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WAW 2019: Brisbane, QLD, Australia

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Konstantin Avrachenkov, Pawel Pralat, Nan Ye:
Algorithms and Models for the Web Graph - 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019, Proceedings. Lecture Notes in Computer Science 11631, Springer 2019, ISBN 978-3-030-25069-0
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Liudmila Prokhorenkova:
Using Synthetic Networks for Parameter Tuning in Community Detection. 1-15
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Rinat Aynulin:
Efficiency of Transformations of Proximity Measures for Graph Clustering. 16-29
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Konstantin Avrachenkov, Maximilien Dreveton:
Almost Exact Recovery in Label Spreading. 30-43
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Christopher Duffy, Jeannette C. M. Janssen:
Strongly n-e.c. Graphs and Independent Distinguishing Labellings. 44-56
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  - conf/waw/DavidsonG19
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A. Davidson, Ayalvadi Ganesh:
The Robot Crawler Model on Complete k-Partite and Erdős-Rényi Random Graphs. 57-70
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Matthew Roughan, Jonathan Tuke, Eric Parsonage:
Estimating the Parameters of the Waxman Random Graph. 71-86
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Thomas Bläsius, Philipp Fischbeck, Tobias Friedrich, Martin Schirneck:
Understanding the Effectiveness of Data Reduction in Public Transportation Networks. 87-101
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  - conf/waw/HeydenreichH19
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Markus Heydenreich, Christian Hirsch:
A Spatial Small-World Graph Arising from Activity-Based Reinforcement. 102-114
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Alessia Antelmi, Gennaro Cordasco, Bogumil Kaminski, Pawel Pralat, Vittorio Scarano, Carmine Spagnuolo, Przemyslaw Szufel:
SimpleHypergraphs.jl - Novel Software Framework for Modelling and Analysis of Hypergraphs. 115-129

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