Using Information Visualization Techniques to Improve the Perception of the Organizations’ Image on Social Networks

This chapter addresses an ongoing work strategy for developing and sharing knowledge related to digital/ Web-based technology and multimedia tools, information visualization, computer graphics, desktop virtual reality techniques in combination with art/education. It includes a large body of research about advanced and contemporary technologies and their use for stimulating individuals’ education. These interactive processes of researching, developing and sharing knowledge have been carried out through interdisciplinary and collaborative learning and teaching experiences in the context of k-12 education in a primary public school and its surrounding community. The learning and direct manipulation of advanced and contemporary technologies have improved individuals’ technical skills, stimulated cooperative and collaborative work and innovations in the way of developing school’s curriculum content as well as supported ones’ independent learning. Furthermore, there have been changes on individuals’ mental models, behavior and cultural changes related to reflecting about diverse possibilities of using information and communication technology within collaborative formal and informal sustainable lifelong learning and teaching actions.

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Multi-touch Interaction with Information Visualization Techniques: An Analysis Using Twitter Data

Human-Computer Interaction. Novel User Experiences - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39513-5_20 ◽

2016 ◽

pp. 211-222

Author(s):

Felipe Eduardo Lammel ◽

Isabel Harb Manssour ◽

Milene Selbach Silveira

Keyword(s):

Information Visualization ◽

Twitter Data ◽

Touch Interaction ◽

Visualization Techniques

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What Does the User Want to See? What do the Data Want to Be?

Information Visualization ◽

10.1057/ivs.2009.13 ◽

2009 ◽

Vol 8 (3) ◽

pp. 153-166 ◽

Cited By ~ 18

Author(s):

A. Johannes Pretorius ◽

Jarke J. Van Wijk

Keyword(s):

Information Visualization ◽

User Requirements ◽

User Centered Design ◽

Effective Visualization ◽

Visualization Techniques ◽

User Centered

Information visualization is a user-centered design discipline. In this article we argue, however, that designing information visualization techniques often requires more than designing for user requirements. Additionally, the data that are to be visualized must also be carefully considered. An approach based on both the user and their data is encapsulated by two questions, which we argue information visualization designers should continually ask themselves: ‘What does the user want to see?’ and ‘What do the data want to be?’ As we show by presenting cases, these two points of departure are mutually reinforcing. By focusing on the data, new insight is gained into the requirements of the user, and vice versa, resulting in more effective visualization techniques.

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Information visualization skills for academic librarians

Library Hi Tech ◽

10.1108/lht-01-2018-0012 ◽

2019 ◽

Vol 37 (3) ◽

pp. 591-603 ◽

Cited By ~ 1

Author(s):

Hsuanwei Michelle Chen

Keyword(s):

Content Analysis ◽

Information Visualization ◽

Language Processing ◽

Digital Humanities ◽

Emerging Technology ◽

Academic Librarians ◽

Content Type ◽

Analysis Methodology ◽

Library Research ◽

Visualization Techniques

Purpose The purpose of this paper is to investigate how scholars in the digital humanities employ information visualization techniques in their research, and how academic librarians should prepare themselves to support this emerging trend. Design/methodology/approach This study adopts a content analysis methodology, which further draws techniques from data mining, natural language processing and information visualization to analyze three peer-reviewed journals published within the last five years and ten online university library research guides in this field. Findings To successfully support and effectively contribute to the digital humanities, academic librarians should be knowledgeable in more than just visualization concepts and tools. The content analysis results for the digital humanities journals reflect the importance of recognizing the wide variety of applications and purposes of information visualization in digital humanities research. Practical implications This study provides useful and actionable insights into how academic librarians can prepare for this emerging technology to support future endeavors in the digital humanities. Originality/value Although information visualization has been widely adopted in digital humanities research, it remains unclear how librarians, especially academic librarians who support digital humanities research, should prepare for this emerging technology. This research is the first study to address this research gap through the lens of actual applications of information visualization techniques in digital humanities research, which is compared against university LibGuides for digital humanities research.

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VizTract: Visualization of Complex Social Networks for Easy User Perception

Big Data and Cognitive Computing ◽

10.3390/bdcc3010017 ◽

2019 ◽

Vol 3 (1) ◽

pp. 17

Author(s):

Ramya Akula ◽

Ivan Garibay

Keyword(s):

Social Networks ◽

Social Network ◽

Visual Perception ◽

Visual Information ◽

Circle Packing ◽

User Friendliness ◽

The Social ◽

Cluster Dendrogram ◽

Edge Bundling ◽

Visualization Techniques

Social networking platforms connect people from all around the world. Because of their user-friendliness and easy accessibility, their traffic is increasing drastically. Such active participation has caught the attention of many research groups that are focusing on understanding human behavior to study the dynamics of these social networks. Oftentimes, perceiving these networks is hard, mainly due to either the large size of the data involved or the ineffective use of visualization strategies. This work introduces VizTract to ease the visual perception of complex social networks. VizTract is a two-level graph abstraction visualization tool that is designed to visualize both hierarchical and adjacency information in a tree structure. We use the Facebook dataset from the Social Network Analysis Project from Stanford University. On this data, social groups are referred as circles, social network users as nodes, and interactions as edges between the nodes. Our approach is to present a visual overview that represents the interactions between circles, then let the user navigate this overview and select the nodes in the circles to obtain more information on demand. VizTract aim to reduce visual clutter without any loss of information during visualization. VizTract enhances the visual perception of complex social networks to help better understand the dynamics of the network structure. VizTract within a single frame not only reduces the complexity but also avoids redundancy of the nodes and the rendering time. The visualization techniques used in VizTract are the force-directed layout, circle packing, cluster dendrogram, and hierarchical edge bundling. Furthermore, to enhance the visual information perception, VizTract provides interaction techniques such as selection, path highlight, mouse-hover, and bundling strength. This method helps social network researchers to display large networks in a visually effective way that is conducive to ease interpretation and analysis. We conduct a study to evaluate the user experience of the system and then collect information about their perception via a survey. The goal of the study is to know how humans can interpret the network when visualized using different visualization methods. Our results indicate that users heavily prefer those visualization techniques that aggregate the information and the connectivity within a given space, such as hierarchical edge bundling.

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