By Anthony Bonato, Fan Chung Graham, Pawel Pralat
This e-book constitutes the refereed lawsuits of the eleventh overseas Workshop on Algorithms and types for the internet Graph, WAW 2014, held in Beijing, China, in December 2014.
The 12 papers offered have been conscientiously reviewed and chosen for inclusion during this quantity. the purpose of the workshop used to be to additional the knowledge of graphs that come up from the net and diverse consumer actions on the internet, and stimulate the improvement of high-performance algorithms and functions that make the most those graphs. The workshop accrued the researchers who're engaged on graph-theoretic and algorithmic points of similar complicated networks, together with social networks, quotation networks, organic networks, molecular networks, and different networks coming up from the Internet.
Read Online or Download Algorithms and Models for the Web Graph: 11th International Workshop, WAW 2014, Beijing, China, December 17-18, 2014, Proceedings PDF
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Additional resources for Algorithms and Models for the Web Graph: 11th International Workshop, WAW 2014, Beijing, China, December 17-18, 2014, Proceedings
Physical Review E 25. : Approximating clustering coeﬃcient and transitivity. Journal of Graph Algorithms and Applications 26. Schank, Thomas, Wagner, Dorothea: Finding, Counting and Listing All Triangles in Large Graphs, an Experimental Study. In: Nikoletseas, Sotiris E. ) WEA 2005. LNCS, vol. 3503, pp. 606–609. Springer, Heidelberg (2005) 27. : Counting triangles and the curse of the last reducer. In: WWW 2011 (2011) 28. : Doulion: counting triangles in massive graphs with a coin. In: KDD 2009 (2009) 29.
Acad. Sci. USA 99, 2566–2572 (2002) 21. : Intensity and coherence of motifs in weighted complex networks. Physical Review E 22. : Clustering in weighted networks. Social Networks 23. : Colorful triangle counting and a mapreduce implementation 24. : Generalizations of the clustering coeﬃcient to weighted complex networks. Physical Review E 25. : Approximating clustering coeﬃcient and transitivity. Journal of Graph Algorithms and Applications 26. Schank, Thomas, Wagner, Dorothea: Finding, Counting and Listing All Triangles in Large Graphs, an Experimental Study.
Namely, let σ ∈ R and deﬁne A = I − aDσ , (21) with adσmax < 1. We ﬁrst analyse [I − AP ]−1 with the help of a Laurent series expansion. Let T (ε) = T0 − εT1 be a substochastic matrix for small values of ε and let T0 be a stochastic matrix with associated stationary distribution ξ T and deviation matrix H = (I − T0 + 1ξ T )−1 − 1ξ T . 8 from ) [I − T (ε)]−1 = 1 X−1 + X0 + εX1 + . . , ε (22) Personalized PageRank with Node-Dependent Restart 29 where the ﬁrst two coeﬃcients are given by X−1 = 1 πT T 11 1ξ T , (23) and X0 = (I − X−1 T1 )H(I − T1 X−1 ).
Algorithms and Models for the Web Graph: 11th International Workshop, WAW 2014, Beijing, China, December 17-18, 2014, Proceedings by Anthony Bonato, Fan Chung Graham, Pawel Pralat