TY - CONF AU - SAKA, Ayaka AU - IGAMI, Masatsura A2 - T1 - Mapping Modern Science Using Co-citation Analysis T2 - IV '07: Proceedings of the 11th International Conference Information Visualization PB - IEEE Computer Society C1 - Washington, DC, USA PY - 2007/ CY - VL - IS - SP - 453 EP - 458 UR - http://portal.acm.org/citation.cfm?id=1270398.1271658 DO - http://dx.doi.org/10.1109/IV.2007.77 KW - citation KW - cocitation KW - kosynus KW - research KW - science KW - zitationsanalyse L1 - SN - 0-7695-2900-3 N1 - Mapping Modern Science Using Co-citation Analysis N1 - AB - Bibliometric analysis is used as a measuring activity technique for basic research. There are many country level analyses of trends in scientific publications. These analyses give us an understanding of the macro-scale character of scientific activities. However, it is difficult to capture the qualitative evolution of scientific activities through them. In this regard, a meso-scale analysis of science activities, i.e., analysis of "research areas", is suitable for grasping qualitative changes in scientific activities. In this study, we develop a new method for mapping science at the research area level. Our method consists of two parts: constructing research areas from scientific publications and content analysis by experts. Research areas are explored through a co-citation analysis, and a map of science was generated to analyze how research areas relate to each other. This method contributes to endeavours to understand and track the changing nature of science. ER - TY - GEN AU - Cattuto, Ciro AU - Loreto, Vittorio AU - Pietronero, Luciano A2 - T1 - Collaborative Tagging and Semiotic Dynamics JO - PB - C1 - PY - 2006/05 VL - IS - SP - EP - UR - http://arxiv.org/abs/cs/0605015 DO - KW - FCA KW - OntologyHandbook KW - folksonomy KW - research KW - tagging KW - taxonomy L1 - N1 - N1 - AB - Collaborative tagging has been quickly gaining ground because of its

ability to recruit the activity of web users into effectively organizing

and sharing vast amounts of information. Here we collect data from

a popular system and investigate the statistical properties of tag

co-occurrence. We introduce a stochastic model of user behavior embodying

two main aspects of collaborative tagging: (i) a frequency-bias mechanism

related to the idea that users are exposed to each other's tagging

activity; (ii) a notion of memory - or aging of resources - in the

form of a heavy-tailed access to the past state of the system. Remarkably,

our simple modeling is able to account quantitatively for the observed

experimental features, with a surprisingly high accuracy. This points

in the direction of a universal behavior of users, who - despite

the complexity of their own cognitive processes and the uncoordinated

and selfish nature of their tagging activity - appear to follow simple

activity patterns. ER - TY - BOOK AU - Yin, Robert K. A2 - T1 - Case Study Research: Design and Methods PB - Sage Publications C1 - Beverly Hills, CA PY - 1984/ VL - IS - SP - EP - UR - http://www.amazon.ca/gp/product/0761925538/ref=wl_it_dp/702-0885532-1303250?ie=UTF8&coliid=I1NIZV3GVL8OUS&colid=1DVGN4EKR6AVM DO - KW - case KW - design KW - research KW - studies KW - study L1 - SN - N1 - N1 - AB - This new edition of the best-selling Case Study Research has been carefully revised, updated, and expanded while retaining virtually all of the features and coverage of the Second Edition. Robert Yin's comprehensive presentation covers all aspects of the case study method--from problem definition, design, and data collection, to data analysis and composition and reporting. Yin also traces the uses and importance of case studies to a wide range of disciplines, from sociology, psychology and history to management, planning, social work, and education. ER -