Collaboration and Technology: 19th International Conference, by Liana Razmerita (auth.), Pedro Antunes, Marco Aurélio

By Liana Razmerita (auth.), Pedro Antunes, Marco Aurélio Gerosa, Allan Sylvester, Julita Vassileva, Gert-Jan de Vreede (eds.)

This e-book constitutes the complaints of the nineteenth Collaboration Researchers' overseas operating team convention on Collaboration and know-how, held in Wellington, New Zealand, in October/November 2013. The 18 revised papers provided including four growth papers have been conscientiously reviewed and chosen from 34 submissions. they're equipped into six thematic classes as follows social media, social networks, crowdsourcing, studying, collaboration layout and software program development.

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Cambridge University Press, Cambridge (1994) 11. : Exploratory Network Analysis with Pajek. Cambridge University Press (2005) 12. : e-learning zwischen alpen und k¨ uste – eine analyse der delfi-community. , Spannagel, C. ) Die 10. E-Learning Fachtagung der Gesellschaft f¨ ur Informatik. Lecture Notes in Informatics (LNI), pp. 87–98. Gesellschaft f¨ ur Informatik, Bonn (2012) 13. : Comparing educational modeling languages on a case study. , Didderen, W. ) Advanced Learning Technologies, ICALT 2006, pp.

The relationships in a social network are represented by graphs, and have characteristics that can be studied in the process of trust inference. In this context, a relationship represents how two people interact with each other – this may assist, for instance, in the identification of how this relationship is positive or not. Moreover, these relationships can take specific labels that determine the relationships nature, e. , parent and child, boss and employee, or boyfriend (girlfriend), or even more, it may have quantifiers to show how important or confident– a person is to another.

Once we obtain all the messages or tweets that discuss the event, we separate those messages which contain hyperlinks from those that do not. Messages which do not include a hyperlink are added to our multimodal document collection, considering the sole tweet text as the content of the document. On the other hand, if a message contains a hyperlink, then this message is not added to our document representation. Instead, we extract all of the hyperlinks mentioned in messages. Next, we resolve each URL, which in many cases has been shortened, to find duplicate links.

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