Titlebook: Genres on the Web; Computational Models Alexander Mehler,Serge Sharoff,Marina Santini Book 2011 Springer Science+Business Media B.V. 2011 a

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Classification of Web Sites at Super-genre Levelquented meeting place, to mention only some. Furthermore, the ever-growing number of users and content creators leads to a rapid evolution and emergence of different Web sites. As a consequence, it is more and more difficult to identify the Web sites providing the information and services of interes

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Mining Graph Patterns in Web-based Systems: A Conceptual Viewlexity of web data sources and the huge amount of information available online, Web Mining has been an important and fruitful research topic [16, 46]. Generally, Web Mining can be divided into the following categories:

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Genre Emergence in Amateur Flash out role of the community in which the genres emerge. This chapter develops an approach in which a quantitative social network analysis informs our study of genre emergence in Flash animations posted to Newgrounds.com, a major web portal for amateur Flash. Results indicate that participants‘ social

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Variation Among Blogs: A Multi-dimensional Analysis presented in reverse chronological order. The archive is generally made freely available to the public. The postings tend to consist primarily of raw text, but may also contain hyperlinks and other media, including picture, video and sound files. Often blogs allow for readers to post comments as we

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https://doi.org/10.1007/978-3-642-51388-6ance in answering a predefined search. As such it is a valuable means of knowledge discovery and an essential part of the effective and efficient management of digital documents in a repository, library, or archive.

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https://doi.org/10.1007/978-3-662-38047-5lexity of web data sources and the huge amount of information available online, Web Mining has been an important and fruitful research topic [16, 46]. Generally, Web Mining can be divided into the following categories: