Xavier Llorà » Web Analytics

Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools

Xavier — Mon, 26 Mar 2007 20:23:28 +0000

by Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg (2006).
Proceedings of the International Conference on Weblogs and Social Mining (ICWSM 2007). Also as IlliGAL TR. No. 2006026. Link to the PDF.

Abstract
The blogsphere is a valuable source of information. From simple topic analysis in the blogosphere—what’s hot—to harvesting and analyzing valuable market trends—what product and features are suggested—require a tight integration of computer- and human-based analysis capabilities. Computers can easily assist the processing filtering and visualizing relevant and key elements of the blogosphere, but coupling them with human evaluation and reasoning can provide the final steps to connect pieces of relevant information into better description map of the current trends of the blogosphere. An example of the need for such human-centered analysis was David R. Ellis’ film Snakes on a Plane (2006) which failed to properly translate blogosphere discussions into a successful commercial product—as a clear misalignment of both environments the blogsphere and the final targeted market. In this paper, we present some human-centered visualization and analysis tools that can help users to compare and reason synergies and misalignments revolving around a particular topic.

Delineating Topic and Discussant Transitions in Online Collaborative Environments

Xavier — Wed, 13 Dec 2006 18:26:10 +0000

by Noriko Imafuji Yasui, Xavier Llorà, and David E. Goldberg (2006).
Illinois Technical Report No. 2006025. Link to the PDF.

Abstract
In this paper, we propose some methodologies for delineating topic and discussant transitions in online collaborative environments, more precisely, focus group discussions for product conceptualization. First, we propose KEE (Key Elements Extraction) algorithm, an algorithm for simultaneously finding key terms and key persons in a discussion. Based on KEE algorithm, we propose approaches for analyzing two important factors of discussions: discussion dynamics and emerging social networks. Examining our approaches using actual network-based discussion data generated by real focus groups in a marketing environment, we report interesting results that demonstrate how our approaches could effectively discover knowledge in the discussions.

Adaptable Extraction of Key Elements from Weblogs

Xavier — Wed, 13 Dec 2006 15:27:24 +0000

by Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg (2006).
Illinois Technical Report No. 2006024. Link to the PDF.

Abstract
This paper proposes AKEE (Adaptable Key Elements Extraction) algorithm for web-log (blog, for short) mining. AKEE enables us to identify significant information in various blog components (e.g., a blog post, a series of blog posts, a set of series of blog posts, etc.).

Human-Centered Analysis and Visualization Tools for the Blogosphere

Xavier — Wed, 29 Nov 2006 20:31:08 +0000

by Xavier Llorà, Noriko Imafuji Yasui, Michael Welge, David E. Goldberg (in press, 2007).
To apper in the Proceedings of the Digital Humanities 2007 Conference.Also as IlliGAL TR No. 2006023. Link to the PDF.

Abstract
Blogging has become a new and disruptive communication medium. Blogs have changed the way people and organizations express, interact, and—quite unforeseen—exercise influence. The digital nature of the blog media provides access to an always-expanding corpus of information. It would take more than a lifetime to read all the available blogs necessary to answer questions such as what were the more relevant plots suggested or what key concepts were managed by bloggers in their ideas. However, human-centered analysis and visualization techniques may help users navigate such enormous corpus. This paper presents human-centered analysis and visualization techniques for supporting innovation and creativity can help to identify relevant post portions and to visualize concept relations in the blogosphere.

Innovation and creativity support via chance discovery, genetic algorithms, and data mining

Xavier — Wed, 01 Mar 2006 17:28:45 +0000

by Xavier Llorà and David E. Goldberg, Yukio Ohsawa, Naohiro Matsumura, Yuichi Washida, Hiroshi Tamura, Masataka Yoshikawa, Michael Welge, Loretta Auvil, Duane Searshmith, Kei Ohnishi, and Chen-Ju Chao (2006).
New Mathematics and Natural Computation, World Scientific, pp. 2(1):85–100. Link to the Journal publication.

Abstract
Creativity protocols and methodologies tend to be time consuming if applied manually. This paper presents how information technologies can support innovation and creativity for collaborative scenario creation and discussion. The fusion of change discovery, genetics algorithms, and computer-supported collaborative tools provide computational models of innovation and creativity. The proposed technology allows groups of participants in a creative processes to have pervasive access to the analysis of the current scenario in real time. This paper introduces such innovation technologies gathered in the DISCUS project, and summarizes initial successful usages of DISCUS on marketing research workshops.

Mining social networks in message boards

Xavier — Tue, 12 Apr 2005 19:49:54 +0000

by Matsumura, N., Goldberg, D.E., Llorà, X. (2005).
Published in the Symposium on Conversational Informatics for Supporting Social Intel ligence, The Society for the Study of Artificial Intelligence and the Simulation of Behavior Press, pp. 18–27. Also as IlliGAL TR No 2005001. Link to the PDF

Abstract:
In this paper, we first present an approach to extract social networks from message boards on the Internet. Then we show structural features of 3,000 social networks extracted from 3,000 message boards from 15 categories in Yahoo! Japan Message Boards to prove the relationships between the features and the categories. After we classify social networks into three types (interactive communication, distributed expertise communication and soapbox communication), we suggest an approach for mining social networks to identify the types of communication, the roles of individuals, and important ties, all of which can be used to redesign the means communication as well as understand the state of communication.