By Jeng-Shyang Pan, Shyi-Ming Chen, Ngoc-Thanh Nguyen

The three-volume set LNAI 6421, 6422 and 6423 constitutes the refereed lawsuits of the second one overseas convention on Computational Collective Intelligence, ICCCI 2010, held in Kaohsiung, Taiwan, in November 2010. according to rigorous peer studies, this system committee conscientiously chosen a hundred and fifty five revised papers from 500 submissions for presentation in 3 volumes. The papers are prepared in topical sections on collective intelligence in net platforms - internet structures research; clever computing for facts defense; shrewdpermanent clustering thoughts; internet carrier; quantitative administration of know-how; agent procedure; CCI-based optimization types; fuzzy common sense and its purposes; social networks; techniques in computation and alertness; clever sign processing for human-machine interplay; novel techniques to clever functions; clever applied sciences for clinical comparable functions; novel ways to collective computations and structures; clever structures; complex knowledgement administration; clever computing for photo research; clever electronic watermarking and development attractiveness; cutting edge details process and alertness; clever computing for networks; smooth computing to business administration and functions; recommendations in pervasive computing; organic computing.

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Extra info for Computational Collective Intelligence. Technologies and Applications: Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010. Proceedings, Part II

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In general, the data set contains information about conference participants, conference talks and presence on talks. Initial import contained 767 different persons, 99 talks, 10,110 presences reported during talks. In the cleaning process, these contributors who did not give any information about their interests were excluded from further studies. As a result, 334 persons with 99 lectures and 3,141 presences have left after cleaning. Afterwards, the social network was build. Ties in the network were constructed based on the fact that participants were present on the same talks.

T. ): ICCCI 2010, Part II, LNAI 6422, pp. 22–30, 2010. c Springer-Verlag Berlin Heidelberg 2010 Identifying Representative Reviewers in Internet Social Media 23 and lots of user participations, the Web become a cyber society. The current Web shows that lots of information creates a community among peoples regardless of age, gender or nationality. Moreover, there are some influential people in the community. There are many researches to find opinion leaders in a Web social network [2,9]. We design an algorithm that finds opinion leaders in a social network of users for musics.

1, users who have incoming edges are followees, and users who have outgoing edges are followers. For instance, 1 denotes a followee of users 2, 3, . . , 8. When 1 uploads a message (tweet) to its own twitter, all users from 2 to 8 can read the message immediately. Furthermore, user 8 can retweet the message to users 9, 10 and 11 or response the message by adding opinions. This function is called retweet. -M. -W. -S. Han Table 1. Number of Followers VS. S. 7 News Ryan Seacrest Show host 8 The New York Times Lil duval Comedian THE REAL SHAQ Sport star 9 Iran about Iran Kim Kardashian Model 10 News John Mayer Musician 11 ESPN Sports News Persiankiwi about Iran Demi Moore Actress 12 Ashton Kutcher Actor Iamdiddy Musician 13 Raymond Jahan about Iran Jimmy Fallon Actor 14 Alyssa Milano actress Lance Armstrong Sport star 15 who has many retweets can be considered as an opinion leader.

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