scholarly journals G6: A web-based library for graph visualization

2021 ◽  
Author(s):  
Yanyan Wang ◽  
Zhanning Bai ◽  
Zhifeng Lin ◽  
Xiaoqing Dong ◽  
Yingchaojie Feng ◽  
...  
Keyword(s):  
Graph Visualization ◽  
Web Based

scholarly journals GraphVisual: Design and Evaluation of a Web-Based Visualization Tool for Teaching and Learning Graph Visualization

2020 ◽  
Author(s):  
Martin Imre ◽  
Wenqing Chang ◽  
Shuzhan Wang ◽  
Christine Trinter ◽  
Chaoli Wang
Keyword(s):  
Teaching And Learning ◽  
Visualization Tool ◽  
Graph Visualization ◽  
Web Based

scholarly journals Social Media Listening pada Instagram untuk Kasus Kebakaran Hutan di Indonesia Menggunakan Graph Clustering

2019 ◽  
Vol 6 (2) ◽  
pp. 149
Author(s):  
Rina Trisminingsih ◽  
Riski Adi Kurniawan
Keyword(s):  
Social Media ◽  
Social Network ◽  
Forest Fire ◽  
Clustering Analysis ◽  
Graph Clustering ◽  
Graph Visualization ◽  
Web Based ◽  
Analysis Process ◽  
The Social ◽  
Data Source

<p><em>Social media listening </em>merupakan salah satu metode untuk melakukan analisis media sosial berbasis graf untuk mengidentifikasi dan menilai suatu isu yang sedang banyak dibicarakan di media sosial. Penelitian ini melakukan <em>social media listening </em>terkait isu kebakaran hutan dari data Instagram untuk melihat lebih dalam topik pembicaraan warganet terkait isu kebakaran hutan serta mengidentifikasi isu-isu terkait lainnya yang muncul. Pada penelitian ini dilakukan g<em>raph clustering </em>pada data Instagram dengan perangkat Gephi sehingga menghasilkan suatu graf dengan jumlah <em>node </em>sebanyak 36 dengan persentase 0.68% dari jumlah <em>node</em> awal sebanyak 5280 dan jumlah <em>edge </em>sebanyak 553 dengan persentase 0.92% dari jumlah <em>edge </em>awal sebanyak 64969. Proses <em>labeling</em> hasil <em>graph</em> <em>clustering</em> menghasilkan lima kelompok <em>hashtag</em> yaitu kategori isu lain yang muncul terkait kasus kebakaran hutan, kategori isu yang tidak berhubungan dengan kasus kebakaran hutan, kategori <em>hashtag</em> terkait lokasi kasus kebakaran hutan, kategori <em>hashtag</em> tentang slogan yang muncul pada kasus kebakaran hutan, dan kategori <em>hashtag</em> yang menggambarkan isu kebakaran hutan di Indonesia. Representasi graf dan hasil labelisasi kemudian divisualisasikan dalam aplikasi berbasis web untuk memudahkan identifikasi dan penilaian topik <em>(hashtag) </em>terkait isu kebakaran hutan di Indonesia.</p><p> </p><p> <strong>Abstract</strong></p><p><em>Social media listening is a method for conducting social network analysis by identifying and collecting information that can be used as the data source in certain cases. Using social media listening, we can summarize and get pattern from certain cases, for example in this study using  forest fire case in Indonesia. This research used hashtags from Instagram as the data source and conducted an analysis to understand the social interaction inside of forest fire case. The analysis aimed to obtain information summary using graph clustering on Gephi. Graph visualization was done using two-stage processess, which are modularity and filtering. This research resulted in 36 nodes with the percentage of 0.68% from 5280 initial nodes and 553 edges with the percentage of 0.92% from 64969 initial edges. The analysis process showed five clusters that represented the information summary from the graph clustering analysis result. The formed clusters were then analyzed and visualised on a web-based application to identifiy towards the node that represented another issues which appeared in the forest fire cases in Indonesia.</em></p>

scholarly journals DEVELOPING SEMANTIC NETWORK MANAGEMENT SYSTEM

2014 ◽  
pp. 272-281
Author(s):  
Yuriy Semchyshyn ◽  
Ivan Kulpa ◽  
Igor Kolosovskyi ◽  
Oleksandr Hrechnikov ◽  
Petro Hayda
Keyword(s):  
Network Management ◽  
Management System ◽  
Semantic Analysis ◽  
Semantic Network ◽  
Semantic Networks ◽  
Graph Visualization ◽  
Network Management System ◽  
Web Based ◽  
Current State ◽  
Algorithm Implementation

The paper considers semantic networks. It is a way of representing knowledge as a set of nodes-concepts connected by edges-relations. The history and current state-of-the-art of semantic networks is analyzed. The experience of designing and developing semantic network management system is described in four sections covering the following topics: data structures design, semantic analysis algorithm implementation, graph visualization methods selection and Web-based user interface development. The developed system is fully-operational tool for building and studying semantic networks. The system will be used for the further research.

The PBL-Evaluator: a web-based tool for assessment in tutorials

1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  
Web Based

Using Popular Mobile Devices in Voice Therapy

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer
Keyword(s):  
Exercise Behavior ◽  
Voice Therapy ◽  
Pure Oxygen ◽  
Mobile Platforms ◽  
Self Monitoring ◽  
Web Based ◽  
Motivational Messages ◽  
Related Information ◽  
Health Related ◽  
Tailored Approach

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.

Web-Based Asthma Management Coming Soon

2008 ◽  
Vol 41 (8) ◽  
pp. 23
Author(s):  
MITCHEL L. ZOLER
Keyword(s):  
Asthma Management ◽  
Web Based

Web-Based STD Tool Makes Screening Accessible

2009 ◽  
Vol 42 (19) ◽  
pp. 27
Author(s):  
BRUCE JANCIN
Keyword(s):  
Web Based

Regulation of Experienced and Anticipated Regret for Daily Decisions in Younger and Older Adults in a Swedish One-Week Diary Study

GeroPsych ◽  
2013 ◽  
Vol 26 (4) ◽  
pp. 233-241 ◽  
Author(s):  
Pär Bjälkebring ◽  
Daniel Västfjäll ◽  
Boo Johansson
Keyword(s):  
Older Adults ◽  
Diary Study ◽  
Anticipated Regret ◽  
Younger Adults ◽  
Web Based ◽  
Decision Regret ◽  
Diary Method ◽  
Regulation Strategies

Regret and regret regulation were studied using a weeklong web-based diary method. 108 participants aged 19 to 89 years reported regret for a decision made and a decision to be made. They also reported the extent to which they used strategies to prevent or regulate decision regret. Older adults reported both less experienced and anticipated regret compared to younger adults. The lower level of experienced regret in older adults was mediated by reappraisal of the decision. The lower level of anticipated regret was mediated by delaying the decision, and expecting regret in older adults. It is suggested that the lower level of regret observed in older adults is partly explained by regret prevention and regulation strategies.

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