Papers by Keyword: Sociology

Abstract: With the development of information technology, more and more data about social to be collected. If we can analyze them effectively, it will help people to understand sociological understanding, promoting the development of social science. But the increasing amount of data and analysis to put forward a huge challenge. Now the social networks have already surpassed the processing ability of the original analysis means, must use a more effective tool to complete the analysis task. The computer as a way of helping people from massive data to find the potential useful knowledge tools, play an important role in many fields. Social network analysis, also known as link mining, refers to the handling of the relationship between social network data in the computer method. In this paper, the methods of computer and the social network analysis was introduced in this paper and the computer algorithms are summarized in the application of social network analysis.

Abstract: Research the evolution of architectonic aesthetics by concentrating on politics and economics in the background of Globalization. The accelerative modernization forces the individual aesthetic needs into the opposite, from which point out the evolution of the post-modern architecture can also be traced into the process from the deviation from astriction to sensibility then to the reflection on basic rationalism and at last to the aesthetic individualism. In conclusion, the trend of individualism, personalization and pure “experience” in architectonic aesthetics will continue its evolution and exert its influence on the development of Chinese architecture.

Abstract: The social dimensions of nanotechnology have aroused widespread interests in recent years. In US, for example, the National Nanotechnology Initiative (NNI) mandates that a large amount of funding resources to be allocated for studying the societal implications of nanotechnology. Since NNI took effect in 2001, teaching and research in the social dimensions of nanotechnology have grown tremendously [1]. Advances in social network analysis have opened up new research opportunities to understand nanotechnology research and development. In particular, understanding scientific collaboration can help researchers and entrepreneurs better strategize and exploit research opportunities in nanotechnology. Moreover, social network analysis relies heavily on quantitative measures. This feature may serve as a bridge between natural and social scientists to jointly investigate the future directions of nanotechnology research and development (R&D). Using a social network analysis framework, this paper examines the patterns of intra- and inter-disciplinary collaborations among nanotechnology scientists. As an exploratory study, I discuss three methodological issues after reporting some descriptive results. First, the collaborative density used in this study is only one structural measure among many others. When investigating network positions, researchers can utilize other network measures according to specific purposes. Second, generalization may be methodologically problematic for network data. Accordingly, researchers should ascertain the plausibility of probability assumptions. Finally, Bayesian estimates allow researchers to combine beliefs about prior distribution and sample likelihood. Assuming a beta-binomial model, I present a set of Bayesian estimates.