A Network Analysis of Greek Tech Blogs: A Lonely Road

DOI: 10.4236/sn.2014.31001   PDF   HTML     3,678 Downloads   5,883 Views   Citations

Abstract

Technology ranks second among the top topics on blogging. However, little research effort has been devoted to investigating “tech” blogs while it is interesting to provide insights on their network, as they may have strong influence in the way that readers act and make decisions. In this vein, the paper records Greek “tech” blogs and their incoming links reported through their blogrolls. A directed network was created where blogs are noted as nodes and linked as directed arrows—arcs. The resulting network is analyzed using centrality and topological measurements and results are discussed in the social network analysis context. The network is a small world, with sparse density for a real-life social network and is low in-degree that shows off a kind of immaturity. Bloggers prefer to link to nodes with smaller degrees perhaps due to the fact that they are afraid of the growing competition thus they have reservations.

Share and Cite:

Vrana, V. , Kydros, D. and Theocharidis, A. (2014) A Network Analysis of Greek Tech Blogs: A Lonely Road. Social Networking, 3, 1-8. doi: 10.4236/sn.2014.31001.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] J. Barger, “FAQ: Weblog Resources,” 1997. http://chnm.gmu.edu/digitalhistory/links/pdf/chapter1/1.41.pdf
[2] V. Vrana and K. Zafiropoulos, “Locating Central Travelers’ Groups in Travel Blogs’ Social Networks,” Journal of Enterprise Information Management, Vol. 23, No. 5, 2010, pp. 595-609. http://dx.doi.org/10.1108/17410391011083056
[3] L. Efimova and A. de Moor, “Beyond Personal Webpublishing: An Exploratory Study of Conversational Blogging Practices,” Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38), Los Alamitos, 2005, p. 107a.
[4] M. Sigala, “Developing and Implementing an eCRM 2.0 Strategy: Usage And Readiness of Greek Tourism Firms,” In: P. O’Connor, W. H?pken and U. Gretzel, Eds., Information and Communication Technologies in Tourism, Springer Verlag, Wien, 2008, pp. 463-474.
[5] H. C. Ko, “Why Are A-List Bloggers Continuously Popular?” Online Information Review, Vol. 36, No. 3, 2012, pp. 401-419. http://dx.doi.org/10.1108/14684521211241422
[6] S. C. Herring, I. Kouper, J. Paolillo, L. A. Scheidt, M. Tyworth, P. Welsch, E. Wright and N. Yu, “Conversations in the Blogosphere: An Analysis ‘From the Bottom Up’,” Proceedings of the Thirty-Eighth Hawai’i International Conference on System Sciences (HICSS-38), Los Alamitos, 3-6 January 2005, p. 107b.
[7] S. Song, Q. Li and X. Zheng, “Detecting Popular Topics in Micro-Blogging Based on a User Interest-Based Model,” WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, 10-15 June 2012, pp. 1-8.
[8] E. Davidson and E. Vaast, “Tech Talk: An Investigation of Blogging in Technology Innovation Discourse,” IEEE Transactions on Professional Communication, Vol. 52, No. 1, 2009, pp. 40-60. http://dx.doi.org/10.1109/TPC.2008.2012285
[9] J. Min and H. Lee, “The Change in User and IT Dynamics: Blogs as IT-Enabled Virtual Self-Presentation,” Computers in Human Behavior, Vol. 27, No. 6, 2011, pp. 2339- 2351. http://dx.doi.org/10.1016/j.chb.2011.07.013
[10] R. Savolainen, “Requesting and Providing Information in Blogs and Internet Discussion Forums,” Journal of Documentation, Vol. 67, No. 5, 2011, pp. 863-886. http://dx.doi.org/10.1108/00220411111164718
[11] C. Wagner and N. Bolloju, “Supporting Knowledge Management in Organizations with Conversational Technologies: Discussion Forums, Weblogs, and Wikis,” Journal of Database Management, Vol. 16, No. 2, 2005, pp. i-viii.
[12] J. Kolbitsch and H. Maurer, “The Transformation of the Web: How Emerging Communities Shape the Information We Consume,” Journal of Universal Computer Science, Vol. 12, No. 2, 2008, pp. 187-213.
[13] M. Kosonen, K. Henttonen and H. K. Ellonen, “Weblogs and Internal Communication in a Corporate Environment: A Case from the ICT Industry,” International Journal of Knowledge and Learning, Vol. 3, No. 4-5, 2007, pp. 437- 449. http://dx.doi.org/10.1504/IJKL.2007.016704
[14] H. P. Lu and K. L. Hsiao, “Understanding Intention to Continuously Share Information on Weblogs,” Internet Research, Vol. 17, No. 4, 2007, pp. 345-361. http://dx.doi.org/10.1108/10662240710828030
[15] R. Aggarwal, R. Gopal, R. Sankaranarayanan and P. Vir Singh, “Blog, Blogger, and the Firm: Can Negative Employee Posts Lead to Positive Outcomes?” Information Systems Research, Vol. 23, No. 2, 2012, pp. 306-322. http://dx.doi.org/10.1287/isre.1110.0360
[16] E. Constantinides, C. L. Romero and M. Gómez Boria, “Social Media: A New Frontier for Retailers?” European Retail Research, Vol. 22, 2008, pp. 1-28.
[17] C. Droge, M. Stanko and W. Pollitte, “Lead Users and Early Adopters on the Web: The Role of New Technology Product Blogs,” The Journal of Product Innovation and Management, Vol. 27, No. 1, 2010, pp. 66-82. http://dx.doi.org/10.1111/j.1540-5885.2009.00700.x
[18] S. Wasserman and K. Faust, “Social Network Analysis: Methods and Applications,” Cambridge University Press, Cambridge, 1994. http://dx.doi.org/10.1017/CBO9780511815478
[19] H. W. Park and N. Jankowski, “A Hyperlink Network Analysis of Citizen Blogs in South Korean Politics,” Javnost—The Public, Vol. 15, No. 2, 2008, pp. 57-74.
[20] F. Fu, L. Liu and L. Wang, “Empirical Analysis of Online Social Networks in the Age of Web 2.0,” Physica A, Vol. 387, No. 2-3, 2008, pp. 675-684. http://dx.doi.org/10.1016/j.physa.2007.10.006
[21] A. Marques, R. Krejci, S. Siqueira, M. Pimentel, M. Helena and L. B. Braz, “Structuring the Discourse on Social Networks for Learning: Case Studies on Blogs and Microblogs,” Computers in Human Behavior, Vol. 29, No. 2, 2013, pp. 395-400. http://dx.doi.org/10.1016/j.chb.2012.03.001
[22] R. V. Kozinets, “The Field behind the Screen: Using Netnography for Marketing Research in Online Communities,” Journal of Marketing Research, Vol. 39, No. 1, 2002, pp. 61-72. http://dx.doi.org/10.1509/jmkr.39.1.61.18935
[23] N. Sharda and M. Ponnada, “Tourism Blog Visualizer for Better Tour Planning,” Journal of Vacation Marketing, Vol. 14, No. 2, 2007, pp. 157-167. http://dx.doi.org/10.1177/1356766707087523
[24] M. Sigala, “WEB 2.0, Social Marketing Strategies and Distribution Channels for City Destinations: Enhancing the Participatory Role of Travelers and Exploiting Their Collective Intelligence,” In: M. Gascó-Hernández and T. Torres-Coronas, Eds., Information Communication Technologies and City Marketing: Digital Opportunities for Cities around the World, IDEA Publishing, 2009, pp. 220-244. http://dx.doi.org/10.4018/978-1-60566-134-6.ch011
[25] A. Zehrer, J. Crotts and V. Magnini, “The Perceived Usefulness of Blog Postings: An Extension of the Expectancy Disconfirmation Paradigm,” Tourism Management, Vol. 32, No. 1, 2010, pp. 106-113. http://dx.doi.org/10.1016/j.tourman.2010.06.013
[26] M. Sigala, “WEB 2.0 in the Tourism Industry: A New Tourism Generation and New E-Business Models,” Ecoclub, No. 90, 2007 pp. 5-8.
[27] H. W. Wang, “Exploring the Factors of Gastronomy Blogs Influencing Readers’ Intention to Taste,” International Journal of Hospitality Management, Vol. 30, No. 3, 2010, pp. 503-514. http://dx.doi.org/10.1016/j.ijhm.2010.07.009
[28] P. O’Donnell and S. McClung “MP3 Music Blogs: Their Efficacy in Selling Music and Marketing Bands,” Atlantic Journal of Communication, Vol. 16, No. 2, 2008, pp. 71- 87. http://dx.doi.org/10.1080/15456870701840004
[29] L. Gomes, “Tech Blogs Produce New Elite to Help Track the Industry’s Issues,” Wall Street Journal, 2005, p. B1.
[30] S. Litvin, R. Goldsmith and B. Pan, “Electronic Word-Of- Mouth in Hospitality and Tourism Management,” Tourism Management, Vol. 29, No. 3, 2008, pp. 458-468. http://dx.doi.org/10.1016/j.tourman.2007.05.011
[31] G. Reynolds, “An Army of Davids: How Markets and Technology Empower Ordinary People to Beat Big Media, Big Government, and Other Goliaths,” Nelson Current, Nashville, 2006.
[32] J. P. Liebeskind, A. L. Oliver, L. Zucker and M. Brewer, “Social Networks, Learning and Flexibility: Sourcing Scientific Knowledge in New Biotechnology Firms,” Organization Science, Vol. 7, No. 4, 1996, pp. 428-443. http://dx.doi.org/10.1287/orsc.7.4.428
[33] L. Backstrom, D. Huttenlocher and J. Kleinberg, “Group Formation in Large Social Networks: Membership, Growth, and Evolution,” Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, 20-23 August 2006, pp. 44- 54. http://dx.doi.org/10.1145/1150402.1150412
[34] S. C. Herring, I. Kouper, J. Paolillo, L. A. Scheidt, M. Tyworth, P. Welsch, E. Wright and N. Yu, “Conversations in the Blogosphere: An Analysis ‘from the Bottom up’,” Proceedings of the Thirty-Eighth Hawai’i International Conference on System Sciences (HICSS-38), Los Alamitos, 3-6 January 2005, p. 107b.
[35] S. Farnham, S. Uberoi Kelly, W. Portnoy, J. Schwartz and J. Wallop, “Designing Social Software for Co-Located Social Networks,” Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS’04), Big Island, 5-8 January 2004.
[36] B. Wellman, “Computer Networks as Social Networks,” Science, Vol. 293, No. 5537, 2001, pp. 2031-2034.
[37] C. Ryan, “Performance of Public-Private Collaborations in Advanced Technology Research Networks: Network Analyses of Genome Canada Projects,” Ph.D. Dissertation, University of Saskatchewan, Saskatchewan, 2007.
[38] B. Wellman, “Measuring Social Capital through Analysis of Social Networks Policy,” Research Initiative/Social Sciences and Humanities Research Council/Statistics Canada (PRI/SSHRC/StatsCan). Session I: Expert Work- shop on the Measurement of Social Capital, 2004.
[39] S. P. Mead, “Using Social Network Analysis to Visualize Project Teams,” Project Management Journal, Vol. 32, No. 4, 2001, pp. 32-38.
[40] R. Balancieri, R. Cuel and R. C. dos Santos Pacheco, “Social Network Analysis for Innovation and Coordina- tion,” Proceedings of I-KNOW’07 Graz, Austria, 5-7 September 2007. http://triple-i.tugraz.at/blog/wp-content/uploads/2008/11/9_social-network-analysis-for-innovationandcoordiniation.pdf
[41] A. Marin and B. Wellman, “Social Network Analysis: An Introduction,” In: P. Carrington and J. Scott, Eds., HandBook of Social Network Analysis, Sage, Thousand Oaks, 2011, pp. 11-25.
[42] R. Albert, H. Jeong and A. L. Barabási, “Error and Attack Tolerance of Complex Networks,” Nature, Vol. 406, 2000, pp. 378-382. http://dx.doi.org/10.1038/35019019
[43] Z. Y. Zhao, S. Z. Feng, Q. Wang, J. Z. Huan, G. Williams and J. P. Fan, “Topic Oriented Community Detection through Social Objects and Link Analysis in Social Net- works,” Knowledge-Based Systems, Vol. 26, 2012, pp. 164-173. http://dx.doi.org/10.1016/j.knosys.2011.07.017
[44] V. Vrana, K. Zafiropoulos and D. Vagianos, “Authority Groups among Popular Wine Blogs,” Journal of Quality Assurance in Hospitality & Tourism, Vol. 14, No. 2, 2013, pp. 142-162. http://dx.doi.org/10.1080/1528008X.2013.749389
[45] D. Drezner and H. Farrell, “The Power and Politics of Blogs,” Public Choice, Vol. 134, No. 1-2, 2008, pp. 15- 30.
[46] C. Marlow, “Audience, Structure and Authority in the Weblog community,” 54th Annual Conference of the In- ternational Communication Association, 2004. http://alumni.media.mit.edu/~cameron/cv/pubs/04-01.pdf
[47] S. Albrecht, M. Lübcke and R. Hartig-Perschke, “Weblog Campaigning in the German Bundestag Election 2005,” Social Science Computer Review, Vol. 25, No. 4, 2007, pp. 504-520. http://dx.doi.org/10.1177/0894439307305628
[48] L. Adamic and N. Glance, “The Political Blogosphere and the 2004 US Election: Divided They Blog,” LinkKDD’05, Proceedings of the 3rd International Workshop on Link Discovery, 2005, pp. 36-43. http://dx.doi.org/10.1145/1134271.1134277
[49] S. Brin and L. Page, “The Anatomy of a Large-Scale Hypertextual Web Search Engine,” Computer Networks and ISDN Systems, Vol. 30, No. 1-7, 1998, pp. 107-117. http://dx.doi.org/10.1016/S0169-7552(98)00110-X
[50] M. E. J. Newman, “Assortative Mixing in Networks,” Physical Review Letters, Vol. 89, No. 20, 2002, Article ID: 208701. http://dx.doi.org/10.1103/PhysRevLett.89.208701
[51] F. Chung, “Spectral Graph Theory,” American Mathematical Society, Providence, 1997.
[52] V. Batagelj and A. Mrvar, “Pajek—Analysis and Visualization of Large Networks,” Graph Drawing, Vol. 2265, Springer, Berlin, 2003, pp. 477-478.
[53] S. Milgram, “The Small World Problem,” Psychology Today, Vol. 2, 1967, pp. 60-67.
[54] J. Travers and S. Milgram, “An Experimental Study of the Small World Problem,” Sociometry, Vol. 32, No. 5, 1969, pp. 425-443. http://dx.doi.org/10.2307/2786545
[55] C. Korte and S. Milgram, “Acquaintance Links between White and Negro Populations: Application of the Small World Method,” Journal of Personality and Social Psychology, Vol. 15, No. 2, 1970, pp. 101-108. http://dx.doi.org/10.1037/h0029198
[56] M. E. J. Newman, “Models of the Small World: A Review,” Journal of Statistical Physics, Vol. 101, No. 3-4, 2000, pp. 819-841. http://dx.doi.org/10.1023/A:1026485807148
[57] K. Zafiropoulos and V. Vrana, “A Hyperlink Study of Greek Political Blogs Communication Patterns,” In: C. M. Evans, Ed., Blogging, the Digital Divide and Digital Libraries, Nova Science Publishers, Inc., New York, 2009, pp. 27-52.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.