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Relevant bibliographies by topics / Interactive graph visualization

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Academic literature on the topic 'Interactive graph visualization'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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Journal articles on the topic "Interactive graph visualization"

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Mikheenko, Alla, and Mikhail Kolmogorov. "Assembly Graph Browser: interactive visualization of assembly graphs." Bioinformatics 35, no. 18 (February 4, 2019): 3476–78. http://dx.doi.org/10.1093/bioinformatics/btz072.

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Abstract Summary Currently, most genome assembly projects focus on contigs and scaffolds rather than assembly graphs that provide a more comprehensive representation of an assembly. Since interactive visualization of large assembly graphs remains an open problem, we developed an Assembly Graph Browser (AGB) tool that visualizes large assembly graphs, extending the functionality of previously developed visualization approaches. Assembly Graph Browser includes a number of novel functions including repeat analysis, construction of the contracted assembly graphs (i.e. the graphs obtained by collapsing a selected set of edges) and a new approach to visualizing large assembly graphs. Availability and implementation http://www.github.com/almiheenko/AGB. Supplementary information Supplementary data are available at Bioinformatics online.

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Tominski, Christian, James Abello, and Heidrun Schumann. "CGV—An interactive graph visualization system." Computers & Graphics 33, no. 6 (December 2009): 660–78. http://dx.doi.org/10.1016/j.cag.2009.06.002.

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Kelley, Sean, Edward Aftandilian, Connor Gramazio, Nathan Ricci, Sara L. Su, and Samuel Z. Guyer. "Heapviz: Interactive heap visualization for program understanding and debugging." Information Visualization 12, no. 2 (May 7, 2012): 163–77. http://dx.doi.org/10.1177/1473871612438786.

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Understanding the data structures in a program is crucial to understanding how the program works, or why it does not work. Inspecting the code that implements the data structures, however, is an arduous task and often fails to yield insights into the global organization of a program’s data. Inspecting the actual contents of the heap solves these problems but presents a significant challenge of its own: finding an effective way to present the enormous number of objects it contains. In this paper we present Heapviz, a tool for visualizing and exploring snapshots of the heap obtained from a running Java program. Unlike existing tools, such as traditional debuggers, Heapviz presents a global view of the program state as a graph, together with powerful interactive capabilities for navigating it. Our tool employs several key techniques that help manage the scale of the data. First, we reduce the size and complexity of the graph by using algorithms inspired by static shape analysis to aggregate the nodes that make up a data structure. Second, we implement a powerful visualization component whose interactive interface provides extensive support for exploring the graph. The user can search for objects based on type, connectivity, and field values; group objects; and color or hide and show each group. The user may also inspect individual objects to see their field values and neighbors in the graph. These interactive abilities help the user manage the complexity of these huge graphs. By applying Heapviz to both constructed and real-world examples, we show that it provides programmers with a powerful and intuitive tool for exploring program behavior.

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Dogrusoz, U., and B. Genc. "A multi-graph approach to complexity management in interactive graph visualization." Computers & Graphics 30, no. 1 (February 2006): 86–97. http://dx.doi.org/10.1016/j.cag.2005.10.015.

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Sheng-Jie Luo, Chun-Liang Liu, Bing-Yu Chen, and Kwan-Liu Ma. "Ambiguity-Free Edge-Bundling for Interactive Graph Visualization." IEEE Transactions on Visualization and Computer Graphics 18, no. 5 (May 2012): 810–21. http://dx.doi.org/10.1109/tvcg.2011.104.

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Li, Nan, Dominique Brossard, Dietram A. Scheufele, Paul H. Wilson, and Kathleen M. Rose. "Communicating data: interactive infographics, scientific data and credibility." Journal of Science Communication 17, no. 02 (June 18, 2018): A06. http://dx.doi.org/10.22323/2.17020206.

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Information visualization could be used to leverage the credibility of displayed scientific data. However, little was known about how display characteristics interact with individuals' predispositions to affect perception of data credibility. Using an experiment with 517 participants, we tested perceptions of data credibility by manipulating data visualizations related to the issue of nuclear fuel cycle based on three characteristics: graph format, graph interactivity, and source attribution. Results showed that viewers tend to rely on preexisting levels of trust and peripheral cues, such as source attribution, to judge the credibility of shown data, whereas their comprehension level did not relate to perception of data credibility. We discussed the implications for science communicators and design professionals.

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Jonker, David, Scott Langevin, David Giesbrecht, Michael Crouch, and Nathan Kronenfeld. "Graph mapping: Multi-scale community visualization of massive graph data." Information Visualization 16, no. 3 (August 11, 2016): 190–204. http://dx.doi.org/10.1177/1473871616661195.

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Graph visualizations increase the perception of entity relationships in a network. However, as graph size and density increases, readability rapidly diminishes. In this article, we present an end-to-end, tile-based visual analytic approach called graph mapping that utilizes cluster computing to turn large-scale graph (node–link) data into interactive visualizations in modern web browsers. Our approach is designed for end-user analysis of community structure and relationships at macro- and micro scales. We also present the results of several experiments using alternate methods for qualitatively improving comprehensibility of hierarchical community detection visualizations by proposing constraints to state-of-the-art modularity maximization algorithms.

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Cruz, António, Joel P. Arrais, and Penousal Machado. "Interactive and coordinated visualization approaches for biological data analysis." Briefings in Bioinformatics 20, no. 4 (March 26, 2018): 1513–23. http://dx.doi.org/10.1093/bib/bby019.

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AbstractThe field of computational biology has become largely dependent on data visualization tools to analyze the increasing quantities of data gathered through the use of new and growing technologies. Aside from the volume, which often results in large amounts of noise and complex relationships with no clear structure, the visualization of biological data sets is hindered by their heterogeneity, as data are obtained from different sources and contain a wide variety of attributes, including spatial and temporal information. This requires visualization approaches that are able to not only represent various data structures simultaneously but also provide exploratory methods that allow the identification of meaningful relationships that would not be perceptible through data analysis algorithms alone. In this article, we present a survey of visualization approaches applied to the analysis of biological data. We focus on graph-based visualizations and tools that use coordinated multiple views to represent high-dimensional multivariate data, in particular time series gene expression, protein–protein interaction networks and biological pathways. We then discuss how these methods can be used to help solve the current challenges surrounding the visualization of complex biological data sets.

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Cox, Steven, Stanley C. Ahalt, James Balhoff, Chris Bizon, Karamarie Fecho, Yaphet Kebede, Kenneth Morton, Alexander Tropsha, Patrick Wang, and Hao Xu. "Visualization Environment for Federated Knowledge Graphs: Development of an Interactive Biomedical Query Language and Web Application Interface." JMIR Medical Informatics 8, no. 11 (November 23, 2020): e17964. http://dx.doi.org/10.2196/17964.

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Background Efforts are underway to semantically integrate large biomedical knowledge graphs using common upper-level ontologies to federate graph-oriented application programming interfaces (APIs) to the data. However, federation poses several challenges, including query routing to appropriate knowledge sources, generation and evaluation of answer subsets, semantic merger of those answer subsets, and visualization and exploration of results. Objective We aimed to develop an interactive environment for query, visualization, and deep exploration of federated knowledge graphs. Methods We developed a biomedical query language and web application interphase—termed as Translator Query Language (TranQL)—to query semantically federated knowledge graphs and explore query results. TranQL uses the Biolink data model as an upper-level biomedical ontology and an API standard that has been adopted by the Biomedical Data Translator Consortium to specify a protocol for expressing a query as a graph of Biolink data elements compiled from statements in the TranQL query language. Queries are mapped to federated knowledge sources, and answers are merged into a knowledge graph, with mappings between the knowledge graph and specific elements of the query. The TranQL interactive web application includes a user interface to support user exploration of the federated knowledge graph. Results We developed 2 real-world use cases to validate TranQL and address biomedical questions of relevance to translational science. The use cases posed questions that traversed 2 federated Translator API endpoints: Integrated Clinical and Environmental Exposures Service (ICEES) and Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP). ICEES provides open access to observational clinical and environmental data, and ROBOKOP provides access to linked biomedical entities, such as “gene,” “chemical substance,” and “disease,” that are derived largely from curated public data sources. We successfully posed queries to TranQL that traversed these endpoints and retrieved answers that we visualized and evaluated. Conclusions TranQL can be used to ask questions of relevance to translational science, rapidly obtain answers that require assertions from a federation of knowledge sources, and provide valuable insights for translational research and clinical practice.

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Farooq, Humera, Nordin Zakaria, and Muhammad Tariq Siddique. "An Interactive Visualization of Genetic Algorithm on 2-D Graph." International Journal of Software Science and Computational Intelligence 4, no. 1 (January 2012): 34–54. http://dx.doi.org/10.4018/jssci.2012010102.

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The visualization of search space makes it easy to understand the behavior of the Genetic Algorithm (GA). The authors propose a novel way for representation of multidimensional search space of the GA using 2-D graph. This is carried out based on the gene values of the current generation, and human intervention is only required after several generations. The main contribution of this research is to propose an approach to visualize the GA search data and improve the searching process of the GA with human’s intention in different generations. Besides the selection of best individual or parents for the next generation, interference of human is required to propose a new individual in the search space. Active human intervention leads to a faster searching, resulting in less user fatigue. The experiments were carried out by evolving the parameters to derive the rules for a Parametric L-System. These rules are then used to model the growth process of branching structures in 3-D space. The experiments were conducted to evaluate the ability of the proposed approach to converge to optimized solution as compared to the Simple Genetic Algorithm (SGA).

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Dissertations / Theses on the topic "Interactive graph visualization"

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Pavlo, Andrew. "Interactive, tree-based graph visualization /." Link to online version, 2006. https://ritdml.rit.edu/dspace/handle/1850/1543.

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Tu, Ying. "Focus-based Interactive Visualization for Structured Data." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366198735.

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Kister, Ulrike. "Interactive Visualization Lenses:." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-236782.

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Information visualization is an important research field concerned with making sense and inferring knowledge from data collections. Graph visualizations are specific techniques for data representation relevant in diverse application domains among them biology, software-engineering, and business finance. These data visualizations benefit from the display space provided by novel interactive large display environments. However, these environments also cause new challenges and result in new requirements regarding the need for interaction beyond the desktop and according redesign of analysis tools. This thesis focuses on interactive magic lenses, specialized locally applied tools that temporarily manipulate the visualization. These may include magnification of focus regions but also more graph-specific functions such as pulling in neighboring nodes or locally reducing edge clutter. Up to now, these lenses have mostly been used as single-user, single-purpose tools operated by mouse and keyboard. This dissertation presents the extension of magic lenses both in terms of function as well as interaction for large vertical displays. In particular, this thesis contributes several natural interaction designs with magic lenses for the exploration of graph data in node-link visualizations using diverse interaction modalities. This development incorporates flexible switches between lens functions, adjustment of individual lens properties and function parameters, as well as the combination of lenses. It proposes interaction techniques for fluent multi-touch manipulation of lenses, controlling lenses using mobile devices in front of large displays, and a novel concept of body-controlled magic lenses. Functional extensions in addition to these interaction techniques convert the lenses to user-configurable, personal territories with use of alternative interaction styles. To create the foundation for this extension, the dissertation incorporates a comprehensive design space of magic lenses, their function, parameters, and interactions. Additionally, it provides a discussion on increased embodiment in tool and controller design, contributing insights into user position and movement in front of large vertical displays as a result of empirical investigations and evaluations
Informationsvisualisierung ist ein wichtiges Forschungsfeld, das das Analysieren von Daten unterstützt. Graph-Visualisierungen sind dabei eine spezielle Variante der Datenrepräsentation, deren Nutzen in vielerlei Anwendungsfällen zum Einsatz kommt, u.a. in der Biologie, Softwareentwicklung und Finanzwirtschaft. Diese Datendarstellungen profitieren besonders von großen Displays in neuen Displayumgebungen. Jedoch bringen diese Umgebungen auch neue Herausforderungen mit sich und stellen Anforderungen an Nutzerschnittstellen jenseits der traditionellen Ansätze, die dadurch auch Anpassungen von Analysewerkzeugen erfordern. Diese Dissertation befasst sich mit interaktiven „Magischen Linsen“, spezielle lokal-angewandte Werkzeuge, die temporär die Visualisierung zur Analyse manipulieren. Dabei existieren zum Beispiel Vergrößerungslinsen, aber auch Graph-spezifische Manipulationen, wie das Anziehen von Nachbarknoten oder das Reduzieren von Kantenüberlappungen im lokalen Bereich. Bisher wurden diese Linsen vor allem als Werkzeug für einzelne Nutzer mit sehr spezialisiertem Effekt eingesetzt und per Maus und Tastatur bedient. Die vorliegende Doktorarbeit präsentiert die Erweiterung dieser magischen Linsen, sowohl in Bezug auf die Funktionalität als auch für die Interaktion an großen, vertikalen Displays. Insbesondere trägt diese Dissertation dazu bei, die Exploration von Graphen mit magischen Linsen durch natürliche Interaktion mit unterschiedlichen Modalitäten zu unterstützen. Dabei werden flexible Änderungen der Linsenfunktion, Anpassungen von individuellen Linseneigenschaften und Funktionsparametern, sowie die Kombination unterschiedlicher Linsen ermöglicht. Es werden Interaktionstechniken für die natürliche Manipulation der Linsen durch Multitouch-Interaktion, sowie das Kontrollieren von Linsen durch Mobilgeräte vor einer Displaywand vorgestellt. Außerdem wurde ein neuartiges Konzept körpergesteuerter magischer Linsen entwickelt. Funktionale Erweiterungen in Kombination mit diesen Interaktionskonzepten machen die Linse zu einem vom Nutzer einstellbaren, persönlichen Arbeitsbereich, der zudem alternative Interaktionsstile erlaubt. Als Grundlage für diese Erweiterungen stellt die Dissertation eine umfangreiche analytische Kategorisierung bisheriger Forschungsarbeiten zu magischen Linsen vor, in der Funktionen, Parameter und Interaktion mit Linsen eingeordnet werden. Zusätzlich macht die Arbeit Vor- und Nachteile körpernaher Interaktion für Werkzeuge bzw. ihre Steuerung zum Thema und diskutiert dabei Nutzerposition und -bewegung an großen Displaywänden belegt durch empirische Nutzerstudien

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Wictorin, Sebastian. "Streamlining Data Journalism: Interactive Analysis in a Graph Visualization Environment." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22498.

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This thesis explores the topic of how one can streamline a data journalists analytical workflow in a graph visualization environment. Interactive graph visualizations have been used recently by data journalists to investigate the biggest leaks of data in history. Graph visualizations empower users to find patterns in their connected data, and as the world continuously produces more data, the more important it becomes to make sense of it. The exploration was done by conducting semi-structured interviews with users, which illuminated three categories of insights called Graph Readability, Charts in Graphs and Temporality. Graph Readability was the category that were conceptualized and designed by integrating user research and data visualization best practises. The design process was concluded with a usability test with graph visualization developers, followed by a final iteration of the concept. The outcome resulted in a module that lets users simplify their graph and preserve information by aggregating nodes with similar attributes.

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Kister, Ulrike [Verfasser], Raimund [Akademischer Betreuer] Dachselt, Raimund [Gutachter] Dachselt, and Petra [Gutachter] Isenberg. "Interactive Visualization Lenses: : Natural Magic Lens Interaction for Graph Visualization / Ulrike Kister ; Gutachter: Raimund Dachselt, Petra Isenberg ; Betreuer: Raimund Dachselt." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://d-nb.info/1161669582/34.

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Faronius, Hofmann Therese, and Linda Håkansson. "Visualization Design Effects on Credibility and Data Perception, and the Importance of Digital Interaction." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-453694.

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An effective visualization can often give an insight into data that would otherwise be difficult to analyze. The company Assedon aims to make data understandable to their clients by using data visualization in an interactive user interface. The goal of this study was to create an interactive visual representation of data from the Swedish Public Employment Service with the use of dynamically created digital graphs that are considered credible and beneficial for data perception. Moreover, the goal was to study data perception of the digitally displayed and interactive graphs. The study was conducted by interviewing 19 people with different backgrounds, using a combination of a qualitative and a quantitative interview technique. The interviewees were shown three different designs of a graph type, and rated the graph as well as commented on the graph. The results of this study indicated that a graph is more likely to be perceived as credible if it looks modern and professional. This also means that the design of the graphs needs more attention than people might normally appreciate. The perception of data presented in digitally displayed graphs will be affected by several factors, but most prominently the choice of color can either enhance the perception or confuse. Lastly, interaction with the data will benefit the perception and create another dimension of the data, but only to a certain extent. If the graph is too difficult to evaluate, the purpose of the graph is lost and the interaction becomes a necessity instead of an asset.
En graf kan ge insikt i data som annars är svår att analysera. It-företaget Assedons mål är att konvertera data till digitala interaktiva lösningar som gör data förståelig för deras klienter. Målet med denna studie var att skapa en interaktiv visuell representation av Arbetsförmedlingens data i ett användarvänligt gränssnitt. Detta gjordes genom att skapa digitala grafer som anses trovärdiga och fördelaktiga för datauppfattningen. Målet var även att undersöka hur datauppfattningen av digitala grafer påverkades av interaktion med dessa grafer. Studien utfördes genom att intervjua 19 personer från olika bakgrunder med användning av kvalitativa och kvantitativa intervjutekniker. Deltagarna i studien visades tre olika interaktiva designer av en graf typ och betygsatte dessa samt kommenterade. Resultaten visade att en digital graf är mer sannolik att uppfattas som trovärdig om den ser modern och professionell ut. Datauppfattningen påverkades av flera faktorer, främst färgvalen som kan förtydliga data, men även förvirra läsaren. Avslutningsvis, så kan interaktion erbjuda en ytterligare dimension till grafer och därmed förbättra förståelsen av data. Dock till en viss gräns, är grafen för svår att evaluera utan tillgång till interaktionen så förloras syftet med grafen och interaktionen blir en nödvändighet istället för en tillgång.

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Eriksson, Anton. "Interactive visualization of community structure in complex networks." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148551.

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Several applied sciences model system dynamics with networks. Since networks often contain thousands or millions of nodes and links, researchers have developed methods that reveal and high- light their essential structures. One such method developed by researchers in IceLab uses information theory to compress descrip- tions of network flows with memory based on paths rather than links and identify hierarchically nested modules with long flow persistence times. However, current visualization tools for navigat- ing and exploring nested modules build on obsolete software that requires plugins and cannot handle such memory networks. Drawing from ideas in cartography, this thesis presents a pow- erful visualization method that enables researchers to analyze and explore modular decompositions of any network. The resulting application uses an efficient graph layout algorithm adapted with a simulation based on information flow. Like in a topographic map, zooming into the map successively reveals more detailed commu- nity structures and network features in a continuous fashion.

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Beutel, Thomas E. "Development and Evaluation of Interactive Courseware for Visualization of Graph Data Structure and Algorithms." NSUWorks, 1997. http://nsuworks.nova.edu/gscis_etd/410.

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The primary goal of this dissertation was to develop and pilot test interactive, multimedia courseware which would facilitate learning the abstract structures, operations, and concepts associated with graph and network data structures in Computer Science. Learning objectives and prerequisites are presented in an introduction section of the courseware and a variety of learning activities are provided including tutorials, animated demonstrations, interactive laboratory sessions, and self-tests. Courseware development incorporated principles and practices from software engineering, instructional design, and cognitive learning theories. Implementation utilized an easy-to-use authoring tool, NeoBook Professional (1994), to create the overall framework and the user interfaces, and Microsoft QuickBASIC 4.5 (1990) to program the interactive animated demonstrations and laboratory exercises. A major emphasis of the courseware is the use of simple interactive, animated displays to demonstrate the step-by-step operation of graph and network algorithms such as depth-first traversal, breadth-first traversal, shortest path, minimum sparring tree and topological ordering.

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Spritzer, Andre Suslik. "Supporting the design of custom static node-ling graph visualization." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/122650.

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Visualizações de grafos para comunicação aparecem numa variedade de contextos que vão do acadêmico-científico até o jornalístico e até mesmo artístico. Diferente de visualizações de grafos para exploração e análise de dados, essas imagens são usadas para “contar uma história” que já se conhece ao invés da “procura de uma nova história” nos dados. Apesar de ser possível usar software para desenho de grafos e edição de diagramas para produzí-las, visualizações feitas dessa forma nem sempre preenchem os requisitos visuais impostos pelos seus contextos de uso. Programas de edição de imagens podem ser usados para fazer as melhorias necessárias, mas nem todas as modificações são possíveis e o processo de editar essas imagens pode exigir muito tempo e esforço. Neste trabalho, apresentamos uma investigação de visualizações nodo-aresta estáticas para comunicação e de como facilitar sua criação. A partir de uma desconstrução dessas imagens, identificando seus elementos essenciais, e analisando como são criadas, derivamos um conjunto de requisitos que ferramentas para a criação dessas visualizações devem preencher. Para verificar o efeito da metodologia na melhora do fluxo de trabalho de designers, com mais poder e flexibilidade, foi concebido e implementado um protótipo chamado GraphCoiffure. Com um foco especial em auxiliar usuários na criação de visualizações para publicação, Graph- Coiffure foi projetado como uma aplicação standalone que seria usada como um passo intermediário entre programas de desenho e edição de grafos e editores gráficos. Ele combina ferramentas para manipulação interativa de layouts com estilização similar a CSS para permitir que usuários criem e editem visualizações nodo-aresta estáticas. Ilustramos o funcionamento de GraphCoiffure com quatro casos de uso: a adaptação do layout de uma visualização para fazê-la funcionar em uma dada página, a reprodução do estilo de uma visualização e sua aplicação em outro grafo, e a criação integral de duas novas visualizações. Para obter feedback sobre GraphCoiffure, conduzimos uma avaliação informal através de entrevistas com três potenciais usuários, que disseram achar que GraphCoiffure beneficiaria seu trabalho.
Graph visualizations for communication appear in a variety of contexts that range from scientific/ academic to journalistic and even artistic. Unlike graph visualizations for exploration and analysis, these images are used to tell a story that is already known rather than to look for a story within the data. Although graph drawing and diagram editing software can be used to produce them, visualizations made this way do not always meet the visual requirements imposed by their context of use. Graphics authoring software can be used to make the necessary improvements, but not all modifications are possible and the process of editing these images may be very time-consuming and labor-intensive. In this work, we present an investigation of static node-link visualizations for communication and how to better support their creation. We began with a deconstruction of these images, breaking them down into their basic elements and analyzing how they are created. From this, we derived a set of requirements that tools aimed at supporting their creation should meet. To verify if taking all of this into account would improve the workflow and bring more flexibility and power to the users, we created our own prototype, which we named GraphCoiffure. With a special emphasis on helping users on creating visualizations for publication, GraphCoiffure was designed as a standalone application that would serve as an intermediary step between graph drawing and editing software and graphics editors. It combines interactive graph layout manipulation tools with CSS-like styling possibilities to let users create and edit static node-link visualizations for communication. We illustrate the use of GraphCoiffure with four use-case scenarios: the adaptation of a visualization’s layout to make it work on a given page, the reproduction of a visualization’s style and its application on another graph, and the creation of two visualizations from scratch. To obtain feedback on GraphCoiffure, we conducted an informal evaluation by interviewing three potential expert users, who found that it could be useful for their work.

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Voroshilova, Alexandra. "Comparison study on graph sampling algorithms for interactive visualizations of large-scale networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254656.

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Networks are present in computer science, sociology, biology, and neuroscience as well as in applied fields such as transportation, communication, medical industries. The growing volumes of data collection are pushing scalability and performance requirements on graph algorithms, and at the same time, a need for a deeper understanding of these structures through visualization arises. Network diagrams or graph drawings can facilitate the understanding of data, making intuitive the identification of the largest clusters, the number of connected components, the overall structure, and detecting anomalies, which is not achievable through textual or matrix representations. The aim of this study was to evaluate approaches that would enable visualization of a large scale peer-to-peer video live streaming networks. The visualization of such large scale graphs has technical limitations which can be overcome by filtering important structural data from the networks. In this study, four sampling algorithms for graph reduction were applied to large overlay peer-to-peer network graphs and compared. The four algorithms cover different approaches: selecting links with the highest weight, selecting nodes with the highest cumulative weight, using betweenness centrality metrics, and constructing a focus-based tree. Through the evaluation process, it was discovered that the algorithm based on betweenness centrality approximation offers the best results. Finally, for each of the algorithms in comparison, their resulting sampled graphs were visualized using a forcedirected layout with a 2-step loading approach to depict their effect on the representation of the graphs.
Nätverk återfinns inom datavetenskap, sociologi, biologi och neurovetenskap samt inom tillämpade områden så som transport, kommunikation och inom medicinindustrin. Den växande mängden datainsamling pressar skalbarheten och prestandakraven på grafalgoritmer, samtidigt som det uppstår ett behov av en djupare förståelse av dessa strukturer genom visualisering. Nätverksdiagram eller grafritningar kan underlätta förståelsen av data, identifiera de största grupperna, ett antal anslutna komponenter, visa en övergripande struktur och upptäcka avvikelser, något som inte kan uppnås med texteller matrisrepresentationer. Syftet med denna studie var att utvärdera tillvägagångssätt som kunde möjliggöra visualisering av ett omfattande P2P (peer-to-peer) livestreamingnätverk. Visualiseringen av större grafer har tekniska begränsningar, något som kan lösas genom att samla viktiga strukturella data från nätverken. I den här studien applicerades fyra provtagningsalgoritmer för grafreduktion på stora överlagringar av P2P-nätverksgrafer för att sedan jämföras. De fyra algoritmerna är baserade på val av länkar med högsta vikt, av nodar med högsta kumulativa vikt, betweenness-centralitetsvärden för att konstruera ett fokusbaserat träd som har de längsta vägarna uteslutna. Under utvärderingsprocessen upptäcktes det att algoritmen baserad på betweenness-centralitetstillnärmning visade de bästa resultaten. Dessutom, för varje algoritm i jämförelsen, visualiserades deras slutliga samplade grafer genom att använda en kraftstyrd layout med ett 2-stegs laddningsinfart.

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Book chapters on the topic "Interactive graph visualization"

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Bruß, Ingo, and Arne Frick. "Fast interactive 3-D graph visualization." In Graph Drawing, 99–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0021794.

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Wills, Graham J. "NicheWorks — Interactive visualization of very large graphs." In Graph Drawing, 403–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63938-1_85.

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Fröhlich, Michael, and Mattias Werner. "Demonstration of the interactive graph visualization system da Vinci." In Graph Drawing, 266–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-58950-3_379.

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Halin, Gilles. "Handling a Cooperative Design Context with an Interactive Graph Visualization." In Lecture Notes in Computer Science, 23–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92719-8_3.

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Kohwalter, Troy, Thiago Oliveira, Juliana Freire, Esteban Clua, and Leonardo Murta. "Prov Viewer: A Graph-Based Visualization Tool for Interactive Exploration of Provenance Data." In Lecture Notes in Computer Science, 71–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40593-3_6.

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Gretarsson, Brynjar, Svetlin Bostandjiev, John O’Donovan, and Tobias Höllerer. "WiGis: A Framework for Scalable Web-Based Interactive Graph Visualizations." In Graph Drawing, 119–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11805-0_13.

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Brandenburg, Franz J. "Nice drawings of graphs are computationally hard." In Visualization in Human-Computer Interaction, 1–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-52698-6_1.

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Rafelsberger, Walter M. "Interactive Visualization of Evolving Force-Directed Graphs." In Design, User Experience, and Usability. Web, Mobile, and Product Design, 553–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39253-5_61.

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Yang, Chaozhou, Xin Wang, Qiang Xu, and Weixi Li. "SPARQLVis: An Interactive Visualization Tool for Knowledge Graphs." In Web and Big Data, 471–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96890-2_41.

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Xu, Dawei, Lin Wang, Xin Wang, Dianquan Li, Jianpeng Duan, and Yongzhe Jia. "KG3D: An Interactive 3D Visualization Tool for Knowledge Graphs." In Advanced Data Mining and Applications, 886–89. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35231-8_67.

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Conference papers on the topic "Interactive graph visualization"

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Elmqvist, Niklas, Thanh-Nghi Do, Howard Goodell, Nathalie Henry, and Jean-Daniel Fekete. "ZAME: Interactive Large-Scale Graph Visualization." In IEEE Pacific Visualization Symposium 2008. IEEE, 2008. http://dx.doi.org/10.1109/pacificvis.2008.4475479.

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Shah, Michael D., and Samuel Z. Guyer. "An Interactive Microarray Call-Graph Visualization." In 2016 IEEE Working Conference on Software Visualization (VISSOFT). IEEE, 2016. http://dx.doi.org/10.1109/vissoft.2016.14.

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Hosobe, Hiroshi. "A high-dimensional approach to interactive graph visualization." In the 2004 ACM symposium. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/967900.968155.

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He, Xing, Rui Zhang, Rubina Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, and Jiang Bian. "Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621340.

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Bikakis, Nikos, John Liagouris, Maria Krommyda, George Papastefanatos, and Timos Sellis. "graphVizdb: A scalable platform for interactive large graph visualization." In 2016 IEEE 32nd International Conference on Data Engineering (ICDE). IEEE, 2016. http://dx.doi.org/10.1109/icde.2016.7498340.

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He, Xing, and Jiang Bian. "Towards an Interactive Visualization for Dietary Supplement Knowledge Graph." In 2019 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2019. http://dx.doi.org/10.1109/ichi.2019.8904618.

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SOEJIMA, H., N. NAKASHIMA, N. ONIMURA, S. HIROKAWA, and T. YAMASHITA. "Interactive Visualization of Template Graph for Daily Clinical Notes." In Eighth International Conference On Advances in Computing, Electronics and Electrical Technology - CEET 2018. Institute of Research Engineers and Doctors, 2018. http://dx.doi.org/10.15224/978-1-63248-144-3-11.

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Holy, Lukas, Petr Picha, Richard Lipka, and Premek Brada. "Software Engineering Projects Analysis using Interactive Multimodal Graph Explorer – IMiGEr." In 10th International Conference on Information Visualization Theory and Applications. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007579803300337.

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Halin, Gilles. "An interactive graph visualization for handling cooperative design activity context." In 2007 11th International Conference on Computer Supported Cooperative Work in Design. IEEE, 2007. http://dx.doi.org/10.1109/cscwd.2007.4281446.

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Farooq, Humera, M. Nordin Zakaria, Mohd Fadzil Hassan, and Suziah Sulaiman. "An interactive visualization of Genetic Algorithm on 2-D graph." In Cognitive Computing (ICCI-CC). IEEE, 2011. http://dx.doi.org/10.1109/coginf.2011.6016133.

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