Research On Visualization Method Of Scientific Research Cooperation Behavior

With the continuous evolution and development of the discipline, human studies of scientific issues become increasingly complex, especially in the 20 th century, showing a particularly important and significant trends: interdisciplinary technology integration and penetration depth. It is this lifestyle changes, also contributed to this knowledge intensive scientific research into the cause of an integrated society. Even in this background, tentacles interdisciplinary extends to every corner of life, so that there is no cross-disciplinary research methods, it is difficult to generate new scientific breakthroughs. Along with this practical needs and requirements of the times, interdisciplinary, cross-team organization, and so forms continue to emerge, and gradually become the research and academic widely prevalent phenomenon, seek more effective scientific breakthroughs and break the constraints of individual knowledge thereby effectively be extended to different disciplines, to achieve new breakthroughs and innovation has become widespread scientific session hot topic.Information and knowledge of human showing explosive growth trend, which inevitably produce ideological collision and fusion of various disciplines, thereby displaying more interdisciplinary collaborative research the need for a new information age, the body in this mass of data, the data itself can not be spontaneous detonation of ideas and knowledge, so as researchers will continue seeking ways to better analysis and mining of useful information has become a must skills and abilities, a profound transformation of this change of scientific paradigm of this research collaboration behavior, interdisciplinary features already becoming increasingly apparent, how to better discriminate interdisciplinary collaborative behavior in networks, becoming Times are a hot topic.By comparing the most widely used at home and abroad interdisciplinary visualization tools and methods, to build a more reasonable on the basis of the analysis of the merits of the overall dynamic visualization method, which is more easily meet the needs analysis, dynamic tracking and forecasting interdisciplinary collaborative behavior status, hot spots and trends, more convenient discovery of the phenomenon of cross-disciplinary collaboration essential characteristics and laws. In order to study the state of the main features and more intuitive evaluation of interdisciplinary research collaboration and reaction behavior, the authors followed in the past on the basis of conventional tools by integrating twenty-three kinds of tools and algorithms so that their respective advantages and characteristics of more comprehensive, effective the main characteristics and research status of analysis and tracking research collaboration behavior.