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This book constitutes the proceedings of the 17th International Workshop on Algorithms and Models for the Web Graph, WAW 2020, held in Warsaw, Poland, in September 2020. The 12 full papers presented in this volume were carefully reviewed and selected from 19 submissions. 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. Due to the corona pandemic the conference was postponed from June 2020 to September 2020.
This volume contains the 14 contributed papers and the contribution of the distinguished invited speaker B ́ ela Bollob ́ as presented at the 3rd Workshop on Algorithms and Models for the Web-Graph (WAW 2004), held in Rome, Italy, October 16, 2004, in conjunction with the 45th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2004). The World Wide Web has become part of our everyday life and information retrievalanddataminingontheWebisnowofenormouspracticalinterest.Some of the algorithms supporting these activities are based substantially on viewing the Web as a graph, induced in various ways by links among pages, links among hosts, or other similar networks. Theaimofthe2004WorkshoponAlgorithmsandModelsfortheWeb-Graph was to further the understanding of these Web-induced graphs, and stimulate the development of high-performance algorithms and applications that use the graphstructureoftheWeb.Theworkshopwasmeantbothtofosteranexchange of ideas among the diverse set of researchers already involved in this topic, and to act as an introduction for the larger community to the state of the art in this area. This was the third edition of a very successful workshop on this topic, WAW 2002 was held in Vancouver, Canada, in conjunction with the 43rd - nual IEEE Symposium on Foundations of Computer Science, FOCS 2002, and WAW 2003 was held in Budapest, Hungary, in conjunction with the 12th Int- national World Wide Web Conference, WWW 2003. This was the ?rst edition of the workshop with formal proceedings.
This volume constitutes the refereed proceedings of the 6th Workshop on - gorithms and Models for the Web Graph, WAW 2009, held in Barcelona in February 2009. 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, links among hosts, or other similar networks. We also witness an increasing role of the second-generation Web-based applications Web 2.0, such as social networking sites and wiki sites. The workshop program consisted of 14 regular papers and two invited talks. The invited talks were given by Ravi Kumar (Yahoo! Research, USA) and Jos´ e Fernando Mendes (University of Aveiro, Portugal). The regular papers went through a thorough review process. The workshop papers were naturally cl- tered in three sections: “Graph Models for Complex Networks,” “PageRankand Web Graph” and “Social Networks and Search.” The ?rst section lays a foun- tionfor theoreticalandempiricalanalysisoftheWeb graphandWeb 2.0graphs.
This book constitutes the refereed proceedings of the 8th International Workshop on Algorithms and Models for the Web-Graph, WAW 2011, held in Atlanta, GA, in May 2011 - co-located with RSA 2011, the 15th International Conference on Random Structures and Algorithms. The 13 revised full papers presented together with 1 invited lecture were carefully reviewed and selected from 19 submissions. Addressing a wide variety of topics related to the study of the Web-graph such as theoretical and empirical analysis, the papers feature original research in terms of algorithmic and mathematical analysis in all areas pertaining to the World-Wide Web with special focus to the view of complex data as networks.
This book constitutes the proceedings of the 14th International Workshop Algorithms and Models for the Web Graph, WAW 2017, held in Toronto, ON, Canada, in June 2017. The 7 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The papers are organized around topics such as graphs that arise from the Web and various user activities on the Web; the development of high Performance algorithms and applications that exploit these graphs; graph-theoretic and algorithmic aspects of related complex networks; social networks, citation networks, biological networks; molecular networks, and other networks arising from the Internet.
This book constitutes the proceedings of the 13th International Workshop on Algorithms and Models for the Web Graph, WAW 2016, held in Montreal, QC, Canada, in December 2016. The 13 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The workshop gathered the researchers who are 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 book constitutes the revised papers of the Fourth International Workshop on Algorithms and Models for the Web-Graph, WAW 2006, held in Banff, Canada, November 30 - December 1, 2006. The 12 revised full papers and 3 posters presented were carefully reviewed and selected from 28 submissions for inclusion in the book. The papers address a wide variety of topics related to the study of the Web-graph such as algorithms for the Web-graph, PageRank analysis and computational as well as clustering.
"A Course on the Web Graph provides a comprehensive introduction to state-of-the-art research on the applications of graph theory to real-world networks such as the web graph. It is the first mathematically rigorous textbook discussing both models of the web graph and algorithms for searching the web. After introducing key tools required for the study of web graph mathematics, an overview is given of the most widely studied models for the web graph. A discussion of popular web search algorithms, e.g. PageRank, is followed by additional topics, such as applications of infinite graph theory to the web graph, spectral properties of power law graphs, domination in the web graph, and the spread of viruses in networks. The book is based on a graduate course taught at the AARMS 2006 Summer School at Dalhousie University. As such it is self-contained and includes over 100 exercises. The reader of the book will gain a working knowledge of current research in graph theory and its modern applications. In addition, the reader will learn first-hand about models of the web, and the mathematics underlying modern search engines."--Publisher's description.
This book constitutes the proceedings of the 12th International Workshop on Algorithms and Models for the Web Graph, WAW 2015, held in Eindhoven, The Netherlands, in December 2015. The 15 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They are organized in topical sections named: properties of large graph models, dynamic processes on large graphs, and properties of PageRank on large graphs.
Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be available at: http://www.cambridge.org/9781107125773.