Effective email network visualization techniques by means of user behaviors

2013 ◽  
Vol 17 (6) ◽  
pp. 1041-1056 ◽  
Author(s):  
Byung-Won On
Keyword(s):  
Network Visualization ◽  
User Behaviors ◽  
Visualization Techniques

Making the Unseen Visible

2014 ◽  
pp. 277-331
Keyword(s):  
Visual Analytics ◽  
Web Search ◽  
Visual Learning ◽  
Network Visualization ◽  
Knowledge Visualization ◽  
Knowledge Maps ◽  
Tag Cloud ◽  
Visualization Techniques ◽  
Tools And Techniques

Themes and examples examined in this chapter discuss the fast growing field of visualization. First, basic terms: data, information, knowledge, dimensions, and variables are discussed before going into the visualization issues. The next part of the text overviews some of the basics in visualization techniques: data-, information-, and knowledge-visualization, and tells about tools and techniques used in visualization such as data mining, clusters and biclustering, concept mapping, knowledge maps, network visualization, Web-search result visualization, open source intelligence, visualization of the Semantic Web, visual analytics, and tag cloud visualization. This is followed by some remarks on music visualization. The next part of the chapter is about the meaning and the role of visualization in various kinds of presentations. Discussion relates to concept visualization in visual learning, visualization in education, collaborative visualization, professions that employ visualization skills, and well-known examples of visualization that progress science. Comments on cultural heritage knowledge visualization conclude the chapter.

scholarly journals Application of semantic network visualization as a managerial support instrument in financial analyses

2017 ◽  
Vol 5 (1) ◽  
pp. 112-128
Author(s):  
Helena Dudycz
Keyword(s):  
Semantic Network ◽  
Current Trend ◽  
Behavioral Approach ◽  
Network Visualization ◽  
Easy Access ◽  
Modern Information Technology ◽  
Managerial Support ◽  
Ontological Approach ◽  
Decision Making Processes ◽  
Visualization Techniques

Modern information technology (IT) managerial support systems often utilize visualization as a fundamental form of presenting information. In this context, however, users require easy access and rapid retrieval of not only information, but also knowledge stored by the system. The current trend in research is to identify new methods of graphical presentation that can be used to visualize knowledge. One of the most promising trends in this area is the exploration of the ontological approach to knowledge representation, and the associated semantic network visualization techniques. This paper presents selected aspects of the practical application of semantic network visualization in support of decision-making processes in the narrow context of financial indicators analysis, and in the light of both the rational and the behavioral approach.

Progress in Detection of Insomnia Sleep Disorder: A Comprehensive Review

2020 ◽  
Vol 21 ◽  
Author(s):  
Haroon Khan ◽  
Md Belal Bin Heyat ◽  
Dakun Lai ◽  
Faijan Akhtar ◽  
M.A. Ansari ◽  
...  
Keyword(s):  
Sleep Disorder ◽  
Web Of Science ◽  
Heart Diseases ◽  
Network Visualization ◽  
Comprehensive Review ◽  
The Future ◽  
Visualization Techniques ◽  
Future Work ◽  
Inadequate Sleep ◽  
The Web

: Lack of adequate sleep is a major source of many harmful diseases related to heart, brain, psychological changes, high blood pressure, diabetes, weight gain etc. The 40 to 50 % of the world’s population is suffering from poor or inadequate sleep. Insomnia is a sleep disorder in which individual complaint of difficulties in starting/continuing sleep at least four weeks regularly. It is estimated that 70% of the heart diseases are generated during insomnia sleep disorder. The main objective of this study to determine the all work conducted on insomnia detection and to make a database. We used two procedures including network visualization techniques on two databases including PubMed and Web of Science to complete this study. We found 169 and 36 previous publications of insomnia detection in the PubMed and the Web of Science databases, respectively. We analyzed 10 datasets, 2 databases, 21 genes, and 23 publications with 30105 subjects of insomnia detection. This work has revealed the future way and gap so far directed on insomnia detection and has also tried to provide objectives for the future work to be proficient in a scientific and significant manner.

scholarly journals Visualizing Populated Ontologies with OntoTrix

2013 ◽  
Vol 9 (4) ◽  
pp. 17-40 ◽  
Author(s):  
Benjamin Bach ◽  
Emmanuel Pietriga ◽  
Ilaria Liccardi
Keyword(s):  
Social Network ◽  
Information Visualization ◽  
Adjacency Matrix ◽  
Network Visualization ◽  
Visualization Technique ◽  
Matrix Representations ◽  
Level Data ◽  
Complex Graph ◽  
Visualization Techniques ◽  
Different Parts

Research on visualizing Semantic Web data has yielded many tools that rely on information visualization techniques to better support the user in understanding and editing these data. Most tools structure the visualization according to the concept definitions and interrelations that constitute the ontology’s vocabulary. Instances are often treated as somewhat peripheral information, when considered at all. These instances, that populate ontologies, represent an essential part of any knowledge base. Understanding instance-level data might be easier for users because of their higher concreteness, but instances will often be orders of magnitude more numerous than the concept definitions that give them machine-processable meaning. As such, the visualization of instance-level data poses different but real challenges. The authors present a visualization technique designed to enable users to visualize large instance sets and the relations that connect them. This visualization uses both node-link and adjacency matrix representations of graphs to visualize different parts of the data depending on their semantic and local structural properties. The technique was originally devised for simple social network visualization. The authors extend it to handle the richer and more complex graph structures of populated ontologies, exploiting ontological knowledge to drive the layout of, and navigation in, the representation embedded in a smooth zoomable environment.

scholarly journals Visualizing linguistic variation in a network of Latin documents and scribes

2018 ◽  
Vol Special Issue on... (Visualisation of...) ◽  
Author(s):  
Timo Korkiakangas ◽  
Matti Lassila
Keyword(s):  
Historical Linguistic ◽  
Language Use ◽  
Network Visualization ◽  
Linguistic Variables ◽  
Linguistic Features ◽  
Language Competence ◽  
Colour Palette ◽  
Static Images ◽  
Node Attributes ◽  
Visualization Techniques

This article explores whether and how network visualization can benefit philological and historical-linguistic study. This is illustrated with a corpus-based investigation of scribes' language use in a lemmatized and morphologically annotated corpus of documentary Latin (Late Latin Charter Treebank, LLCT2). We extract four continuous linguistic variables from LLCT2 and utilize a gradient colour palette in Gephi to visualize the variable values as node attributes in a trimodal network which consists of the documents, writers, and writing locations underlying the same corpus. We call this network the "LLCT2 network". The geographical coordinates of the location nodes form an approximate map, which allows for drawing geographical conclusions. The linguistic variables are examined both separately and as a sum variable, and the visualizations presented as static images and as interactive Sigma.js visualizations. The variables represent different domains of language competence of scribes who learnt written Latin practically as a second-language. The results show that the network visualization of linguistic features helps in observing patterns which support linguistic-philological argumentation and which risk passing unnoticed with traditional methods. However, the approach is subject to the same limitations as all visualization techniques: the human eye can only perceive a certain, relatively small amount of information at a time.

scholarly journals Evaluating Multivariate Network Visualization Techniques Using a Validated Design and Crowdsourcing Approach

2020 ◽  
Author(s):  
Carolina Nobre ◽  
Dylan Wootton ◽  
Lane Harrison ◽  
Alexander Lex
Keyword(s):  
Network Visualization ◽  
Visualization Techniques

To appear at ACM CHI 2020. Details: https://vdl.sci.utah.edu/publications/2020_chi_mvnv_study/

Sign in / Sign up

Export Citation Format

Share Document