scholarly journals 3D Based Visualization Tool to Analyze the Influential Topics via Hashtags on Instagram Platform

2020 ◽  
Vol 4 (2) ◽  
pp. 26
Author(s):  
Raja Majid Mehmood ◽  
Guo Xinyi ◽  
Liu Cuiting ◽  
Wang Ruisi

This paper intends to develop an interactive, comprehensive information visualization platform of Instagram hashtag analysis. Instagram hashtags has developed themselves into all different kinds of group or communities for users to share hobbies and find similar friends. In order to analyze topic influence and user interest trend from Instagram, which contains billions of end-users and has worldwide influence, hashtag analysis is necessary to gather such information and compare the proportion of people involving in each tags and rank them to visualize. The visualization is developed in 3D space and consists of time-varying data flow of tags, together with tag comparison analysis, as well as event researches. In the rest of the paper, we mainly discuss the design idea and the development process of the system. An example of the system design work will be shown in the discussion, which involves 4 popular hashtags discussed on Instagram and are shown on the system, displayed as an 3D histogram, together with another comparison histogram to compare different tags, as well as an event view in the back.

Author(s):  
Andre Luiz da Silva Kauer ◽  
Bianchi Serique Meiguins ◽  
Ricardo Melo Casseb do Carmo ◽  
Marcelo de Brito Garcia ◽  
Aruanda Simoes Goncalves Meiguins

2005 ◽  
Vol 4 (4) ◽  
pp. 239-256 ◽  
Author(s):  
Ji Soo Yi ◽  
Rachel Melton ◽  
John Stasko ◽  
Julie A. Jacko

The use of multivariate information visualization techniques is intrinsically difficult because the multidimensional nature of data cannot be effectively presented and understood on real-world displays, which have limited dimensionalities. However, the necessity to use these techniques in daily life is increasing as the amount and complexity of data grows explosively in the information age. Thus, multivariate information visualization techniques that are easier to understand and more accessible are needed for the general population. In order to meet this need, the present paper proposes Dust & Magnet, a multivariate information visualization technique using a magnet metaphor and various interactive techniques. The intuitive magnet metaphor and subsequent interactions facilitate the ease of learning this multivariate information visualization technique. A visualization tool such as Dust & Magnet has the potential to increase the acceptance of and utility for multivariate information by a broader population of users who are not necessarily knowledgeable about multivariate information visualization techniques.


1992 ◽  
Author(s):  
Barbara E. Myers ◽  
Robert Flast ◽  
Anatole Gershman ◽  
Edward J. Gottsman

Author(s):  
Anh-Vu Dinh-Duc

Visualization tools help users to observe the status of the Wireless Sensor Networks (WSNs). Although various visualization tools have been created for certain projects so far, these tools can only be used in certain scenarios, due to their hard-coded packet formats and network’s properties. To speed up development process, a visualization tool which can adapt to any kind of WSN is essentially necessary. A generalpurpose visualization tool - NViz, which can represent and visualize data for all WSN applications, is proposed. NViz allows user to set their network’s properties and packet formats through XML files. Based on properties defined, user can choose the meaning of them and let NViz represents the data respectively. Furthermore, a better Replay mechanism, which lets researchers and developers debug their WSN easily, is also integrated in this tool. NViz is designed based on a layered architecture which allows for clear and well-defined interrelationships and interfaces between each components. As a demonstration, NViz is used for designing an environmental sensor network.


Author(s):  
Lieu-Hen Chen ◽  
Pin-Chieh Cheng ◽  
Hao-Ming Hung ◽  
Wei-Fen Hsieh ◽  
Yasufumi Takama

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