Online Communities and Social Computing: Third International by Saizo Aoyagi, Hidenori Fujino, Hirotake Ishii, Hiroshi

By Saizo Aoyagi, Hidenori Fujino, Hirotake Ishii, Hiroshi Shimoda, Hiroshi Sakuda (auth.), A. Ant Ozok, Panayiotis Zaphiris (eds.)

This ebook constitutes the refereed complaints of the 3rd foreign convention on on-line groups and Social Computing, OCSC 2009, held in San Diego, CA, united states in July 2008 within the framework of the thirteenth overseas convention on Human-Computer interplay, HCII 2009 with 10 different thematically related conferences.

The seventy seven revised papers provided have been rigorously reviewed and chosen from quite a few submissions. The papers permitted for presentation completely hide the thematic quarter of on-line groups and social computing, addressing the subsequent significant themes: designing and constructing on-line groups; social habit of people and synthetic brokers in on-line groups; internet 2.0: rising demanding situations; studying, schooling and tradition; on-line video games; and on-line groups and society.

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Extra info for Online Communities and Social Computing: Third International Conference, OCSC 2009, Held as Part of HCI International 2009, San Diego, CA, USA, July 19-24, 2009. Proceedings

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The segmentation, annotation, and exploration tasks can be seen as one unit. Thus, video annotators alternately segment, annotate, and need to browse own results or data belonging to other annotators or annotation projects [5], [16], [22]. This process is accompanied by data reviews, comparisons, and consequently modifications [22], [24], [28]. Annotators start chunking the video into segments they want to refer to, drawing on different apporaches [2], [3], [10], [14], [17], [22], [27]. Video segments can be defined either by a single person or by an assigned group in a collaborative manner.

1 Client-Server Model A fundamental condition for collaborative processes is the interconnectedness of every peer taking part for information exchanging purposes [7], [10]. , client-server, peer-to-peer, or web-based approaches.

2, respectively. In the second case, UNAVIT-SN is not able to find a route from O to D, but it finds one or more routes that overlap candidate routes between O and D and have equal or close criteria values. If these routes pass through O-D, the one with closest “social match” is returned to the user. In both cases, either finding a path from O to D or a path that passes through O and D, NavQoS is defined as follows: NavQoS = ST * FT * LT* R . , {Low, Medium, High}. In order to select an appropriate recommendation among the available ones, social matching score, which is defined as follows, must be greater than or equal a threshold.

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