FrontPageMKShinCreativePlanDueDateMacroTrackBackMacro SemanticNetwork

1. Introduction

2. Background

3. Readings

3.1. social network, semantic network analysis

  1. Barnett, G. A. (2001). A Longitudinal Analysis of the International Telecommunication Network, 1978-1996. American Behavioral Scientist, 44(10), 1638-1655.
  2. Brosius, H.-B. (1994). Recent articles in the field of public opinion research. International Jounal of Public Opinion Research, 6(2), 214-220.
  3. Bynner, J., & Cbisbolm, L. (1998). Comparative Youth Transition Research: Methods, Meanings, and Research Relations. Eur Sociol Rev, 14(2), 131-150.
  4. Cheney, G., & Carroll, C. (1997). The Person as Object in Discourses in and Around Organizations. Communication Research, 24(6), 593-630.
  5. Curran-Smith, J., Abidi, S. S. R., & Forgeron, P. (2005). Towards a collaborative learning environment for children's pain management: leveraging an online discussion forum. Health Informatics Journal, 11(1), 19-31.
  6. Duque, R. B., Ynalvez, M., Sooryamoorthy, R., Mbatia, P., Dzorgbo, D.-B. S., & Shrum, W. (2005). Collaboration Paradox: Scientific Productivity, the Internet, and Problems of Research in Developing Areas. Social Studies of Science, 35(5), 755-785.
  7. Eveland, W. P., Jr., Marton, K., & Seo, M. (2004). Moving beyond "Just the Facts": The Influence of Online News on the Content and Structure of Public Affairs Knowledge. Communication Research, 31(1), 82-108.
  8. Fulk, J. (2001). Global network organizations: Emergence and future prospects. Human Relations, 54(1), 91-99.
  9. Garcia-Alvarez, E., & Lopez-Sintas, J. (2002). Contingency Table: A Two-Way Bridge between Qualitative and Quantitative Methods. Field Methods, 14(3), 270-287.
  10. Giuliani, E. (2006). The selective nature of knowledge networks in clusters: evidence from the wine industry. __J Econ Geogr, lbl014.
  11. Guest, G., & McLellan, E. (2003). Distinguishing the Trees from the Forest: Applying Cluster Analysis to Thematic Qualitative Data. Field Methods, 15(2), 186-201.
  12. Haythornthwaite, C. (2000). Online Personal Networks: Size, Composition and Media Use among Distance Learners. New Media Society, 2(2), 195-226.
  13. Hill, M. (2002). Network Assessments and Diagrams: A Flexible Friend for Social Work Practice and Education. Journal of Social Work, 2(2), 233-254.
  14. Hlebec, V., & Ferligoj, A. (2002). Reliability of Social Network Measurement Instruments. Field Methods, 14(3), 288-306.
  15. Hlebec, V., Manfreda, K. L., & Vehovar, V. (2006). The social support networks of internet users. New Media Society, 8(1), 9-32.
  16. Howard, P. N. (2002). Network Ethnography and the Hypermedia Organization: New Media, New Organizations, New Methods. New Media Society, 4(4), 550-574.
  17. Jackson, K. M., & Trochim, W. M. K. (2002). Concept Mapping as an Alternative Approach for the Analysis of Open-Ended Survey Responses. Organizational Research Methods, 5(4), 307-336.
  18. Jung, J. J., Lee, K.-S., Park, S.-B., & Jo, G.-S. (2005). Efficient Web Browsing with Semantic Annotation: A Case Study of Product Images in E-Commerce Sites. IEICE Trans Inf Syst, E88-D(5), 843-850.
  19. Kang, N., & Choi, J. H. (1999). Structural Implications of the Crossposting Network of International News in Cyberspace. Communication Research, 26(4), 454-481.
  20. Kazmer, M. M., & Haythornthwaite, C. (2001). Juggling Multiple Social Worlds: Distance Students Online and Offline. American Behavioral Scientist, 45(3), 510-529.
  21. Kim, H., Park, H. W., & Thelwall, M. (2006). Comparing Academic Hyperlink Structures with Journal Publishing in Korea: A Social Network Analysis. Science Communication, 27(4), 540-564.
  22. Koku, E., Nazer, N., & Wellman, B. (2001). Netting Scholars: Online and Offline. American Behavioral Scientist, 44(10), 1752-1774.
  23. Markham, A. (1996). Designing Discourse: A Critical Analysis Of Strategic Ambiguity and Workplace Control. Management Communication Quarterly, 9(4), 389-421.
  24. Masten, A. S. (2006). Developmental psychopathology: Pathways to the future. International Journal of Behavioral Development, 30(1), 47-54.
  25. Otte, E., & Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441-453.
  26. Palazzolo, E. T. (2005). Organizing for Information Retrieval in Transactive Memory Systems. Communication Research, 32(6), 726-761.
  27. Park, H. W., Kim, C.-S., & Barnett, G. A. (2004). Socio-Communicational Structure among Political Actors on the Web in South Korea: The Dynamics of Digital Presence in Cyberspace. New Media Society, 6(3), 403-423.
  28. Park, H. W., & Thelwall, M. (2006). Web-science communication in the age of globalization. New Media Society, 8(4), 629-650.
  29. Pruijt, H. (2002). Social Capital and the Equalizing Potential of the Internet. Social Science Computer Review, 20(2), 109-115.
  30. Rodriguez, M. A., Bollen, J., & Van de Sompel, H. (2006). The convergence of digital libraries and the peer-review process. Journal of Information Science, 32(2), 149-159.
  31. Ryan, G. W., & Bernard, H. R. (2003). Techniques to Identify Themes. Field Methods, 15(1), 85-109.
  32. Schummer, J. (2005). Reading nano: the public interest in nanotechnology as reflected in purchase patterns of books. Public Understanding of Science, 14(2), 163-183.
  33. Scott, S. (2005). Three handbooks of qualitative research and data analysis. Qualitative Research, 5(1), 133-137.
  34. Shumate, M., & Fulk, J. (2004). Boundaries and Role Conflict When Work and Family are Colocated: A Communication Network and Symbolic Interaction Approach. Human Relations, 57(1), 55-74.
  35. Thelwall, M., & Harries, G. (2004). Can Personal Web Pages that Link to Universities Yield Information about the Wider Dissemination of Research? Journal of Information Science, 30(3), 240-253.
  36. van den Bos, M. (2006). Hyperlinked Dutch-Iranian Cyberspace. International Sociology, 21(1), 83-99.
  37. Walther, J. B., Loh, T., & Granka, L. (2005). Let Me Count the Ways: The Interchange of Verbal and Nonverbal Cues in Computer-Mediated and Face-to-Face Affinity. Journal of Language and Social Psychology, 24(1), 36-65.
  38. Wellman, B. (2004). The Three Ages of Internet Studies: Ten, Five and Zero Years Ago. New Media Society, 6(1), 123-129.
  39. Wellman, B. (2006). Sociologists Engaging with Computers: Introduction to the Symposium on the History of CITASA, 1988 to 2005: From Microcomputers to Communication and Information Technologies. Social Science Computer Review, 24(2), 139-149.
  40. Wellman, B., Haase, A. Q., Witte, J., & Hampton, K. (2001). Does the Internet Increase, Decrease, or Supplement Social Capital?: Social Networks, Participation, and Community Commitment. American Behavioral Scientist, 45(3), 436-455.

3.2. semantic web

  1. Adams, A., & Kostkova, P. (2006). Special Issue on Digital Libraries. Health Informatics Journal, 12(2), 91-92.
  2. Addison, C. (2001). Webwatch: International Cooperation and the Semantic Web. Information Development, 17(3), 145-146.
  3. Addison, C. (2001). Webwatch: The Semantic Web. Information Development, 17(2), 83-84.
  4. Al-Busaidi, A., Gray, A., & Fiddian, N. (2006). Personalizing web information for patients: linking patient medical data with the web via a patient personal knowledge base. Health Informatics Journal, 12(1), 27-39.
  5. Anagnostakis, A., Sakellaris, G., Tzima, M., Fotiadis, D. I., & Likas, A. (2003). CITATION: Smart Administrations in the Healthcare Sector. Health Informatics Journal, 9(2), 67-78.
  6. Ding, Y. (2001). A review of ontologies with the Semantic Web in view. Journal of Information Science, 27(6), 377-384.
  7. Goddard, M., Mowat, D., Corbett, C., Neudorf, C., Raina, P., & Sahai, V. (2004). The Impacts of Knowledge Management and Information Technology Advances on Public Health Decision-Making in 2010. Health Informatics Journal, 10(2), 111-120.
  8. Golder, S. A., & Huberman, B. A. (2006). Usage patterns of collaborative tagging systems. Journal of Information Science, 32(2), 198-208.
  9. Hert, C. A., Denn, S., & Haas, S. W. (2004). The Role of Metadata in the Statistical Knowledge Network: An Emerging Research Agenda. Social Science Computer Review, 22(1), 92-99.
  10. Hur, W., Bae, H., & Kang, S.-H. (2003). Customizable Workflow Monitoring. Concurrent Engineering, 11(4), 313-325.
  11. Knowles, C. (2002). Intelligent agents without the hype: why they work best with well structured content. Business Information Review, 19(4), 22-28.
  12. Liao, L., Xu, K., & Liao, S. S. (2005). Constructing intelligent and open mobile commerce using a semantic web approach. Journal of Information Science, 31(5), 407-419.
  13. Lican, H., Zhaohui, W., & Yunhe, P. (2003). Virtual and Dynamic Hierarchical Architecture for E-Science Grid. International Journal of High Performance Computing Applications, 17(3), 329-347.
  14. Moller, T., Schuldt, H., Gerber, A., & Klusch, M. (2006). Next-generation applications in healthcare digital libraries using semantic service composition and coordination. Health Informatics Journal, 12(2), 107-119.
  15. Motschnig-Pitrik, R. (2005). Person-Centered E-Learning in Action: Can Technology Help to Manifest Person-Centered Values in Academic Environments? Journal of Humanistic Psychology, 45(4), 503-530.
  16. Park, M., & Fishwick, P. A. (2005). Integrating Dynamic and Geometry Model Components through Ontology-Based Inference. SIMULATION, 81(12), 795-813.
  17. Raschen, B. (2005). A resilient, evolving resource: How to create a taxonomy. Business Information Review, 22(3), 199-204.
  18. Richards, J. D. (2002). Digital preservation and access. European Journal of Archaeology, 5(3), 343-366.
  19. Robinson, S. (2006). Journalism and the internet. New Media Society, 8(5), 843-849.
  20. Shibuya, K. (2004). A Framework of Multi-Agent-Based Modeling, Simulation, and Computational Assistance in an Ubiquitous Environment. SIMULATION, 80(7-8), 367-380.
  21. Wilkinson, D., Thelwall, M., & Li, X. (2003). Exploiting Hyperlinks to Study Academic Web Use. Social Science Computer Review, 21(3), 340-351.
  22. Zhou, L., & Zhang, D. (2006). A Comparison of Deception Behavior in Dyad and Triadic Group Decision Making in Synchronous Computer-Mediated Communication. Small Group Research, 37(2), 140-164.

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