Chance Discovery

The Journal of New Mathematics and Natural Computation is running the first ot two parts of a special issue on chance discovery (volume 1, number 3). The number, besides including two regular papers, contains the first part of this special issue. The journal page can be found here. The table of contents of this first part of the special issue is: Ruediger Oehlmann, Preface, page 371. Yukio Ohsawa, Data crystallization: chance discovery extended for dealing with unobservable events, page 373. Renate Fruchter, Yukio ohsawa, and Naohiro Matsumura, Knowledge reuse through chance discovery from an enterprise design-build enterprise data store, page 393. Calkin a. s. Montero and Kenji araki, Human chat and self-organized criticality: A chance discovery application, page 407. Ja-min Koo and Sung-bae Cho, Interpreting chance for computer security by viterbi algorithm with edit distance, page 421. Edward Tsang, Sheri Markose and Hakan Er, Chance discovery in stock index option and futures arbitrage, page 435.

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. More info. 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. ...