AN ONLINE SYSTEM FOR NOTIFICATION OF CHANGES TO BLOGGING SPACE TO ACHIEVE INFORMATION DOMINATION
Keywords:Abstract Acquisition, Online Web Notifier, Social Networks, Cyberspace, Blog
Exponential growth of information in the Cyberspace alongside rapid advancements in its related technologies has created a new mode of competition between societies to gain information domination in this critical and invaluable space. It has thus become quite critical to all stakeholders to play a leading and dominant role in the generation of information and monitoring of voluminous information uploaded to this space. Dominance in monitoring of large amount of information in cyberspace requires real-time monitoring using new techniques and approaches instead of traditional techniques. Concerned with the latter case, we limit our focus in this paper on Blogs as an important part of the Cyberspace and propose a novel notification system for quick reporting of changes made to Blogs. This is achieved by restricting the search for changes to high volumes of Blogs only to changes to the abstracts of Blogs derived from Blogs. We show that this system works favourably compared to systems that require cooperation and synchronization between information providers.
Greenwood, M. “Prioritising Hyperlinks for Topic-Focused Web Crawling using Lexical and
Terminological Profiling.” M.A. thesis, University of Manchester, 2009.
“Whole-Product-Dynamic test”, Technical report, AV-Comparatives and the University of
Innsbruck's Faculty of Computer Science and Quality Engineering, 2011.
Henrique, W. , Ziviani, N., Cristo, M. A., Moura, E. S., Silva, A. S., Carvalho, C. “A New
Approach for Verifying URL Uniqueness in Web Crawlers”, in Proceedings of the 18th
International Conference on String Processing and Information Retrieval, p.237-248, October 17-
, 2011, Pisa, Italy.
Lee, H.T., Leonard, D., Wang, X., and Logulnov, D. “IRLbot: Scaling to 6 Billion Pages and
Beyond”, in Proceedings of the 17th International WWW Conference, pp. 427-436, 2008.
Lewandowski, D. “A Three-Year Study on the Freshness of Web Search Engine Databases.” in
Journal of Information Science, Vol. 34 No.6, pp. 817–831, 2008.
Agarwal, N., Kumar, S., Liu,H., Woodward, M. “BlogTrackers: A Tool for Sociologists to Track
and Analyze Blogosphere.” in Proceedings of the Third International ICWSM Conference, pp.
Sayyadi, H., Hurst, M., Maykov, A. “Event Detection and Tracking in Social Streams.” in
Proceedings of International Conference on Blogs and Social Media (ICWSM), 2009.
Pathak, M., Thakre, V. “Intelligent Web Monitoring - A Hypertext Mining-Based Approach.” in
Journal of the Indian Institute of Science, Vol. 86, No. 5, pp. 481-492, 2006.
Nanno, T., Suzuki, Y., Fujiki, T. and Okumura, M. “Automatic collection and monitoring of
Japanese Blogs.” in Proceedings of International World Wide Web Conferences (WWW) 2004
Workshop on the Web logging Ecosystem: Aggregation, Analysis and Dynamics.
Tabansky, L. “Basic Concepts in Cyber Warfare.” in Military and Strategic Affairs Journal, Vol.
, No. 1, 2011.
Swanstrom, E. “Wax Blocks, Data Banks, and File #0467839: The Archive of Memory in William
Gibson’s Science Fiction.” in InterActions: UCLA Journal of Education and Information Studies,
2, Paper 7, 2005.
The U.S. Department of Defense. “Department of Defense Strategy for Operating in Cyberspace.”
Bakliwal, A., Arora, P., Varma, V. “Entity Centric Opinion Mining from Blogs.” in Proceedings
of 24th International Conference on Computational Linguistics, pp. 53-64, 2012.
Shekhar, S., Oliver, D. "Computational Modeling of Spatio Temporal Social Networks: A Time-
Aggregated Graph Approach.” A position paper for the Workshop on Spatio Temporal Constraints
on Social Networks, Santa Barbara, 2010.
Hernandez-Ramos, P. "Blogs and Online Discussions as Tools to Promote Reflective Practice." in
the Journal of Interactive Online Learning, Vol. 3, No. 1, 2004.
Mingjun, X., Hanxiang, W., Weimin, L., Zhihua, N. “A Public Opinion Classification Algorithm
Based on Micro-Blog Text Sentiment Intensity: Design and Implementation.” in the Journal of
Computer Network and Information Security, 3, pp. 48-54, 2011.
Oh, A., Lee, H., Kim, Y. “User Evaluation of a System for Classifying and Displaying Political
Viewpoints of Blogs.” in Proceedings of the Third International ICWSM Conference, 282-285,
Nichols, J., Mahmud, J., Drews , C., “Summarizing Sporting Events Using Twitter.” in
Proceedings of the 2012 ACM International Conference on Intelligent User Interfaces, New York,
NY, USA, pp. 189–198, 2012.
Mithun, S. “Exploiting Rhetorical Relations in Blog Summarization.” PhD Thesis, Department of
Computer Science and Software Engineering, Concordia University, Montreal, Canada, 2012.
Mathioudakis, M., Koudas, N., “TwitterMonitor: Trend Detection ver the Twitter Stream”, in
Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, New
York, NY, USA, pp. 1155–1158, 2010.
Shih, C., Peng, T. “Building Topic/Trend Detection System based on Slow Intelligence.” in
Proceedings of the 16th International Conference on Distributed Multimedia Systems, Oak Brook,
Illinois, USA. pp. 53-56, 2010.
Weng, J., Lee, B.S., “Event Detection in Twitter.” In Proceedings of the 5th International AAAI
Conference on Blogs and Social Media, pp. 401–408, 2011.
Kim, D., Ki, D., Rho, S., Hwang, E. “Detecting Trend and Bursty Keywords Using
Characteristics of Twitter Stream Data.” in International Journal of Smart Home, Vol. 7, No. 1,
Fang, F., Pervin, N., Datta, A., VanderMeer, D. “Detecting Twitter Trends in Real-Time.” in
Proceedings of the 21st Workshop on Information Technologies and Systems, 2011.
Vakali, A., Giatsoglou, M., Antaris, S. “Social Networking Trends and Dynamics Detection via a
Cloud-Based Framework Design”, in Proceedings of the 21st International Conference
Companion on World Wide Web , New York, NY, USA, pp. 1213–1220, 2012.
Petrovic, S., Osborne, M., Lavrenko, V. “Streaming First Story Detection with Application to
Twitter.” in Human Language Technologies: The 2010 Annual Conference of the North
American Chapter of the Association for Computational Linguistics, PA, USA, pp. 181-189,
Benhardus, J. “Streaming Trend Detection in Twitter.” in National Science Foundation REU for
Artificial Intelligence, Natural Language Processing and Information Retrieval, University of
Wortmann, P. “Topic-based Blog Paper Search for Trend Detection.” Technical University of
Kaiserslautern, Project Thesis, 2009.
Anderson Analytics. “Seven Social Network Segments”, Available from:
http://www.andersonanalytics.com/SNStype/, 16 July, 2009, Last Accessed: 23 August, 2011.
Mutum, D., Wang, Q. “Consumer Generated Advertising in Blogs.” in Neal M. Burns, Terry
Daugherty, Matthew S. Eastin. Handbook of Research on Digital Media and Advertising: User
Generated Content Consumption, pp. 248–261, 2010.
Berry, R. “Blog 101: An Overview of Web log Technologies.” in STC Proceedings (Tools and
Technology section), pp. 216-220, 2004.
Baloglu, A., Aktas. M. “BlogMiner: Web Blog Mining Application for Classification of Movie
Reviews.” in Fifth International Conference on Internet and Web Applications and Services, IEEE
Computer Society Transaction, pp.77-84, 2010.
Goncalves, M., Almeida, J., Santos, L., Laender, A., Almeida, V. “On Popularity in the
Blogosphere.” in Social Computing Transaction, Published by the IEEE Computer Society, pp.
Flynn, N. “Why Blog Rules?” in Blog Rules : A Business Guide to Managing Policy, Public
Relations, and Legal Issues, New York, AMACOM: American Management Association, pp. 3-
Gill, A., Nowson, S., Oberlander, J. “What Are They Blogging About? Personality, Topic and
Motivation in Blogs.” in Proceedings of the Third International AAAI Conference on Blogs and
Social Media, pp. 18-25, 2009.
Invernizzi, L., Kruegel, C., Vigna, G. "Message in A Bottle: Sailing Past Censorship" in 5th
Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs), 2012.
Gyongyi, Z., Garcia-Molina, H., Pedersen, J., “Web content categorization using link
information”, Technical Report, Stanford University, 2006.
Qu, H., Pietra, A. L., Poon, S. “Automated Blog Classification: Challenges and Pitfalls.” in N.
Nicolov, F. Salvetti, M. Liberman, and J. H. Martin (Eds.), Computational Approaches to
Analyzing Blogs: Papers from the 2006 Spring Symposium, AAAI Press. Technical Report, pp.
Ranganathan, S. R. “Library Classification on the March.” in the Sayers Memorial Volume,
Library Association, London, pp. 84, 1961.
Yu, N., Semi-Supervised Learning for Identifying Opinions in Web Content, Ph.D. thesis, Indiana
Egele, M., Kolbitsch, C., Platzer, C. “Removing Web Spam Links from Search Engine Results.”
Journal in Computer Virology, vol. 7, pp.51-62, 2011.
Gao, W., Tian, Y., Huang, T. “Vlogging: A Survey of Videoblogging Technology on the Web .”
in ACM Computing Surveys, Vol. 42, No. 4, Paper 15, pp.1-57, 2010.
Hurst, M., Maykov, A. “Social Streams Blog Crawler.” in Proceedings of the 2009 IEEE
International Conference on Data Engineering, pp. 1615–1618.
Pandey, R., Dwivedi, S. “Interoperability between Semantic Web Layers: A Communicating
Agent Approach” in International Journal of Computer Applications, Volume 12, No.3, 2010.
Mina, Nima. “Blogs, Cyber-Literature and Virtual Culture in Iran”, George C. Marshall, European
Center for Security Studies, N.15, P. 6, 2007.
Kargar, M., Ramli, A., Ibrahim, H., Azimzadeh, F. “Formulating Priority of Information Quality
Criteria on the Blog.” in World Applied Sciences Journal Vol. 4 No. 4, pp. 586-593, 2008.
Alexa Co. “Statistics Summary”, Available from: www.alexa.com, Last Accessed: Dec. 21, 2011.
Google Co. “Google Search”, Available from: http://google.com, Last Accessed: Jan, 1, 2012.
Google Co. “Google Trends”, Available from: http://trends.google.com, Last Accessed: Jan, 2,
Google Co. “Google Search”, Available from: http://google.com, Last Accessed: Jan, 8, 2012.
Gedik, B., Andrade, H., Wu, K. L., Yu, P. S., Doo, M. “SPADE: The System S Declarative Stream
Processing Engine.”, In Proceedings of the 2008 ACM SIGMOD International Conference on
Management of Data, NY, USA, pp. 1123-1134. 2008.
Suzumura, T., Oiki, T. “StreamWeb: Real-Time Web Monitoring with Stream Computing.”, In
Proceedings of the 2011 IEEE International Conference on Web Services, IEEE Computer
Society, Washington, DC, USA, pp. 620-627, 2011.
Foo, K. C., Jiang, Z. M., Hassan, A. E., Zou, Y., Martin, K., Flora, P. “Modelling the performance
of Ultra-Large-Scale Systems Using Layered Simulations.”, 2011 IEEE International Workshop
on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA
, Williams-burg, VA, USA, 2011.
Richards, R. “Content Syndication: RSS and Atom” in Pro PHP XML and Web Services Book,
Apress, pp. 521-566, 2006.
Roden, T. “Realtime Syndication” in Building the Realtime User Experience Book, O’Reilly
Media, Inc., pp. 9-36, 2010.