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CiteSpace: visualizing patterns and trends in scientific literature

CiteSpace: visualizing patterns and trends in scientific literature
CiteSpace is a freely available Java application for visualizing and analyzing trends and patterns in scientific literature. It is designed as a tool for progressive knowledge domain visualization (Chen, 2004). It focuses on finding critical points in the development of a field or a domain, especially intellectual turning points and pivotal points. Detailed case studies are given in (Chen, 2006) and other publications. CiteSpace provides various functions to facilitate the understanding and interpretation of network patterns and historical patterns, including identifying the fast-growth topical areas, finding citation hotspots in the land of publications, decomposing a network into clusters, automatic labeling clusters with terms from citing articles, geospatial patterns of collaboration, and unique areas of international collaboration. The primary source of input data for CiteSpace is the Web of Science. Notes: You need to have Java Runtime installed on your computer. Yes. Disclaimer

AuthorMap AuthorMap: Arts and Humanities AuthorMap explores author relationships through co-citation patterns. The assumption is that if two authors are often cited together by many other authors, these two authors likely have common intellectual interest in their research and writing. When many related authors' pair-wise co-citation patterns are explored, we will have a map of a subject domain where authors on the map represent ideas or subtopics as well as their relationships. When an author search is conducted, AuthorMap generates a list of 25 authors co-cited most often with the given author.

Digital Sociology Between Promise and Practice: Web 2.0, Intercultural Dialogue and Digital Scholarship Professor Ien Ang Centre for Cultural Research, University of Western Sydney Dr Nayantara Pothen Centre for Cultural Research, University of Western Sydney Introduction The Internet has been a popular method for communication and collaboration across far-flung sites for some time, and its potential for enhancing participatory democracy has been much commented on. This article provides a critical (self-)analysis of diverCities: A Global Collaboration Space for Intercultural Dialogue, a digital humanities experiment. Although it was in the research team's mind to eventually launch diverCities in the public domain of the Internet, the project never reached beyond the prototype phase: this public launch will never happen because the project turned out to be inviable, and not just because of financial restrictions, as we will describe below. Intercultural Dialogue Building Content: Users and Contributors

Self-surveillance NYU ITP graduate student Federico Zannier collected data about himself — online browsing, location, and keystrokes — for his thesis. As he dug into personal data more and looked closer at company privacy policies, he wondered what it might be like if individuals profited from their own data. That is, companies make money using the data we passively generate while we browse and use applications and visit sites. What if individuals owned that data and were able to sell it? Enter Zannier's Kickstarter campaign to sell his own data for $2 per day of activity. I started looking at the terms of service for the websites I often use. Clearly this is more of a statement and conversation starter, but what if? There's about a week left in the campaign, and it's well past the goal.

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