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Download e-book for kindle: Advances in Network Science: 12th International Conference by Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino

Posted On February 24, 2018 at 3:49 am by / Comments Off on Download e-book for kindle: Advances in Network Science: 12th International Conference by Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino

By Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi

ISBN-10: 331928360X

ISBN-13: 9783319283609

ISBN-10: 3319283618

ISBN-13: 9783319283616

This booklet constitutes the refereed complaints of the twelfth foreign convention and faculty of community technological know-how, NetSci-X 2016, held in Wroclaw, Poland, in January 2016.

The 12 complete and six brief papers have been conscientiously reviewed and chosen from fifty nine submissions. The papers care for the research of community versions in domain names starting from biology and physics to laptop technology, from monetary markets to cultural integration, and from social media to infectious diseases.

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Read or Download Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings PDF

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Extra info for Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings

Example text

Nevertheless, analysis and mining of lurkers in social networks has been recently recognized as an important problem. Determining trust/distrust relationships that involve lurkers can provide a unique opportunity to understand whether and to what extent such users can be trusted or distrusted from the other users. This is important from both the perspective of protecting the active users from untrustworthy or undesired interactions, and the perspective of encouraging lurkers to more actively participate in the community life through the guidance of active users.

Thirdly, Followee-Expertise, an unsupervised method, mostly performs better than Read-Popularity. Fourthly, again, the combined ranking can achieve the best performance. Lastly, comparing Tables 2 and 3, we notice that reading topic discovery can achieve comparable performance as posting topic discovery, which suggests that although we do not have user reading behavior data traces, we can still predict user reading topics with reasonable accuracy. Reading Topic Discovery for Lurkers. In order to see how well we can predict lurkers’ reading topics, we divide the testing users into lurker group and active user group.

The Atlas of Economic Complexity. Puritan Press, Boston (2011) 12. : A network analysis of countries export flows: firm grounds for the building blocks of the economy. PLoS ONE 7(10), e47278 (2012) 42 R. Guidotti et al. 13. : Feature selection, association rules network and theory building. J. Mach. Learn. Res. Proc. Track 10, 14–21 (2010) 14. : The retail market as a complex system. EPJ. Data Sci. 3(1), 1–27 (2014) 15. : Explaining the product range effect in purchase data. In: 2013 IEEE International Conference on Big Data, pp.

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Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings by Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi


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