focusing on the way consensus is achieved within the research community. Examples include statistical studies of importance of certain publications and scientists and its relationship to factors outside the actual content, for example to timing of the
Research topics such as community detection and topic identification are becoming appealing in bibliometrics. Essentially, these two topics are not new to bibliometricians. On one hand, methods such as hierarchical
A useful level of analysis for the study of innovation may be what we call “knowledge communities”—intellectually cohesive,
organic inter-organizational forms. Formal organizations like firms are excellent at promoting cooperation, but knowledge
communities are superior at fostering collaboration—the most important process in innovation. Rather than focusing on what
encourages performance in formal organizations, we study what characteristics encourage aggregate superior performance in
informal knowledge communities in computer science. Specifically, we explore the way knowledge communities both draw on past
knowledge, as seen in citations, and use rhetoric, as found in writing, to seek a basis for differential success. We find
that when using knowledge successful knowledge communities draw from a broad range of sources and are extremely flexible in
changing and adapting. In marked contrast, when using rhetoric successful knowledge communities tend to use very similar vocabularies
and language that does not move or adapt over time and is not unique or esoteric compared to the vocabulary of other communities.
A better understanding of how inter-organizational collaborative network structures encourage innovation is important to understanding
what drives innovation and how to promote it.
Authors:Sujin Choi, Ji-young Park, and Han Woo Park
Across the world, the Internet has become an important means of developing and shaping science and innovation. The Internet can further be considered as the primary medium of social interaction within innovation communities. This aspect of the
Authors:T. S. Evans, R. Lambiotte, and P. Panzarasa
collaborations have even a longer history in the mathematics community, in which one of the earliest attempts to map and investigate the structure of social interaction within a scientific community was formalised through the concept of the Erdös number, a
Burgeoning research fields depend on a solid scientific and resource foundation as well as an active community for success and development. The early phases of a new area of interest offer an opportunity to
Authors:Luka Kronegger, Franc Mali, Anuška Ferligoj, and Patrick Doreian
networks are for whole scientific communities within one specific small country. In addition to having smaller networks, they are bounded by national borders and organizational structure of science on the national level. Both raise the probability of
educated return scholars on the development of the Taiwanese economic academic community. My results show that a large majority of current faculty tenured by Taiwan's top economic academic institutes has been educated or employed by a foreign university at
The objective of this paper is to show that various bibliometric indicators are a good departure point to describe a national research community, as well as the linkages between research institutions, the users of the research and the funders of the research community. We profile the Canadian coal and petroleum research communities. The role of CANMET, a government research laboratory, is examined as example of how our analysis can be useful to policy-makers and decision-makers.
-European scientific communities? (3) How do collaboration patterns vary among humanities, social sciences, and natural sciences? (4) Do papers published through international collaboration have a higher citation impact than papers with no international collaborators