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The purpose of this paper is to analyze the network structure of technology in and between different fields, as well as the evolution of their relations.

Using the patent data in Derwent Innovation Index (DII) from 1991 to 2010, this paper analyzes the co-classification of Derwent Manual Code (DMC) of patents in all technology fields. Large-scaled co-classification matrices are employed to generate the DMC co-classification networks. In addition, analyses are pursued at different levels of aggregation in four five-year windows: 1991-1995, 1996-2000, 2001-2005 and 2006-2010. Using Girvan-Newman algorithm in the clustering process, the structure transformations over time are detected.

The paper identifies the key technological knowledge in certain fields and finds out how different technological fields are connected and integrated. What is more, the dynamic evolution between networks in different time periods reveals the trend of generic technology development in the macroscopic level.

The paper investigates a large quantity of data – all the patent data in DII from 1991 to 2010 in this paper. The paper applies Girvan-Newman algorithm in the co-classification analysis and uses co-classification networks to reveal technology network structures. Evolution coincident with the realistic technological shifts can be observed.

The purpose of this paper is to help China's science and technology (abbr. as S&T) managers and related policy makers to allocate S&T human resources, optimize organizational systems of laboratories, design and plan some grant projects, and manage other S&T‐related work in the field of nanoscience and nanotechnology, by measuring and mapping of technology‐fields correlation, with nanotechnology as an example.

Methodologies such as co‐occurrence analysis, correlation analysis, multidimensional scaling (abbr. as MDS) analysis, dendrogram (tree‐like) analysis, etc. are employed to measure and map technology‐fields correlation.

It is found that the exact relevance degree of any two technology‐fields exists among the top 33 technology‐fields with high frequencies. There are three industrial clusters in Multidimentional Scaling View, that is, nanotechnology used in bio‐medical industry, nanotechnology used in new material industry and nanotechnology used in electronic industry. Hierarchy of any two technology‐fields can be found out in the dendrogram view of the top 33 technology‐fields.

This paper could be of great significance to China's S&T managers and related policy makers, especially in the area of nanotechnology, in selecting and managing generic technology and the findings in this paper can be applied in some other fields of science and technology management in China. Both technology‐fields correlation analysis and MDS and dendrogram view analysis could benefit China's policy makers in managing nanotechnology research and development activities.

The purpose of this paper is to help people understand innovation and related policies in China over the past 25 years by using and analyzing patent data retrieved from State Intellectual Property Office (SIPO) of the People's Republic of China, at: http://www.sipo.gov. cn/sipo2008/tjxx/. Innovation in China attracts attention all over the world. The patent is considered as the fountain of innovation and is widely applied to measure innovation of a country or a region.

This study analyzed the trends of both patent filings and patent grants/registrations during 1985‐2009 and explored the ratio change between them by using data statistical method. Based on the statistically analysis, patent law and related policies were further analyzed. The paper also gives some suggestions on Chinese innovation policy.

The paper drew the following conclusions: both total patent filings and total patent grants/registration in SIPO appear to have an increase of exponential trends, especially during the years of 2005‐2009; patent filings and patent grants/registration in SIPO also appear to have an increase of exponential trends, but the gap between patent filings and patent grants/registration seems to be widening in recent years; the two revisions of Chinese patent law in the years 1992 and 2000 have had some positive impacts on patent filings and patent grants/registration to some degree; the ratios of patent filings to total patent filings and patent grants/registration to total patent grants/registration in SIPO during the years of 1985‐2009 are comparatively lower by 31.60 percent and 16.37 percent; and Japan and USA are the two leading countries in terms of non‐resident patent grants/registration in SIPO.

This study is still macroscopic, more detailed analysis should be done in future studies.

This study takes an overall view of innovation in China in the past 25 years by analyzing patent data and related law and policies. It proposes related institutions perfection, which will enhance innovation development in China.

Research on innovation in China via patentometrics has not been found thus far using all patent data during the period of 1985‐2009 in SIPO.