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Social Set Visualizer: Demonstration of Methodology and Software

机译:社交集可视化工具:方法论和软件演示

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摘要

This paper presents a state-of-the art visual analytics dash-board, Social Set Visualizer (SoSeVi), of approximately 90 million Facebook actions from 11 different companies that have been mentioned in the traditional media in relation to garment factory accidents in Bangladesh. The enterprise application domain for the dashboard is Corporate Social Responsibility (CSR) and the targeted end-users are CSR researchers and practitioners. The design of the dashboard was based on the "social set analytics" approach to computational social science. The development of the dash-board involved cutting-edge open source visual analytics libraries from D3.js and creation of new visualizations (ac-tor mobility across time, conversational comets etc). Evaluation of the dashboard consisting of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results.
机译:本文介绍了最先进的视觉分析仪表板,Social Set Visualizer(SoSeVi),它显示了来自11家不同公司的大约9000万个Facebook动作,这些动作在传统媒体中已被提及与孟加拉国的服装工厂事故有关。仪表板的企业应用程序域是企业社会责任(CSR),目标最终用户是CSR研究人员和从业人员。仪表板的设计基于计算社会科学的“社会集分析”方法。仪表板的开发涉及来自D3.js的最先进的开源视觉分析库,并创建了新的可视化效果(跨时间的AC机动性,对话彗星等)。对仪表板的评估包括对CSR学生的技术测试,可用性测试和特定领域的测试,并获得了积极的结果。

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