S&CC: Support Community-Scale Study by Visual Analytics of Human Mobility and Opinion Data from Social Media Data

改善城市的物理景观，如增加新的绿地和健康的活动目的地，或消除问题领域，如“枯萎病”是决定使用的想法，计划和现有的理论。然而，很少有人对这些改进的有效性进行评估。该项目开发了一个可视化分析平台，用于分析从社交媒体检索的匿名人类移动性和人类意见数据，以便以社区为中心的利益相关者可以交互式地研究人类活动的使用情况，并将多个位置类型的见解联系起来。通过这种方式，可以提出这样的问题，例如这种变化实际上对这条街道/我的街道有任何好处吗？或者，我在哪里可以告诉我的病人进行安全的、文化上可接受的、适合他/她的锻炼？ 在重新设计城市环境时，这种视觉分析系统可以成为最佳实践方法的一部分，其中重新设计意味着改变建筑，社会和物理环境的各个方面。这项工作的更广泛的影响包括学术界以外的潜在用途;医生互动地调查病人周围的社区，或者社区团体通过调查这种举措在其他地方的变化来考虑增加社区花园的可能影响。该项目提供了一个非专业的软件界面，使这种类型的分析无处不在。这一工具可以适用于任何文化、种族或经济障碍。拟议研究的地理区域主要包括少数民族社区，使我们能够展示这种方法在解决种族差异问题上的实用性。我们将尽一切努力吸引和雇用少数族裔学生参与该项目，以反映这些学习社区的社会构成。该项目是第一个专为社区使用而设计的近乎真实的干预工具，利用了最动态的可用数据：社交媒体轨迹数据和相关的上下文含义。该技术采用社交媒体，并在交互式视觉系统中利用它来回答非专业用户的日常问题。它通过调查和理解社交媒体轨迹数据来捕捉与城市社区相关的行为/活动。这些调查要点将从包括社区叙述在内的丰富来源中收集。重要的消极和积极空间，以及这些空间的变化，将被调查，以证明大社交媒体数据的利用和评估我们的视觉分析系统。NeighborBase数据库管理从tweets中提取的这些异构数据，并支持各种实时查询。社区规模的可视化分析工具NeighborVis进一步为用户提供直观的交互，以通过NeighborBase进行有效的知识发现。该软件平台将这些数据与计算和可视化算法无缝集成，用于物理社区的设计和改进。

Improvements to the urban physical landscape, such as adding new greenspaces and healthy activity destinations, or removing problem areas like "blight" are decided upon using ideas, plans and existing theory. Yet little is ever done to evaluate the effectiveness of such improvements. The project develops a visual analytics platform of anonymized human mobility and human opinion data retrieved from social media, so that community-focused stakeholders can interactively study human activity usage and associate insights around multiple location types. In this way questions can be asked such as has this change actually done any good on this/my street? Or, where can I tell my patient to exercise that is safe, culturally acceptable, and appropriate to who he/she is? This visual analytics system can become part of a best practices approach when re-designing urban environments, where re-designing means changing aspects of the built, social and physical environment. The Broader Impacts of this work include potential usage beyond academia; a doctor interactively investigating the neighborhood around a patient, or a community group considering the likely impact of adding a community garden by investigating the changes such an initiative has had elsewhere. The project provides a non-specialist software interface that makes that type of analysis ubiquitous. This tool can be applied irrespective of cultural, racial or economic barriers. The geographic area of the proposed study comprises largely of minority neighborhoods allowing us to show the utility of this approach to attack issues of racial disparity. Every effort will be made to attract and employ minority students on the project in order to reflect the social makeup of these study neighborhoods.This project is the first near real time intervention tool designed for community use that utilizes the most dynamic data available: social media trajectory data and associated contextual meaning. The technique takes social media and leverages it in an interactive visual system to answer day-to-day questions by non-specialized users. It captures behaviors/activities related to urban communities by investigating and understanding social media trajectory data. These points of investigation will be gleaned from a rich array of sources including community narratives. Important negative and positive spaces, and changes to those spaces, will be investigated to justify the utilization of big social media data and evaluate our visual analytics system. A database, NeighborBase, manages these heterogeneous data extracted from tweets and support various real-time queries. A community-scale visual analytics tool, NeighborVis, further provides intuitive interactions for users to perform efficient knowledge discovery over NeighborBase. The software platform seamless integrates these data with computational and visualization algorithms for the design and improvement in physical communities.