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Transcription:

Lecture Notes in Computer Science 10836 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zurich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology Madras, Chennai, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany

More information about this series at http://www.springer.com/series/7407

Anthony Bonato Paweł Prałat Andrei Raigorodskii (Eds.) Algorithms and Models for the Web Graph 15th International Workshop, WAW 2018 Moscow, Russia, May 17 18, 2018 Proceedings 123

Editors Anthony Bonato Department of Mathematics Ryerson University Toronto, ON Canada Paweł Prałat Department of Mathematics Ryerson University Toronto, ON Canada Andrei Raigorodskii Department of Discrete Mathematics Moscow Institute of Physics and Technology Dolgoprudny Russia ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-319-92870-8 ISBN 978-3-319-92871-5 (ebook) https://doi.org/10.1007/978-3-319-92871-5 Library of Congress Control Number: 2018944417 LNCS Sublibrary: SL1 Theoretical Computer Science and General Issues Springer International Publishing AG, part of Springer Nature 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by the registered company Springer International Publishing AG part of Springer Nature The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface The 15th Workshop on Algorithms and Models for the Web Graph (WAW 2018) took place at the Moscow Institute of Physics and Technology, Russia, May 17 18, 2018. This is an annual meeting, which is traditionally co-located with another, related, conference. WAW 2018 was co-located with the Workshop on Graphs, Networks, and Their Applications. The co-location of the two workshops provided opportunities for researchers in two different but interrelated areas to interact and to exchange research ideas. It was an effective venue for the dissemination of new results and for fostering research collaboration. The World Wide Web has become part of our everyday life, and information retrieval and data mining on the Web are now of enormous practical interest. The algorithms supporting these activities combine the view of the Web as a text repository and as a graph, induced in various ways by links among pages, hosts and users. The aim of the workshop was to further the understanding of graphs that arise from the Web and various user activities on the Web, and stimulate the development of high-performance algorithms and applications that exploit these graphs. The workshop gathered together researchers working on graph-theoretic and algorithmic aspects of related complex networks, including social networks, citation networks, biological networks, molecular networks, and other networks arising from the Internet. This volume contains the papers presented during the workshop. Each submission was reviewed by Program Committee members. Papers were submitted and reviewed using the EasyChair online system. The committee members accepted 11 papers. May 2018 Anthony Bonato Paweł Prałat Andrei Raigorodskii

Organization General Chairs Andrei Z. Broder Fan Chung Graham Google Research, USA University of California San Diego, USA Organizing Committee Anthony Bonato Paweł Prałat Andrei Raigorodskii Ryerson University, Canada Ryerson University, Canada MIPT, Russia Program Committee Konstantin Avratchenkov Paolo Boldi Anthony Bonato Milan Bradonjic Fan Chung Graham Collin Cooper Andrzej Dudek Alan Frieze Aristides Gionis David Gleich Jeannette Janssen Bogumil Kaminski Ravi Kumar Silvio Lattanzi Marc Lelarge Stefano Leonardi Nelly Litvak Michael Mahoney Oliver Mason Dieter Mitsche Peter Morters Tobias Mueller Liudmila Ostroumova Pan Peng Xavier Perez-Gimenez Pawel Pralat Yana Volkovich Stephen Young Inria, France University of Milan, Italy Ryerson University, Canada Bell, USA UC San Diego, USA King s College London, UK Western Michigan University, USA Carnegie Mellon University, USA Aalto University, Finland Purdue University, USA Dalhousie University, Canada Warsaw School of Economics, Poland Google Research, USA Google Research, USA Inria, France Sapienza University of Rome, Italy University of Twente, The Netherlands UC Berkeley, USA NUI Maynooth, Ireland Université de Nice Sophia-Antipolis, France University of Bath, UK Utrecht University, The Netherlands Yandex, Russia TU Dortmund, Germany University of Nebraska-Lincoln, USA Ryerson University, Canada AppNexus, USA Pacific Northwest National Laboratory, USA

VIII Organization Sponsoring Institutions Microsoft Research New England, USA Google Research, USA Moscow Institute of Physics and Technology, Russia Yandex, Russia Internet Mathematics

Contents Finding Induced Subgraphs in Scale-Free Inhomogeneous Random Graphs........................................... 1 Ellen Cardinaels, Johan S. H. van Leeuwaarden, and Clara Stegehuis The Asymptotic Normality of the Global Clustering Coefficient in Sparse Random Intersection Graphs............................ 16 Mindaugas Bloznelis and Jerzy Jaworski Clustering Properties of Spatial Preferential Attachment Model........... 30 Lenar Iskhakov, Bogumił Kamiński, Maksim Mironov, Paweł Prałat, and Liudmila Prokhorenkova Parameter Estimators of Sparse Random Intersection Graphs with Thinned Communities................................... 44 Joona Karjalainen, Johan S. H. van Leeuwaarden, and Lasse Leskelä Joint Alignment from Pairwise Differences with a Noisy Oracle.......... 59 Michael Mitzenmacher and Charalampos E. Tsourakakis Analysis of Relaxation Time in Random Walk with Jumps............. 70 Konstantin Avrachenkov and Ilya Bogdanov QAP Analysis of Company Co-mention Network.................... 83 S. P. Sidorov, A. R. Faizliev, V. A. Balash, A. A. Gudkov, A. Z. Chekmareva, M. Levshunov, and S. V. Mironov Towards a Systematic Evaluation of Generative Network Models......... 99 Thomas Bläsius, Tobias Friedrich, Maximilian Katzmann, Anton Krohmer, and Jonathan Striebel Dynamic Competition Networks: Detecting Alliances and Leaders........ 115 Anthony Bonato, Nicole Eikmeier, David F. Gleich, and Rehan Malik An Experimental Study of the k-mxt Algorithm with Applications to Clustering Geo-Tagged Data................................. 145 Colin Cooper and Ngoc Vu A Statistical Performance Analysis of Graph Clustering Algorithms........ 170 Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, and Yuri Lawryshyn Author Index... 185