41![Signed Networks in Social Media Jure Leskovec Stanford University [removed] Daniel Huttenlocher Signed Networks in Social Media Jure Leskovec Stanford University [removed] Daniel Huttenlocher](https://www.pdfsearch.io/img/5c368f8f1ed64d9de8a790b4c2ae55a2.jpg) | Add to Reading ListSource URL: www.cs.cornell.eduLanguage: English - Date: 2010-01-05 02:10:36
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42![Line graph / Signed graph / Graph theory / Graph / Bar chart Line graph / Signed graph / Graph theory / Graph / Bar chart](/pdf-icon.png) | Add to Reading ListSource URL: www.aamt.edu.auLanguage: English |
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43![Adjacency matrix / Bipartite graph / Regular graph / Graph / Ramanujan graph / Random graph / Bipartite double cover / Signed graph / Graph theory / Mathematics / Algebraic graph theory Adjacency matrix / Bipartite graph / Regular graph / Graph / Ramanujan graph / Random graph / Bipartite double cover / Signed graph / Graph theory / Mathematics / Algebraic graph theory](/pdf-icon.png) | Add to Reading ListSource URL: web.math.princeton.eduLanguage: English - Date: 2001-07-17 21:14:42
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44![Predicting Positive and Negative Links in Online Social Networks Jure Leskovec Daniel Huttenlocher Predicting Positive and Negative Links in Online Social Networks Jure Leskovec Daniel Huttenlocher](https://www.pdfsearch.io/img/fd3c369c4a39b447c73ce4c77cd97fa5.jpg) | Add to Reading ListSource URL: www-cs.stanford.eduLanguage: English - Date: 2012-02-24 13:41:08
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45![Statistical Computing and Graphics Let’s Practice What We Preach: Turning Tables into Graphs Andrew GELMAN, Cristian PASARICA , and Rahul DODHIA Statisticians recommend graphical displays but often use tables to presen Statistical Computing and Graphics Let’s Practice What We Preach: Turning Tables into Graphs Andrew GELMAN, Cristian PASARICA , and Rahul DODHIA Statisticians recommend graphical displays but often use tables to presen](https://www.pdfsearch.io/img/3a5b3eaa04fc00c78499716eec41773f.jpg) | Add to Reading ListSource URL: stat.columbia.eduLanguage: English - Date: 2006-11-14 22:57:19
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46![From the book Networks, Crowds, and Markets: Reasoning about a Highly Connected World. By David Easley and Jon Kleinberg. Cambridge University Press, 2010. Complete preprint on-line at http://www.cs.cornell.edu/home/klei From the book Networks, Crowds, and Markets: Reasoning about a Highly Connected World. By David Easley and Jon Kleinberg. Cambridge University Press, 2010. Complete preprint on-line at http://www.cs.cornell.edu/home/klei](https://www.pdfsearch.io/img/ace73e50e355645662cce0a6fa8497f0.jpg) | Add to Reading ListSource URL: snap.stanford.eduLanguage: English - Date: 2011-11-19 02:38:47
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47![Research Paper Progress in Informatics, No[removed]) Research Paper Progress in Informatics, No[removed])](https://www.pdfsearch.io/img/70758b7346759b25e0c33933dde8e9f1.jpg) | Add to Reading ListSource URL: www.kmonos.netLanguage: English - Date: 2013-05-24 23:49:50
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48![Predicting Positive and Negative Links in Online Social Networks Jure Leskovec Daniel Huttenlocher Predicting Positive and Negative Links in Online Social Networks Jure Leskovec Daniel Huttenlocher](https://www.pdfsearch.io/img/8d1651449e2acf63fc977cd4b1421e64.jpg) | Add to Reading ListSource URL: snap.stanford.eduLanguage: English - Date: 2011-11-19 02:38:53
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49![doi:[removed]j.socnet[removed] doi:[removed]j.socnet[removed]](https://www.pdfsearch.io/img/637871b86e6a7a05e57d8a6f8220db75.jpg) | Add to Reading ListSource URL: snap.stanford.eduLanguage: English - Date: 2011-11-19 02:38:27
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50![Exploiting Longer Cycles for Link Prediction in Signed Networks ∗ Kai-Yang Chiang UT Austin Exploiting Longer Cycles for Link Prediction in Signed Networks ∗ Kai-Yang Chiang UT Austin](https://www.pdfsearch.io/img/b5bb2ec956ea046819e5779be2c59a14.jpg) | Add to Reading ListSource URL: snap.stanford.eduLanguage: English - Date: 2012-10-09 01:03:18
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