Intelligence Theories and Methods

1257 Effect of Weak Ties Based on Patent Collaboration Network Hot! Wu Keye, Sun Jianjun, Zhang Zihan DOI: 10.3772/j.issn.1000-0135.2024.11.001 Collaborative research and development (R&D) is widely recognized as an effective method to enhance the efficiency of corporate technological innovation by promoting the flow and sharing of innovation factors. Previous studies pertaining to collaboration and technological innovation performance are primarily limited to the R&D subject level and focus only on the node attributes of individual R&D organizations in the collaboration network, whereas their linkage characteristics are not considered. Inspired by the theory of weak ties in social networks, this study constructs a year-by-year collaboration network based on all collaborative patents in the field of pharmaceuticals up to 2015 to investigate whether a weak-linking effect exists in R&D collaboration networks. Specifically, considering each cooperative patent as the research object, this study first calculates the link-strength index of each pair of cooperative organizations in the previous cooperative network and distinguishes between strong and weak links accordingly. Second, link status and link strength are regarded as explanatory variables; patent influence, disruptiveness, and market value are regarded as explanatory variables; and regression analysis is performed to investigate the effect of the strength of cooperative relationships on the innovation performance of patent outputs. Descriptive statistics show that the top 25% of the innovation performance indicators of patents generated by weak-link cooperation are higher than those generated by strong-link cooperation, thus indicating that weak-link cooperation is more likely to yield high-value patents. Regression results show that both link status and link strength adversely affect patent disruptiveness, whereas they contribute positively to patent impact and market value. This suggests that weak cooperative links are conducive to enhancing patent disruptiveness and transcending technological bottlenecks. However, they are not adapted to the existing technological system, and their market introduction is marked by high resistance. Only the establishment of a strong, solid linkage cooperation relationship can result in a cooperation output with practical application value and expand the technical influence and market value. 2024 Vol. 43 (11): 1257-1268 [Abstract] ( 42 ) HTML (170 KB)  PDF (1192 KB)  ( 81 )

1269 Interdisciplinary Measurement of Projects Based on Three-dimensional Perspective Hot! Zhang Xue, Zhang Zhiqiang, Deng Cheng, Wang Jiamin DOI: 10.3772/j.issn.1000-0135.2024.11.002 Measuring the interdisciplinarity of scientific funded projects not only supplements existing published results but also facilitates the management of early understanding pertaining to the current interdisciplinary situation and promotes interdisciplinary research. This study attempts to construct a comprehensive interdisciplinary research measurement system from three dimensions: project output papers (external knowledge fusion), project program element code (internal field cooperation), and project text content (microknowledge convergence). Additionally, projects from the Department of Biological Sciences funded by the U.S. National Science Foundation from 2009-2018 are used as examples to validate the feasibility and effectiveness of the proposed system. At the theoretical level, this study enriches and improves interdisciplinary measurement methods; at the practical level, it provides data support and a decision-making basis for promoting interdisciplinary development from the perspectives of scientific funding institutions, researchers, and others. 2024 Vol. 43 (11): 1269-1282 [Abstract] ( 28 ) HTML (145 KB)  PDF (4173 KB)  ( 63 )

1283 Research on the Profile and Identification Method of Young Scientific and Technological Talents Hot! Zhang Yang, Huang Zixuan, Zhu Jiaqi DOI: 10.3772/j.issn.1000-0135.2024.11.003 In the context of reforming talent evaluation in science and technology to address the issue of the “four only” and establish new standards, the utilization of data-driven technology to objectively and comprehensively uncover the potential of talents and create a tagging system for identifying young talents holds great significance for the early discovery and allocation of talents, as well as for promoting national scientific and technological innovation. This study introduces a method for profiling and identifying young scientific and technological talents. First, a youth scientific and technological talent profile is constructed from six dimensions: basic attributes, research direction, academic productivity, academic influence, innovation potential, and cooperation ability, in line with the current evaluation orientation of talent evaluation. Second, a talent profile model is developed based on knowledge graphs, and multi-source data are collected to build a profile database. Finally, young scientific and technological talents are identified through unsupervised clustering analysis and supervised data search. The experimental test was conducted on young scholars in the field of information resource management. The results demonstrate that this method comprehensively explores the characteristics and inherent patterns of talents, meeting the actual needs of talent identification with good accuracy and showing promising feasibility, effectiveness, and interpretability. 2024 Vol. 43 (11): 1283-1296 [Abstract] ( 31 ) HTML (161 KB)  PDF (9205 KB)  ( 58 )

1297 Configuration Attribution of Government Responsiveness from Emergency Management Departments during Major Emergencies Hot! Su Xinyu, Zhang Haitao, Zhang Xinrui, Liu Weili DOI: 10.3772/j.issn.1000-0135.2024.11.004 The international situation is turbulent, causing countries to face many unforeseen emergencies. To ensure that countries can respond quickly and effectively to crises and protect the lives and property of their citizens, governments urgently need to improve their emergency management capabilities. In view of the current differences in the responsiveness of emergency management departments in different provinces and the incompleteness of single-factor analyses of government functions, the websites of emergency management departments in 31 provincial administrative regions were selected for this study to obtain public data. The fuzzy-set Qualitative Comparative Analysis (fsQCA) was used to conduct a multifactor attribution analysis of government responsiveness. Simulation results were obtained through experimental data and agent modeling technology. The study findings showed that the strong government response of emergency management departments could be divided into three types─“both financial and quantity,” “sourcing-oriented,” and “strategizing”─while the poor government response could be divided into two types─“disaster impact” and “time tight responsibility.” On the basis of the government-public opinion model, when the response time is mainly considered and a deviation between government processing time and public waiting time is observed, the cross-cycle point difference between the two is nearly 44 days, which provides a reference for government emergency management departments to respond effectively to the public. 2024 Vol. 43 (11): 1297-1309 [Abstract] ( 23 ) HTML (126 KB)  PDF (3350 KB)  ( 54 )

Intelligence Technology and Application

1310 Identification of Potential Key Players in “Neck-Jamming” Technologies within Framework of Innovation Ecosystems Hot! Ma Hongye, Feng Nanping, Yang Shanlin DOI: 10.3772/j.issn.1000-0135.2024.11.005 Identifying potential key players for addressing critical technological challenges is crucial in constructing an innovation ecosystem that overcomes the disadvantages of “neck-jamming” technologies. This study employs resource orchestration theory in conjunction with multidimensional patent data, including features, classification codes, and textual information, to develop a two-stage model for identifying potential key players in “neck-jamming” technology. First, we evaluate the resource endowments of innovative entities in the field to create a “resource pool” of potential key players. Next, we assess the collaborative capabilities of system leaders and potential key players within this pool. Based on their resource endowments and collaborative capabilities, we classify the potential system members into four categories: core, developing, general, and peripheral. This categorization facilitates the selection of system members. Finally, we apply and validate the model using an example of lithography technology to demonstrate its scientific rigor. 2024 Vol. 43 (11): 1310-1321 [Abstract] ( 33 ) HTML (187 KB)  PDF (1888 KB)  ( 53 )

1322 Dynamic and Static Analysis of Cross-Domain Technological Coopetition Based on Dual BERT Text Analysis Approach Hot! Zhang Haonan, Zhu Fangwei, Lin Yuan, Xu Kan, Wang Haoyue DOI: 10.3772/j.issn.1000-0135.2024.11.006 Anchored in the strategy of strengthening the nation through corporate science and technology, we promote the development of interdisciplinary engineering projects and the advancement of cross-domain technologies within enterprises. This study proposes a strategy for matching the distribution of enterprise technology based on deep learning. Utilizing deep learning, this study constructed four types of BERT (bidirectional encoder representations from transformers) models, combining professional engineering tags to pretrain 70,000 patent texts, thereby identifying corporate attributes. By constructing a tag tension matrix and calculating the weighted cosine similarity function, a technology cooperation matching module was created to filter collaborators. Additionally, based on a temporal analysis, the technological competition and cooperation between partnering enterprises were tracked, determining the scope of cooperation. Thus, from both ‘static’ and ‘dynamic’ perspectives, a quantitative strategy for cross-domain technological cooperation in enterprises is proposed. The reliability of the method was demonstrated through a case study of a high-growth enterprise in the biopharmaceuticals engineering sector. 2024 Vol. 43 (11): 1322-1333 [Abstract] ( 29 ) HTML (124 KB)  PDF (3264 KB)  ( 75 )

1334 Research on the Relationship between Emergent Event Extraction and Evolution— The Case of the Emergency Services Platform Hot! Zeng Jin, Jiang Changjiang, Li Xinlai, Chen Ling DOI: 10.3772/j.issn.1000-0135.2024.11.007 Research on the extraction and evolutionary relationship of emergencies can help quickly and accurately understand event situations, reveal complex event relationships, analyze event development trends, predict possible consequences, and provide a basis for scientific emergency service decision-making. In this paper, we crawled emergency incident data from the emergency service network. We utilized natural language processing technology and deep learning algorithms to extract structured information, correlations, and evolutionary relationships of events from unstructured text. We constructed a comprehensive process for event extraction and evolutionary relationships known as “scenario elements-event” for emergencies, so as to clarify the causes, correlation information, and potential consequences of emergencies. The study also clarifies causes and related information of emergencies, details the evolution process of emergencies, and validates the method on the collected dataset. We constructed an emergency event recognition and classification model, an event entity extraction model, an event relationship extraction model, and an event evolution relationship model. Operating effects of different models are compared, and experimental results confirm the effectiveness of the proposed models in this study, enriching existing methods for emergencies. 2024 Vol. 43 (11): 1334-1348 [Abstract] ( 22 ) HTML (158 KB)  PDF (2035 KB)  ( 59 )

Intelligence Users and Behavior

1349 Exploring the Relationships among Interaction Perception, Behavior, and Quality during Users' Online Health Information Searches Hot! Zhang Xiaotong, Li Yuelin, Xin Ran DOI: 10.3772/j.issn.1000-0135.2024.11.008 This study focused on interaction perception, behavior, and quality during users’ online health information searches. We conducted an experiment involving eight simulated work task situations in which we observed 64 participants and recorded when they searched for health information. We performed correlation and stepwise multiple linear regression analyses to analyze the relationships among interaction perception and quality as well as between interactive behavior and interaction quality. The results indicated that users’ information-interaction and task-interaction perceptions during online health information searches were significantly correlated with interaction quality. We also found that interaction perception, to some extent, impacted interaction quality. However, the correlation between perceived interaction performance and quality was not significant. Additionally, system- and content-interactive behaviors were significantly correlated with interaction quality, and we identified interactive behavior as an effective indicator for characterizing or predicting users’ online health information interaction quality. The findings reveal the influence of interaction perception on interaction quality, and suggest the indication or predictive value of interactive behavior on interaction quality. The results help us understand users’ health information searching behavior and processes better and have implications for improving the design of intelligent health information retrieval and services. 2024 Vol. 43 (11): 1349-1365 [Abstract] ( 28 ) HTML (265 KB)  PDF (1733 KB)  ( 58 )

Intelligence Discipline Development and Construction

1366 Intellectual-Property Information: Background, Concept, and Application Scenarios Hot! Wei Jingzhu, Cao Huizi DOI: 10.3772/j.issn.1000-0135.2024.11.009 Intellectual-property information contributes significantly to innovation and development and has garnered the attention of information-science scholars. However, intellectual-property information does not form the corresponding discipline cognition. A background investigation of national strategies, intellectual-property development, and social-practice requirements clarified the importance of establishing and developing intellectual-property information systems. The core concepts are defined by reviewing the developmental stages of intellectual-property information research. This paper presents the characteristics of intellectual-property information, the research content, the study subjects, and the framework formed for intellectual-property information. Positioned as a pivotal branch within information science, intellectual-property information offers robust support for scientific and technological innovation as well as for national development. 2024 Vol. 43 (11): 1366-1378 [Abstract] ( 14 ) HTML (136 KB)  PDF (4964 KB)  ( 57 )