By Evimaria Terzi, Marco Winkler (auth.), Alan Frieze, Paul Horn, Paweł Prałat (eds.)
This booklet constitutes the refereed court cases of the eighth overseas Workshop on Algorithms and versions for the Web-Graph, WAW 2011, held in Atlanta, GA, in could 2011 - co-located with RSA 2011, the fifteenth overseas convention on Random buildings and Algorithms.
The thirteen revised complete papers offered including 1 invited lecture have been conscientiously reviewed and chosen from 19 submissions. Addressing a large choice of issues regarding the learn of the Web-graph corresponding to theoretical and empirical research, the papers function unique learn by way of algorithmic and mathematical research in all parts touching on the World-Wide net with specified concentration to the view of advanced information as networks.
Read or Download Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings PDF
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Additional resources for Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings
2(a). Clusterings are displayed as colorings of the original points in the 2-d plane. These are ordered to maximize cumulative set-wise information. Notice how the first two representative-clusterings recover the original nine clusterings exactly. with little error. We see also that the two factors are identified perfectly by each of these clusterings individually. 2 Ordering by Set-Wise Information Content In Fig. 4, the original 3x3 community structure can be reconstructed using only the first two representative-clusterings.
The smallest β-value for most (α, β)communities is given by 19, thus removing vertices of degree lower than 19 will get rid of insigniﬁcant low-degree vertices without destroying the fundamental structure of the graph. Again, the (α, β)-Community algorithm is applied to this graph with minimum degree 19 for k = 200, 250, 300, 350, 400, and exactly two disjoint cores are obtained in each case. Between any two adjacent levels in the corresponding tree diagram, the two cores of the lower level are completely contained in those of the upper level.
How does the sampling strategy impact the discovery of information diﬀusion in social media? In: Proc. 4th Int’l AAAI Conf. Weblogs and Social Media, ICWSM (2010) 2. : Birds of a feather: does attribute homophily impact information diﬀusion on social media? (under review) 3. : Finding community structure in very large networks. Phys. Rev. E 70, 06111 (2004) 4. : Clustering. , Erlebach, T. ) Network Analysis. LNCS, vol. 3418, pp. 178–215. Springer, Heidelberg (2005) 5. : Community structure in social and biological networks.