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1 6 ISSN k- k- nplu@mail.cgu.edu.tw /8/9 //

2 7 A Longitudinal Network Analysis of Taiwan Blogosphere Neng-pin Lu Abstract Recently, the blogosphere has been dramatically blooming and becoming indispensable in our digital lives. Nowadays, there have been many published researches about the blogosphere. However, the network analyses of Taiwan blogosphere are still limited. Thus, in this research, we tried to investigate the network changes of Taiwan blogosphere. Based on the rank list maintained by the Taiwan website, Blog Look, we took the Top Taiwan personal blogs, on 6 October 8, 6 September 9, and 7 June, respectively, as three clusters of our research sample. First, we conducted basic statistics of the three sample clusters, and compared the differences between them. Then, we collected all the blogrolls of the Top blogs, on November 8, September 9, and July, respectively. Therefore, we sifted and figured out three blogroll network topologies at the three time points, respectively. Upon the three blogroll network topologies, we applied centrality and k-core analyses to explore the network changes of Taiwan blogosphere. Based on the analytical results, we found that the communities of networking application, picture article, and cuisine, respectively, are the top three communities and locate at a variety of topological centers of Taiwan blogosphere. Furthermore, compared to the blogosphere around the world, we found that the community of networking application fits in the blogging trend around the world, the community of societal comment is less connected than popular political blogs in western democratic countries, and the communities of picture article and cuisine are special developments of Taiwan blogosphere. Keywords: Blog, Network analysis, Centrality, -core Neng-pin Lu is an Assistant Professor at the Department of Information Management, Chang Gung University,Taiwan. Received/8/9; Accepted// () 6-65

3 8 Technorati Winn, 9 Sobel, Universal McCann8Power to the People - Social Media Tracker Wave.87% 7.9%Smith, 8Wave 5 Social Media Tracker: The Socialisation of Brandssocial networking site Parker & Thomas, Blog Service ProviderBSP BSPWordPress wordpress.orgmovable Typewww. movabletype.orgfblog BSPBSP RSSReally Simple SyndicationJohnson, 6 () 6-65

4 9 H e r r i n g e t al.5ali-hasanadamic7 Chau Xu7 BSP look.urs.tw 8. Web. OReilly, 7RSSWiner personal on the webpublished communities Blood on-line diary reverse chronological order reflectionscomments hyperlinksmerriam-webster Dictionary, blogger blog community blogosphere Herring et al., archiveblogroll subscription photo albumprofilecontent () 6-65

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6 Ali-HasanAdamic7 Chau Xu7 Aharony 9 content analysistagging folksonomy Gotz et al.9 local temporal patternglobal network patternleskovec et al.9 Herring et al. Efimovade Moor 5 Efimova et al.5 A-list blog Lin& Kao, ; Lu et al., k- () 6-65

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9 global centrality closeness i c in C ( i) = j i l ji 5 i c out C ( i) = l j i ij 6 i iii v- i c in ' C v ( i) = j i l ji 7 i c out' C v ( i) = l j i ij 8 kij k c B ( k) = i k j k g ij g ( k) ij 9 () 6-65

10 5 gijki jkgijij v-v+k i k j k ( k) gij c' B ( k) = v v + g ij centralization CG = i i ( c ( c G max star max c c G i ) star i ) GCG star graph CG k- k-k Seidman, 98 G=V, Ek-k-core k-c VH=C, E C k- -ic: degreehikdegreehiih k-hk k=k-gk k-k-inclusionc- c- coreness c-c+- c () 6-65

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28 6 NSC 97--H-8- Adamic, L. A., & Glance, N. (5). The political blogosphere and the U.S. election: Divided they blog. Proceedings of the rd International Workshop on Link Discovery, Chicago, Illinois. Agarwal, N., & Liu, H. (8). Blogosphere: Research issues, tools, and applications. ACM SIGKDD Explorations Newsletter, (), 8-. Aharony, N., (9). Librarians and information scientists in the blogosphere: An exploratory analysis. Library & Information Science Research, (), 7-8. Ali-Hasan, N., & Adamic, L. A. (7). Expressing social relationships on the blog through links and comments. Paper presented at the International Conference on Weblogs and Social Media, Boulder, Colordo. Banks, M. A. (7). Blogging heroes: Interviews with of the world's top bloggers, New Jersey: Wiley. Bhagat, S., Cormode, G., Muthukrishnan, S., Rozenbaum, I., & Xue, H. (7). No blog is an island - Analyzing connections across information networks. Paper presented at the International Conference on Weblogs and Social Media, Boulder, Colordo. Blood, R. (). The weblog handbook: Practical advice on creating and maintaining your blog. MA: Perseus Publishing, Massachusetts. Borgatti, S. P., Everett, M. G., & Freeman, L. C. (). UCINET 6 For Windows: Software for Social Network Analysis. Kentucky: Analytic Technologies. Chau, M., & Xu, J. (7). Mining communities and their relationships in blogs: A study of online hate groups. International Journal of Human-Computer Studies, 65(), De Nooy, W., Mrvar, A., & Batagelj, V. (5). Exploratory social network analysis with Pajek. New York: Cambridge University Press. Efimova, J. & de Moor, A. (5), Beyond personal webpublishing: An exploratory study of conversational blogging practices. Proceedings of the 8th Annual Hawaii International Conference on System Sciences, Big Island, Hawaii Efimova, L., Hendrick, S., & Anjewierden, A. (5). Finding the life between buildings: An approach for defining a weblog community. Paper presented at the Internet research 6.: Internet generations, Chicago, Illinois () 6-65

29 6 Freeman, L. C. (979). Centrality in social networks: Conceptual clarification. Social Networks, (), 5-9. Furukawa, T., Matsuo, Y., Ohmukai, I., Uchiyama, K., & Ishizuka, M. (7). Social networks and reading behavior in the blogosphere. Paper presented at the International Conference on Weblogs and Social Media, Boulder, Colorado. Gotz, M., Leskovec, J., McGlohon, M., & Faloutsos, C. (9). Modeling blog dynamics. Proceedings of the Third International Conference on Weblogs and Social Media, San Jose, California. Hanneman, R. & Riddle, M. (5). Introduction to social network methods. California: University of California. Herring, S. C., Scheidt, L. A., Bonus, S., & Wright, E. (). Bridging the gap: A genre analysis of weblogs. Proceedings of the 7th Annual Hawaii International Conference on System Sciences, Big Island, Hawaii. Herring, S. C., Kouper, I., Paolillo, J. C., Scheidt, L. A., Tyworth, M., Welsch, P., Wright, E., & Yu, N. (5). Conversations in the blogosphere: An analysis from the bottom up. Proceedings of the 8th Annual Hawaii International Conference on System Sciences, Big Island, Hawaii. Johnson, D. (6). RSS and atom in action: Web. building blocks. Connecticut: Manning Publications. Kumar, R., Novak, J., Raghavan, P., & Tomkins, A. (). Structure and evolution of blogspace. Communications of the ACM, 7(), 5-9. Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabasi, L.-A. et al. (9). Computational social science. Science, (595), 7-7. Leskovec, J., Backstrom, L., & Kleinberg, J. (9). Meme-tracking and the dynamics of the news cycle. Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France. Lin, C. L., & Kao, H.-Y. (). Blog popularity mining using social interconnection analysis. IEEE Internet Computing, (), -9. Lu, H.-P., Lin, J. C. C., Hsiao, K.-L., & Chen, L.-T. (). Information sharing behavior on blogs in Taiwan: Effects of interactivities and gender differences. Journal of Information Science, 6(), -6. Marlow, C. A. (6). Linking without thinking: Weblogs, readership, and online social capital formation. Paper presented at the International Communication Association Conference, Dresden, Germany. Martin, J. L. (9). Social Structures, New Jersey: Princeton University Press. McGlohon, M., Leskovec, J., Faloutsos, C., Hurst, M., & Glance, N. (7). Finding patterns in blog shapes and blog evolution. Paper presented at the International Conference on Weblogs and Social Media, Boulder, Colorado. Merriam-Webster Dictionary (). Merriam-Webster's Words of the Year. Retrieved from Newman, M. E. J., & Girvan, M. (). Finding and evaluating community structure in networks. Physical Review E, 69 (), 6. OReilly, T. (7). What is web.: Design patterns and business models for the next generation of software. Communications & Strategies, 65, 7-7. Otte, E., & Rousseau, R. (). Social network analysis: A powerful strategy, also for the information sciences. Journal of Information Science, 8 (6), -5. () 6-65

30 65 Palla, G., Derenyi, I., Farkas, I., & Vicsek, T. (5). Uncovering the overlapping community structure of complex networks in nature and society. Nature, 5 (7), Parker, G., & Thomas, L. (). Wave 5 social media tracker: The socialisation of brands. New York: Universal McCann. Radicchi, F., Castellano, C., Cecconi, F., Loreto, V., & Parisi, D. (). Defining and identifying communities in networks. Proceedings of the National Academy of Sciences of the United States of America, (9), Sahni, S. (). Data structures, algorithms, and applications in java. New York: McGraw-Hill. Seidman, S. (98). Network structure and minimum degree. Social Networks, 5 (), Smith, T. (8). Power to the people - Social media tracker wave. New York: Universal McCann. Sobel, J. (). State of the Blogosphere. Retrieved from Wasserman, S., & Faust, K. (99). Social network analysis. New York: Cambridge University Press. Winer, D. (). What are Weblogs? Retrieved from gcommunities Winn, P. (9). State of the Blogosphere 8. Retrieved from () 6-65

关于2007年硕士研究生培养方案修订几点要求的说明

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