ACM Home Page
Please provide us with feedback. Feedback
Blogosphere: research issues, tools, and applications
Full text PdfPdf (355 KB)
Source
ACM SIGKDD Explorations Newsletter archive
Volume 10 ,  Issue 1  (June 2008) table of contents
SESSION: Contributed articles table of contents
Pages 18-31  
Year of Publication: 2008
ISSN:1931-0145
Authors
Nitin Agarwal  Arizona State University, Tempe, AZ
Huan Liu  Arizona State University, Tempe, AZ
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 56,   Downloads (12 Months): 575,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1412734.1412737
What is a DOI?

ABSTRACT

Weblogs, or Blogs, have facilitated people to express their thoughts, voice their opinions, and share their experiences and ideas. Individuals experience a sense of community, a feeling of belonging, a bonding that members matter to one another and their niche needs will be met through online interactions. Its open standards and low barrier to publication have transformed information consumers to producers. This has created a plethora of open-source intelligence, or "collective wisdom" that acts as the storehouse of over-whelming amounts of knowledge about the members, their environment and the symbiosis between them. Nonetheless, vast amounts of this knowledge still remain to be discovered and exploited in its suitable way. In this paper, we introduce various state-of-the-art research issues, review some key elements of research such as tools and methodologies in Blogosphere, and present a case study of identifying the influential bloggers in a community to exemplify the integration of some major aspects discussed in this paper. Towards the end, we also compare and contrast the blogosphere and social networks and the research therein.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
E. Adar, L. Zhang, L. Adamic, and R. Lukose. Implicit structure and the dynamics of blogspace. In Proceedings of the 13th International World Wide Web Conference, 2004.
 
2
 
3
Nitin Agarwal, Huan Liu, John J. Salerno, and Philip S. Yu. Searching for Familiar Strangers on Blogosphere: Problems and Challenges. In NSF Symposium on Next-Generation Data Mining and Cyber-enabled Discovery and Innovation (NGDM), 2007.
4
 
5
G. Attardi and M. Simi. Blog mining through opinionated words. In Proceedings of the fifteenth Text REtrieval Conference (TREC), 2006.
 
6
A. L. Barabasi and R. Albert. Emergence of scaling in random networks. Science, 286(509), 1999.
 
7
A. Blanchard. Blogs as virtual communities: Identifying a sense of community in the julie/julia project. Into the Blogosphere: Rhetoric, Community and Culture.http://blog.lib.umn.edu/blogosphere, 2004.
8
 
9
A. Blum, T. H. C. Mugizi, and M. R. Rwebangira. A random-surfer web-graph model. In Third Workshop on Analytic Algorithmics and Combinatorics (ANALCO06), 2006.
 
10
11
12
 
13
Thayne Coffman and Sherry Marcus. Dynamic classification of groups through social network analysis and hmms. In Proceedings of IEEE Aerospace Conference, 2004.
 
14
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, and Richard Harshman. Indexing by latent semantic analysis. Journal of the American Society for information science, 1990.
 
15
Daniel Drezner and Henry Farrell. The power and politics of blogs. In American Political Science Association Annual Conference, 2004.
 
16
L. Efimova and S. Hendrick. In search for a virtual settlement: An exploration of weblog community boundaries, 2005.
 
17
T. Elkin. Just an online minute... online forecast. http://publications.mediapost.com/index.cfm?fuseaction=Articles.showArticle art aid=29803.
 
18
Thomas L. Friedman. The World Is Flat: A Brief History of the Twenty-First Century. Farrar, Straus and Giroux, 2005.
 
19
Michael Gamon, Anthony Aue, Simon Corston-Oliver, and Eric Ringger. Pulse: Mining Customer Opinions from Free Text. In Proceedings of the 6th International Symposium on Intelligent Data Analysis, 2005.
 
20
Kathy E. Gill. How can we measure the influence of the blogosphere? In Proceedings of the WWW'04: work-shop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics, 2004.
 
21
22
 
23
Jacob Goldenberg, Barak Libai, and Eitan Muller. Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing Letters, 12:211--223, 2001.
24
25
 
26
 
27
 
28
Akshay Java, Pranam Kolari, Tim Finin, and Tim Oates. Modeling the spread of influence on the blogosphere. In Proceedings of the 15th International World Wide Web Conference, 2006.
 
29
Anubhav Kale, Amit Karandikar, Pranam Kolari, Akshay Java, Tim Finin, and Anupam Joshi. Modeling trust and influence in the blogosphere using link polarity. In International Conference on Weblogs and Social Media, 2007.
 
30
Ed Keller and Jon Berry. One American in ten tells the other nine how to vote, where to eat and, what to buy. They are The Influentials. The Free Press, 2003.
31
 
32
 
33
P. Kolari, T. Finin, and A. Joshi. SVMs for the blogosphere: Blog identification and splog detection. In AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs, 2006.
 
34
P. Kolari, A. Java, T. Finin, T. Oates, and A. Joshi. Detecting spam blogs: A machine learning approach. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI), 2006.
35
 
36
37
 
38
J. Leskovec, M. McGlohon, C. Faloutsos, N. Glance, and M. Hurst. Cascading behavior in large blog graphs. In SIAM International Conference on Data Mining, 2007.
39
40
 
41
42
 
43
Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project, 1998.
 
44
David M. Pennock, Gary W. Flake, Steve Lawrence, Eric J. Glover, and C. Lee Giles. Winners don't take all: Characterizing the competition for links on the web. Proceedings of the National Academy of Sciences, 99(8):5207-5211, 2002.
45
46
47
48
 
49
D. J. Watts and S. H. Strogatz. Collective dynamics of 'small-world networks. Nature, 393(6684):440442, 1998.
50