Visual Analysis Methods For The Exploration Of Static And Dynamic Networks

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Visual Analysis Methods for the Exploration of Static and Dynamic Networks

Author : Sugeerth Murugesan
Publisher :
ISBN 13 : 9780355762976
Total Pages : pages
Book Rating : 4.7/5 (629 download)

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Book Synopsis Visual Analysis Methods for the Exploration of Static and Dynamic Networks by : Sugeerth Murugesan

Download or read book Visual Analysis Methods for the Exploration of Static and Dynamic Networks written by Sugeerth Murugesan and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Representation and analysis of networks are one of the fundamental ways to understand large, complex systems like brains, autonomous systems, and social networks. Such large systems are modeled as a network by representing their real-world objects as nodes and edges as the relationship between them. In neuroscience, for example, a core component of analysis involves modeling the connectivity of the brain into a network, where the nodes represent brain regions and the edges, the correlation among their activations. Visualization and statistical analysis of the resulting network data have provided tremendous value including identifying diagnostic indicators for neuro-degenerative diseases and age-related disruptions in the brain. Interactive visual analytic systems for exploring essential network properties have furthered our understanding of real-world systems. Many of the unforeseen patterns prevalent in brain networks are understood through the intuitive insights that these systems enable. However, existing methods for visual analytics primarily focus on static networks and do not satisfactorily explore the rich properties of network such as structural, hierarchical, semantic and time-variance. The comprehensive understanding of such properties and their complex dependencies is crucial to holistically inferring novel insights concerning the scientific data. This dissertation contributes novel visual analytics methods that explore such properties of multi-modal networks in neuroscience, autonomous systems, and social science. First, we focus on a visual analysis method that allows us to interactively explore the hierarchical modular structure of a fMRI-based brain network. Second, we contribute a multi-scale visual analysis approach to explore the time-varying modular structure of an ECoG-based brain network. Third, we contribute a novel visualization technique that identifies similarities and differences between dynamic graphs for intuitive analysis of temporal states in a time-varying network. Fourth, we propose a novel difference graph visual analysis technique that reveals significant time-varying patterns in the network dataset over multiple temporal scales. Further, the dissertation concludes with high-level ideas and techniques that are investigated and briefly explores open research areas in graph visualization.

Visual Analysis of Multilayer Networks

Author : Fintan McGee
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636391443
Total Pages : 152 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Visual Analysis of Multilayer Networks by : Fintan McGee

Download or read book Visual Analysis of Multilayer Networks written by Fintan McGee and published by Morgan & Claypool Publishers. This book was released on 2021-06-10 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an overview and structured analysis of contemporary multilayer network visualization. It surveys techniques as well as tools, tasks, and analytics from within application domains. It also identifies research opportunities and examines outstanding challenges along with potential solutions and future research directions for addressing them. Visual Analysis of Multilayer Networks is not only for visualization researchers, but for those who need to visualize multilayer networks in the domain of complex systems, as well as anyone solving problems within application domains. The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization.

Multiscale Visual Analysis of Dynamic Networks

Author : Eren Cakmak
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (136 download)

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Book Synopsis Multiscale Visual Analysis of Dynamic Networks by : Eren Cakmak

Download or read book Multiscale Visual Analysis of Dynamic Networks written by Eren Cakmak and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Connections, Changes, and Cubes

Author : Benjamin Bach
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (883 download)

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Book Synopsis Connections, Changes, and Cubes by : Benjamin Bach

Download or read book Connections, Changes, and Cubes written by Benjamin Bach and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks are models that help us understanding and thinking about relationships between entities in the real world. Many of these networks are dynamic, i.e. connectivity changes over time. Understanding changes in connectivity means to understand interactions between elements of complex systems; how people create and break up friendship relations, how signals get passed in the brain, how business collaborations evolve, or how food-webs restructure after environmental changes. However, understanding static networks is already difficult, due to size, density, attributes and particular motifs; changes over time very much increase this complexity. Quantification of change is often insufficient, but beyond an analysis that is driven by technology and algorithms, humans dispose a unique capability of understanding and interpreting information in data, based on vision and cognition. This dissertation explores ways to interactively explore dynamic networks by means of visualization. I develop and evaluate techniques to unfold the complexity of dynamic networks, making them understandable by looking at them from different angles, decomposing them into their parts and relating the parts in novel ways. While most techniques for dynamic network visualization rely on one particular type of view on the data, complementary visualizations allow for higher-level exploration and analysis. Covering three aspects Tasks, Visualization Design and Evaluation, I develop and evaluate the following unfolding techniques: (i) temporal navigation between individual time steps of a network and improved animated transitions to better understand changes, (ii) designs for the comparison of weighted graphs, (iii) the Matrix Cube, a space-time cube based on adjacency matrices, allowing to visualize dense dynamic networks by, as well as GraphCuisine, a system to (iv) generate synthetic networks with the primary focus on evaluating visualizations in user studies. In order to inform the design and evaluation of visualizations, we (v) provide a task taxonomy capturing users' tasks when exploring dynamic networks. Finally, (vi) the idea of unfolding networks with Matrix Cubes is generalized to other data sets that can be represented in space-time cubes (videos, geographical data, etc.). Visualizations in these domains can inspire visualizations for dynamic networks, and vice-versa. We propose a taxonomy of operations, describing how 3D space-time cubes are decomposed into a large variety of 2D visualizations. These operations help us exploring the design space for visualizing and interactively unfolding dynamic networks and other spatio-temporal data, as well as may serve users as a mental model of the data.

Motif-Based Visual Analysis of Dynamic Networks

Author : Eren Cakmak
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Motif-Based Visual Analysis of Dynamic Networks by : Eren Cakmak

Download or read book Motif-Based Visual Analysis of Dynamic Networks written by Eren Cakmak and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Marketing and Smart Technologies

Author : José Luís Reis
Publisher : Springer Nature
ISBN 13 : 9811990999
Total Pages : 799 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Marketing and Smart Technologies by : José Luís Reis

Download or read book Marketing and Smart Technologies written by José Luís Reis and published by Springer Nature. This book was released on 2023-05-11 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2022), held at Universidade de Santiago de Compostela, Spain, during December 1–3, 2022. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.

Network-based Visual Analysis of Tabular Data

Author : Zhicheng Liu
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (81 download)

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Book Synopsis Network-based Visual Analysis of Tabular Data by : Zhicheng Liu

Download or read book Network-based Visual Analysis of Tabular Data written by Zhicheng Liu and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Tabular data is pervasive in the form of spreadsheets and relational databases. Although tables often describe multivariate data without explicit network semantics, it may be advantageous to explore the data modeled as a graph or network for analysis. Even when a given table design conveys some static network semantics, analysts may want to look at multiple networks from different perspectives, at different levels of abstraction, and with different edge semantics. This dissertation is motivated by the observation that a general approach for performing multi-dimensional and multi-level network-based visual analysis on multivariate tabular data is necessary. We present a formal framework based on the relational data model that systematically specifies the construction and transformation of graphs from relational data tables. In the framework, a set of relational operators provide the basis for rich expressive power for network modeling. Powered by this relational algebraic framework, we design and implement a visual analytics system called Ploceus. Ploceus supports flexible construction and transformation of networks through a direct manipulation interface, and integrates dynamic network manipulation with visual exploration for a seamless analytic experience.

The Influence of Technology on Social Network Analysis and Mining

Author : Tansel Özyer
Publisher : Springer Science & Business Media
ISBN 13 : 3709113466
Total Pages : 652 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis The Influence of Technology on Social Network Analysis and Mining by : Tansel Özyer

Download or read book The Influence of Technology on Social Network Analysis and Mining written by Tansel Özyer and published by Springer Science & Business Media. This book was released on 2013-03-15 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding General areas of interest to the book include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.

Network Science in Archaeology

Author : Tom Brughmans
Publisher : Cambridge University Press
ISBN 13 : 1009186140
Total Pages : 361 pages
Book Rating : 4.0/5 (91 download)

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Book Synopsis Network Science in Archaeology by : Tom Brughmans

Download or read book Network Science in Archaeology written by Tom Brughmans and published by Cambridge University Press. This book was released on 2023-04-13 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Cambridge Manual to Archaeological Network Science provides the first comprehensive guide to a field of research that has firmly established itself within archaeological practice in recent years. Network science methods are commonly used to explore big archaeological datasets and are essential for the formal study of past relational phenomena: social networks, transport systems, communication, and exchange. The volume offers a step-by-step description of network science methods and explores its theoretical foundations and applications in archaeological research, which are elaborately illustrated with archaeological examples. It also covers a vast range of network science techniques that can enhance archaeological research, including network data collection and management, exploratory network analysis, sampling issues and sensitivity analysis, spatial networks, and network visualisation. An essential reference handbook for both beginning and experienced archaeological network researchers, the volume includes boxes with definitions, boxed examples, exercises, and online supplementary learning and teaching materials.

Computer Supported Cooperative Work and Social Computing

Author : Yuqing Sun
Publisher : Springer Nature
ISBN 13 : 9811945497
Total Pages : 548 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Computer Supported Cooperative Work and Social Computing by : Yuqing Sun

Download or read book Computer Supported Cooperative Work and Social Computing written by Yuqing Sun and published by Springer Nature. This book was released on 2022-07-21 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021. The conference was held in a hybrid mode i.e. online and on-site in Xiangtan due to the COVID-19 crisis. The 65 revised full papers and 22 revised short papers were carefully reviewed and selected from 242 submissions. The papers are organized in the following topical sections: Volume I: Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications; Volume II: Crowd Intelligence and Crowd Cooperative Computing; Social Media and Online Communities.

Advances in Visual Computing

Author : George Bebis
Publisher : Springer Nature
ISBN 13 : 3030337200
Total Pages : 718 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advances in Visual Computing by : George Bebis

Download or read book Advances in Visual Computing written by George Bebis and published by Springer Nature. This book was released on 2019-10-25 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV, USA in October 2019. The 100 papers presented in this double volume were carefully reviewed and selected from 163 submissions. The papers are organized into the following topical sections: Deep Learning I; Computer Graphics I; Segmentation/Recognition; Video Analysis and Event Recognition; Visualization; ST: Computational Vision, AI and Mathematical methods for Biomedical and Biological Image Analysis; Biometrics; Virtual Reality I; Applications I; ST: Vision for Remote Sensing and Infrastructure Inspection; Computer Graphics II; Applications II; Deep Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster.

Empirical Research for Software Security

Author : Lotfi ben Othmane
Publisher : CRC Press
ISBN 13 : 1351650882
Total Pages : 216 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Empirical Research for Software Security by : Lotfi ben Othmane

Download or read book Empirical Research for Software Security written by Lotfi ben Othmane and published by CRC Press. This book was released on 2017-11-28 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing secure software requires the integration of numerous methods and tools into the development process, and software design is based on shared expert knowledge, claims, and opinions. Empirical methods, including data analytics, allow extracting knowledge and insights from the data that organizations collect from their processes and tools, and from the opinions of the experts who practice these processes and methods. This book introduces the reader to the fundamentals of empirical research methods, and demonstrates how these methods can be used to hone a secure software development lifecycle based on empirical data and published best practices.

Classics from IJGIS

Author : Peter Fisher
Publisher : CRC Press
ISBN 13 : 1420006371
Total Pages : 585 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Classics from IJGIS by : Peter Fisher

Download or read book Classics from IJGIS written by Peter Fisher and published by CRC Press. This book was released on 2006-07-20 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past 20 years can be regarded as the adolescence of geographic information science (GIS), as it grew from a burgeoning area of study into a mature and thriving field. During those two decades, the International Journal of Geographic Information Science (formerly Systems) (IJGIS) was one of the most prominent academic guiding forces in GIScience

Approaches in Integrative Bioinformatics

Author : Ming Chen
Publisher : Springer Science & Business Media
ISBN 13 : 3642412815
Total Pages : 385 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Approaches in Integrative Bioinformatics by : Ming Chen

Download or read book Approaches in Integrative Bioinformatics written by Ming Chen and published by Springer Science & Business Media. This book was released on 2014-01-18 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approaches in Integrative Bioinformatics provides a basic introduction to biological information systems, as well as guidance for the computational analysis of systems biology. This book also covers a range of issues and methods that reveal the multitude of omics data integration types and the relevance that integrative bioinformatics has today. Topics include biological data integration and manipulation, modeling and simulation of metabolic networks, transcriptomics and phenomics, and virtual cell approaches, as well as a number of applications of network biology. It helps to illustrate the value of integrative bioinformatics approaches to the life sciences. This book is intended for researchers and graduate students in the field of Bioinformatics. Professor Ming Chen is the Director of the Bioinformatics Laboratory at the College of Life Sciences, Zhejiang University, Hangzhou, China. Professor Ralf Hofestädt is the Chair of the Department of Bioinformatics and Medical Informatics, Bielefeld University, Germany.

Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments

Author : Marcin Woźniak
Publisher : MDPI
ISBN 13 : 3036512683
Total Pages : 454 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments by : Marcin Woźniak

Download or read book Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments written by Marcin Woźniak and published by MDPI. This book was released on 2021-09-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –

Encyclopedia of Ecology

Author : Brian D. Fath
Publisher : Elsevier
ISBN 13 : 0444641300
Total Pages : 2786 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Encyclopedia of Ecology by : Brian D. Fath

Download or read book Encyclopedia of Ecology written by Brian D. Fath and published by Elsevier. This book was released on 2018-08-23 with total page 2786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Ecology, Second Edition, Four Volume Set continues the acclaimed work of the previous edition published in 2008. It covers all scales of biological organization, from organisms, to populations, to communities and ecosystems. Laboratory, field, simulation modelling, and theoretical approaches are presented to show how living systems sustain structure and function in space and time. New areas of focus include micro- and macro scales, molecular and genetic ecology, and global ecology (e.g., climate change, earth transformations, ecosystem services, and the food-water-energy nexus) are included. In addition, new, international experts in ecology contribute on a variety of topics. Offers the most broad-ranging and comprehensive resource available in the field of ecology Provides foundational content and suggests further reading Incorporates the expertise of over 500 outstanding investigators in the field of ecology, including top young scientists with both research and teaching experience Includes multimedia resources, such as an Interactive Map Viewer and links to a CSDMS (Community Surface Dynamics Modeling System), an open-source platform for modelers to share and link models dealing with earth system processes

Temporal Network Theory

Author : Petter Holme
Publisher : Springer Nature
ISBN 13 : 3031303997
Total Pages : 486 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Temporal Network Theory by : Petter Holme

Download or read book Temporal Network Theory written by Petter Holme and published by Springer Nature. This book was released on 2023-11-20 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena. Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the “big data” sets. This book appeals to students, researchers, and professionals interested in theory and temporal networks—a field that has grown tremendously over the last decade. This second edition of Temporal Network Theory extends the first with three chapters highlighting recent developments in the interface with machine learning.