
Sung, Y. T., Hou, H. T., Liu, C. K., & Chang K. E.*. (2010). Mobile Guide System using Problem-solving Strategy for Museum Learning: A Sequential Learning Behavioral Pattern Analysis. Journal of Computer Assisted Learning, 26(2), 106-115.
Tapscott, D., & Williams, A. D. (2006). Wikinomics: How mass collaboration changes everything. New York, NY: Portfolio.
Taylor, A. G. (1999). The Organization of information. Englewood, CO : Libraries Unlimited.
Trant, J. (2009).Studying social tagging and folksonomy: A review and framework.
Journal of Digital Information, 10(1). Retrieved from
http://journals.tdl.org/jodi/index.php/jodi/article/viewArticle/269
Trattner, C., Denis, H., & Strohmaier, M. (2011). On the construction of efficiently navigable tag clouds using knowledge from structured web content. Journal of Universal Computer science, 17(4), 565-582.
Wal, T. V. (2005). Folksonomy. Retrieved from
http://vanderwal.net/essays/051130/folksonomy.pdf
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge, UK: Cambridge University Press.
73