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.

@inproceedings{1271658, author = {SAKA, Ayaka and IGAMI, Masatsura}, title = {Mapping Modern Science Using Co-citation Analysis}, booktitle = {IV '07: Proceedings of the 11th International Conference Information Visualization}, publisher = {IEEE Computer Society}, address = {Washington, DC, USA}, year = {2007}, pages = {453--458}, url = {http://portal.acm.org/citation.cfm?id=1270398.1271658}, doi = {http://dx.doi.org/10.1109/IV.2007.77}, isbn = {0-7695-2900-3}, keywords = {citation, cocitation, kosynus, research, science, zitationsanalyse}, abstract = {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.} }

%0 = inproceedings %A = SAKA, Ayaka and IGAMI, Masatsura %B = IV '07: Proceedings of the 11th International Conference Information Visualization %C = Washington, DC, USA %D = 2007 %I = IEEE Computer Society %T = Mapping Modern Science Using Co-citation Analysis %U = http://portal.acm.org/citation.cfm?id=1270398.1271658

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.

@misc{Cattuto2006, author = {Cattuto, Ciro and Loreto, Vittorio and Pietronero, Luciano}, title = {Collaborative Tagging and Semiotic Dynamics}, year = {2006}, note = {ttarXiv:cs.CY/0605015}, url = {http://arxiv.org/abs/cs/0605015}, keywords = {FCA, OntologyHandbook, folksonomy, research, tagging, taxonomy}, abstract = {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.} }

%0 = misc %A = Cattuto, Ciro and Loreto, Vittorio and Pietronero, Luciano %D = 2006 %T = Collaborative Tagging and Semiotic Dynamics %U = http://arxiv.org/abs/cs/0605015

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.

@book{yin84, author = {Yin, Robert K.}, title = {Case Study Research: Design and Methods}, series = {Applied social research methods series}, publisher = {Sage Publications}, address = {Beverly Hills, CA}, year = {1984}, url = {http://www.amazon.ca/gp/product/0761925538/ref=wl_it_dp/702-0885532-1303250?ie=UTF8&coliid=I1NIZV3GVL8OUS&colid=1DVGN4EKR6AVM}, keywords = {case, design, research, studies, study}, abstract = {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.} }

%0 = book %A = Yin, Robert K. %C = Beverly Hills, CA %D = 1984 %I = Sage Publications %T = Case Study Research: Design and Methods %U = http://www.amazon.ca/gp/product/0761925538/ref=wl_it_dp/702-0885532-1303250?ie=UTF8&coliid=I1NIZV3GVL8OUS&colid=1DVGN4EKR6AVM