Download or read book Descriptive vs Inferential Community Detection in Networks written by Tiago P. Peixoto and published by Cambridge University Press. This book was released on 2023-08-31 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Community detection is one of the most important methodological fields of network science, and one which has attracted a significant amount of attention over the past decades. This Element closes the gap between the state-of-the-art in community detection on networks and the methods actually used in practice.
Download or read book Computational Science ICCS 2023 written by Jiří Mikyška and published by Springer Nature. This book was released on 2023-06-29 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five-volume set LNCS 14073-14077 constitutes the proceedings of the 23rd International Conference on Computational Science, ICCS 2023, held in Prague, Czech Republic, during July 3-5, 2023. The total of 188 full papers and 94 short papers presented in this book set were carefully reviewed and selected from 530 submissions. 54 full and 37 short papers were accepted to the main track; 134 full and 57 short papers were accepted to the workshops/thematic tracks. The theme for 2023, "Computation at the Cutting Edge of Science", highlights the role of Computational Science in assisting multidisciplinary research. This conference was a unique event focusing on recent developments in scalable scientific algorithms, advanced software tools; computational grids; advanced numerical methods; and novel application areas. These innovative novel models, algorithms, and tools drive new science through efficient application in physical systems, computational and systems biology, environmental systems, finance, and others.
Download or read book The Sage Handbook of Social Network Analysis written by John McLevey and published by SAGE Publications Limited. This book was released on 2023-10-01 with total page 951 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of The Sage Handbook of Social Network Analysis builds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field. Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on: · General issues such as social categories and computational social science; · Applications in contexts such as environmental policy, gender, ethnicity, cognition and social media and digital networks; · Concepts and methods such as centrality, blockmodeling, multilevel network analysis, spatial analysis, data collection, and beyond. By providing authoritative accounts of the history, theories and methodology of various disciplines and topics, the second edition of The SAGE Handbook of Social Network Analysis is designed to provide a state-of-the-art presentation of classic and contemporary views, and to lay the foundations for the further development of the area. PART 1: GENERAL ISSUES PART 2: APPLICATIONS PART 3: CONCEPTS AND METHODS
Download or read book Boolean Networks as Predictive Models of Emergent Biological Behaviors written by Jordan C. Rozum and published by Cambridge University Press. This book was released on 2024-03-28 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interacting biological systems at all organizational levels display emergent behavior. Modeling these systems is made challenging by the number and variety of biological components and interactions – from molecules in gene regulatory networks to species in ecological networks – and the often-incomplete state of system knowledge, such as the unknown values of kinetic parameters for biochemical reactions. Boolean networks have emerged as a powerful tool for modeling these systems. This Element provides a methodological overview of Boolean network models of biological systems. After a brief introduction, the authors describe the process of building, analyzing, and validating a Boolean model. They then present the use of the model to make predictions about the system's response to perturbations and about how to control its behavior. The Element emphasizes the interplay between structural and dynamical properties of Boolean networks and illustrates them in three case studies from disparate levels of biological organization.
Download or read book Complex Networks XIV written by Andreia Sofia Teixeira and published by Springer Nature. This book was released on 2023-03-29 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains contributions in the area of Network Science, presented at the 14th International Conference on Complex Networks (CompleNet), 24-28 April, 2023 in Aveiro, Portugal. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate. The audience of the work are professionals and academics working in Network Science, a highly-multidisciplinary field.
Download or read book Algorithms and Models for the Web Graph written by Megan Dewar and published by Springer Nature. This book was released on 2023-05-15 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 18th International Workshop on Algorithms and Models for the Web Graph, WAW 2023, held in Toronto, Canada, in May 23–26, 2023.The 12 Papers presented in this volume were carefully reviewed and selected from 21 submissions. The aim of the workshop was 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.
Download or read book Analysing Users Interactions with Khan Academy Repositories written by Sahar Yassine and published by Springer Nature. This book was released on 2021-11-15 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the need to explore user interaction with online learning repositories and the detection of emergent communities of users. This is done through investigating and mining the Khan Academy repository; a free, open access, popular online learning repository addressing a wide content scope. It includes large numbers of different learning objects such as instructional videos, articles, and exercises. The authors conducted descriptive analysis to investigate the learning repository and its core features such as growth rate, popularity, and geographical distribution. The authors then analyzed this graph and explored the social network structure, studied two different community detection algorithms to identify the learning interactions communities emerged in Khan Academy then compared between their effectiveness. They then applied different SNA measures including modularity, density, clustering coefficients and different centrality measures to assess the users’ behavior patterns and their presence. By applying community detection techniques and social network analysis, the authors managed to identify learning communities in Khan Academy’s network. The size distribution of those communities found to follow the power-law distribution which is the case of many real-world networks. Despite the popularity of online learning repositories and their wide use, the structure of the emerged learning communities and their social networks remain largely unexplored. This book could be considered initial insights that may help researchers and educators in better understanding online learning repositories, the learning process inside those repositories, and learner behavior.
Download or read book Community Detection in Networks with Node Covariates written by Zahra Razaee and published by . This book was released on 2017 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: Community detection or clustering is a fundamental task in the analysis of network data. Most networks come with annotations which can be in form of node covariates such as a person's age, gender and location and/or edge covariates such as time stamps and ratings. However, most of the existing community detection approaches infer the community memberships merely based on the network structure. Moreover, many real networks have a bipartite structure which makes community detection challenging. In this dissertation, we first propose a model-based approach which allows for matched communities in the bipartite setting, in addition to node covariates with information about the matching. We derive a simple fast algorithm for fitting the model, based on variational inference ideas. A variation of the model to allow for degree-correction is also considered, in addition to a novel approach to fitting such degree-corrected models. We also propose a unified affinity matrix (USim) to leverage the node covariates information that can be used in unipartite networks (directed and undirected) as well as the bipartite networks that combines the information from the network with that from the node covariates into a single similarity matrix, which can then be input to a spectral clustering algorithm. We show the effectiveness of both approaches on simulated and real data, namely, page-user networks collected from Wikipedia.
Download or read book Multimodal Political Networks written by David Knoke and published by Cambridge University Press. This book was released on 2021-05-27 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on social networks has become a significant area of investigation in the social sciences, and social network concepts and tools are widely employed across many subfields within the field. This volume introduces political theorists and researchers to new theoretical, methodological, and substantive tools for extending political network research into new realms and revitalizing established domains. The authors synthesize new understandings of multimodal political networks, consisting of two or more types of social entities - voters, politicians, parties, events, organizations, nations - and the complex relations between them. They discuss ways to theorize about multimodal connections, methods for measuring and analyzing multimodal datasets, and how the results can reveal new insights into political structures and action. Several empirical applications demonstrate in great detail how multimodal analysts can detect and visualize political communities consisting of diverse social entities.
Download or read book Community Detection in Social Networks written by Zhige Xin and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Community detection in large scale networks has recently attracted greater interest and research focus. Identifying community structure is essential for uncovering underlying functionality and interaction patterns in complex networks. In this dissertation, we divide this rather substantial topic into three related aspects: disjoint community detection, multi-view community detection and overlapping community detection. In the first part, we study the similarity measurements on disjoint community structure using spectral graph partitioning. We tested various similarity measurements not only on synthetic data but also Facebook newsgroup pages we crawled. In Facebook, various interactions make it hard to analyze network structure. To deal with this problem we derive a multi-view community detection method to uncover the latent structure of Facebook newsgroup pages. Another issue is that people can simultaneously stay in different groups, like family, friends or colleagues. Thus, mining overlapping communities can give people more sensible and meaningful results in real networks. Last, we focus on overlapping community structure and study the application of overlapping community detection in recommendation for Facebook posts.
Download or read book Dynamische Prozesse der ffentlichen Kommunikation written by Philipp Müller and published by Herbert von Halem Verlag. This book was released on 2019-10-15 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Öffentliche Kommunikationsprozesse sind im Zeitalter der Digitalisierung von einer wachsenden Dynamik geprägt. Dies stellt die Kommunikationsforschung vor erhebliche methodische Herausforderungen. Die Methodenentwicklung steckt noch in den Kinderschuhen, wenn es darum geht, die eng getakteten und komplexen Interaktionsmuster menschlicher Akteure und technischer Strukturen der digitalen Öffentlichkeit adäquat abzubilden. Empirische Studien sind dazu gezwungen, die Komplexität der Dynamiken in der sozialen Realität zu reduzieren, um diese fassbar zu machen. Damit geht jedoch stets die Gefahr einher, entscheidende Aspekte zu übersehen. Die in diesem Band versammelten Beiträge widmen sich diesem Dilemma am Beispiel verschiedener Anwendungsfelder, von der Kommunikator- und Medieninhaltsforschung bis zur Rezeptions- und Wirkungsforschung. Die Beiträge liegen auf verschiedenen Stufen des Forschungsprozesses und befassen sich mit einer Vielzahl methodischer Ansätze wie der automatisierten Inhaltsanalyse, der Netzwerkanalyse oder der qualitativen Beobachtung. Sie eint die Suche nach innovativen Lösungen für ein gemeinsames Problem, nämlich die zunehmende Dynamik öffentlicher Kommunikationsprozesse adäquat abzubilden.
Download or read book Longitudinal Network Models written by Scott Duxbury and published by SAGE Publications. This book was released on 2022-12-13 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although longitudinal social network data are increasingly collected, there are few guides on how to navigate the range of available tools for longitudinal network analysis. The applied social scientist is left to wonder: Which model is most appropriate for my data? How should I get started with this modeling strategy? And how do I know if my model is any good? This book answers these questions. Author Scott Duxbury assumes that the reader is familiar with network measurement, description, and notation, and is versed in regression analysis, but is likely unfamiliar with statistical network methods. The goal of the book is to guide readers towards choosing, applying, assessing, and interpreting a longitudinal network model, and each chapter is organized with a specific data structure or research question in mind. A companion website includes data and R code to replicate the examples in the book.
Download or read book Community Detection and Mining in Social Media written by Lei Tang and published by Morgan & Claypool Publishers. This book was released on 2010-05-05 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly imaginable just a short time ago. Social media also helps reshape business models, sway opinions and emotions, and opens up numerous possibilities to study human interaction and collective behavior in an unparalleled scale. This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular, we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. This book is an accessible introduction to the study of \emph{community detection and mining in social media}. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, some toy data sets used in the book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information. Table of Contents: Social Media and Social Computing / Nodes, Ties, and Influence / Community Detection and Evaluation / Communities in Heterogeneous Networks / Social Media Mining
Download or read book Emerging Extended Reality Technologies for Industry 4 0 written by Jolanda G. Tromp and published by John Wiley & Sons. This book was released on 2020-04-07 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the fast-developing world of Industry 4.0, which combines Extended Reality (XR) technologies, such as Virtual Reality (VR) and Augmented Reality (AR), creating location aware applications to interact with smart objects and smart processes via Cloud Computing strategies enabled with Artificial Intelligence (AI) and the Internet of Things (IoT), factories and processes can be automated and machines can be enabled with self-monitoring capabilities. Smart objects are given the ability to analyze and communicate with each other and their human co-workers, delivering the opportunity for much smoother processes, and freeing up workers for other tasks. Industry 4.0 enabled smart objects can be monitored, designed, tested and controlled via their digital twins, and these processes and controls are visualized in VR/AR. The Industry 4.0 technologies provide powerful, largely unexplored application areas that will revolutionize the way we work, collaborate and live our lives. It is important to understand the opportunities and impact of the new technologies and the effects from a production, safety and societal point of view.
Download or read book Statistical Analysis of Network Data with R written by Eric D. Kolaczyk and published by Springer Nature. This book was released on 2020-06-02 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. The new edition of this book includes an overhaul to recent changes in igraph. The material in this book is organized to flow from descriptive statistical methods to topics centered on modeling and inference with networks, with the latter separated into two sub-areas, corresponding first to the modeling and inference of networks themselves, and then, to processes on networks. The book begins by covering tools for the manipulation of network data. Next, it addresses visualization and characterization of networks. The book then examines mathematical and statistical network modeling. This is followed by a special case of network modeling wherein the network topology must be inferred. Network processes, both static and dynamic are addressed in the subsequent chapters. The book concludes by featuring chapters on network flows, dynamic networks, and networked experiments. Statistical Analysis of Network Data with R, 2nd Ed. has been written at a level aimed at graduate students and researchers in quantitative disciplines engaged in the statistical analysis of network data, although advanced undergraduates already comfortable with R should find the book fairly accessible as well.
Download or read book Community Detection in Complex Networks A Research View written by G. T. Prabavathi and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Social Network Analysis written by David Knoke and published by SAGE Publications. This book was released on 2019-12-02 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: David Knoke and Song Yang′s Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data.
