SGER: A Web Sociologist's Workbench

SGER：网络社会学家的工作台

• 批准号: 0624725
• 负责人: Hector Garcia-Molina
• 金额: --
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0624725&HistoricalAwards=false
• 关键词: SGER; Web; Sociologist; Workbench

Proposal ID: IIS-0624725PI: Garcia-Molina, HectorInstitution: Stanford UniversityTitle: SGER: A Web Sociologist's WorkbenchAbstractThis proposal is to design and build integrated software tools that will help social scientists analyze large time series snapshots of World Wide Web materials. The researchers' WebBase facility has been generating such topic specific Web collections since 2001. During the aftermath of the Katrina hurricane disaster pages were collected from a set of 400 Web sites every day. The site set was selected by personnel at the Library of Congress and the California Digital Library. The proposed tools will help social scientists track the development of topics across a time series such as the Katrina collections. The software architecture proposed is modular. Requirements, attributes, and associated functionalities were identified from discussions between the Computer Science researchers and faculty at Stanford's Communications Department where such social science applications and analyses are pursued. This project is inherently cross disciplinary, challenging and innovative. As such, it involves risk in pushing the boundaries of research capability. Successful outcome will broadly impact the social sciences by providing new means for conducting research over World Wide Web content. Data collected will be publicly available., as well as the new software tools coming out of this effort.

提案ID： IIS-0624725PI： Garcia-Molina，Hector 斯坦福大学 SGER：一个网络社会学家的工作台摘要这个建议是设计和建立集成的软件工具，将帮助社会科学家分析万维网材料的大时间序列快照。 自2001年以来，研究人员的WebBase设施一直在生成此类特定主题的Web集合。 在卡特里娜飓风灾难之后，每天从400个网站收集网页。该网站集是由美国国会图书馆和加州数字图书馆的工作人员选择的。拟议的工具将帮助社会科学家跟踪整个时间序列的主题，如卡特里娜收集的发展。 提出的软件体系结构是模块化的。 要求，属性和相关的功能，确定从计算机科学研究人员和教师之间的讨论在斯坦福大学的通信部门，这样的社会科学应用和分析。这个项目本质上是跨学科的，具有挑战性和创新性。 因此，它涉及推动研究能力边界的风险。 成功的结果将通过提供对万维网内容进行研究的新手段而广泛影响社会科学。 收集的数据将公开提供。以及由此产生的新软件工具。