Special Topics

1359 Reflections on Innovative Development of Information Resource Management Discipline in China During the 15th Five-Year Plan Period Hot! Sun Jianjun, Fu Shaoxiong DOI: 10.3772/j.issn.1000-0135.2025.11.001 As the 14th Five-Year Plan reaches its end and the 15th Five-Year Plan approaches, the information resource management discipline is undergoing systemic transformations, including the upgrading of national strategic demands, profound restructuring of the disciplinary system, accelerated iteration of digital and intelligent technologies, evolution of social demands, and transformation of talent-cultivation models. Hence, top-level designs in disciplinary development must be strengthened, with support provided by advanced strategic planning in disciplinary foundation building, social services, and talent cultivation, to foster high-quality development and innovative breakthroughs in the discipline. In this regard, the authors systematically investigate methods to highlight the characteristics and enhance the synergistic effects of second-level discipline construction to deepen the connotation and expand the extension of first-level disciplines. The innovative development of an autonomous knowledge system for China’s information resource management discipline will elevate its discourse power and leadership within both the Chinese context and the global philosophy and social science systems. The authors further analyze the discipline’s core value in national strategies such as “Artificial Intelligence +” and “Data Elements ×” as well as global digital governance and services, with emphasis on enhancing its intellectual contributions and solution-providing efficacy to provide adequate support. Additionally, the authors highlight the necessity for systematic approaches to talent cultivation, including the structural optimization of degree programs, establishment of a composite talent-cultivation philosophy, development of interdisciplinary research teams, innovation of industry-education integration mechanisms, and international certification standards. 2025 Vol. 44 (11): 1359-1369 [Abstract] ( 20 ) HTML (94 KB)  PDF (776 KB)  ( 31 )

Intelligence Theories and Methods

1370 Multi-dimensional Coupling and Symbiotic Evolution Mechanism of Science and Technology in Emerging Industrial Fields Hot! Ba Zhichao, Meng Kai, Zhang Yujie, Xia Yikun DOI: 10.3772/j.issn.1000-0135.2025.11.002 The strategic layout of emerging industries often necessitates synergies between fundamental scientific research and technological innovation. Exploring the coupling and symbiosis between science and technology (S&T) is a pivotal avenue for discovering these synergies. To address the current challenges of low technological synergy and ambiguous pathways, this article adopts a parallel observation perspective on S&T coupling. It focuses on the symbiotic evolution process and collaborative innovation mechanisms between S&T in emerging industries. By shifting the scientific-technological correlation from a “one-way influence” paradigm to a “multi-dimensional coupling” framework, we delve into multi-dimensional coupling encompassing “element-transformation-structure.” This analysis examines structural coupling, symbiotic evolution (coupling), and dynamic coupling between S&T, offering an in-depth understanding of the iterative and progressive mechanisms underlying their interactions. Utilizing the Information and Communications Technology (ICT) industry as a case, we aim to validate the feasibility and effectiveness of exploring the coupling phenomenon of S&T systems. This approach offers insights into the structural and evolutionary characteristics of industries beyond traditional 1-mode networks, elucidating the mutual transformation processes and collaborative innovation mechanisms between scientific knowledge and technological practices within specific industries. 2025 Vol. 44 (11): 1370-1382 [Abstract] ( 15 ) HTML (139 KB)  PDF (3244 KB)  ( 24 )

1383 Model for Measuring the Threshold of Herd Immunity Spreading of Misinformation Hot! Cao Gaohui, Yang Renbiao, Li Yuanyuan, Dong Huanqing DOI: 10.3772/j.issn.1000-0135.2025.11.003 The dissemination of false information misleads public cognition and interferes with the normal order of information dissemination. Therefore, effective measures are required to curb this issue. In this study, a disinformation group immunization threshold measurement model is constructed based on the theory of vaccination. The transmission threshold of disinformation group immunization and its stability are investigated by constructing a simulation and then analyzing the ambiguity of the threshold interval further. Two methods of predicting the threshold interval of the group immunization are proposed, namely, the linear trend method and interval multiplier method. The impacts of the model's key parameters on the process of disinformation group immunization are investigated. The disinformation population immunization transmission threshold is an interval range with different probability distributions. When the ratio of the number of immunizers to the number of believers is not smaller than the inverse of the ratio of their infectious capacities, disinformation group immunization can be achieved. Both estimation methods can effectively predict the threshold interval of disinformation group immunization. However, the linear trend method is more accurate than the interval multiplier method. The node delineation criterion mainly affects the size of the transmission threshold interval, while the node conversion rule mainly affects the range of the transmission threshold interval. 2025 Vol. 44 (11): 1383-1396 [Abstract] ( 16 ) HTML (183 KB)  PDF (3058 KB)  ( 15 )

1397 Evolution of Domain Knowledge Based on Heterogeneous Information Networks Hot! Yang Xinyi, Yang Jianlin, Wang Wei DOI: 10.3772/j.issn.1000-0135.2025.11.004 A heterogeneous information network can model the complex relationships between multiple types of knowledge entities, thereby providing advantages in exploring the dynamics of knowledge differentiation, reorganization, integration, and evolution. This study first constructed a heterogeneous information network by extracting multiple types of relationships, such as author-paper, paper-venue, and paper-paper, and then built snapshot networks according to the evolution cycle of domain knowledge. Subsequently, the Leiden algorithm was used to detect network communities representing clusters of domain knowledge, and the evolutionary path was identified based on a model for group evolution discovery. Finally, the patterns of domain knowledge evolution were explored in terms of textual content and network topology. An empirical analysis of databases, data mining, and content retrieval demonstrated that knowledge clusters represented by heterogeneous information network communities are indicative of research topic transformation. In addition, as quantified by topological metrics including node degree centrality, k-core decomposition, and betweenness centrality, these clusters offer a nuanced interpretation of the importance of knowledge communication and maturity. The domain is advancing toward specialized applications and user personalization. 2025 Vol. 44 (11): 1397-1410 [Abstract] ( 18 ) HTML (144 KB)  PDF (5466 KB)  ( 21 )

1411 Research on the Engineering System of Innovation Intelligence Based on New Quality Productive Forces: A Case Study of the International Innovation Industry Information Service Platform Hot! Kang Chunhua, Lu Chunjiang, Lin Xin, Yuan Wei DOI: 10.3772/j.issn.1000-0135.2025.11.005 To promote the high-quality development of innovation intelligence, the research on the engineering system of innovation intelligence based on new quality productive forces must be strengthened. This study begins by analyzing the bidirectional empowerment relationship between new quality productive forces and innovation intelligence: on the one hand, new quality productive forces enhances the efficiency of innovation intelligence work, and on the other hand, innovation intelligence contributes to the cultivation and development of new quality productive forces. Building on the construction and operational practices of the International Innovation Industry Information Service Platform, this study explores the architectural framework of an engineering system for innovation intelligence aimed at new quality productive forces. The framework is elaborated through its key components and interrelationships across four layers: resource, middle platform, service, and support. Finally, the study proposes strategies to advance the engineering system of innovation intelligence based on new quality productive forces, focusing on six aspects: deepening the theoretical and methodological system of innovation intelligence based on new quality productive forces; exploring engineering paradigms for innovation intelligence through domestic and international practices; developing knowledge organization tools for innovation intelligence based on large language models; forging high-quality innovation intelligence service tools based on “high-end exchange platforms”; building an industrial development ecosystem for innovation intelligence within the modern industrial system; and cultivating innovation intelligence talent with engineering capabilities. 2025 Vol. 44 (11): 1411-1421 [Abstract] ( 14 ) HTML (87 KB)  PDF (1779 KB)  ( 10 )

1422 Computational Reasoning and Application Prospects of Social-Knowledge Big Graph Hot! Liu Zhenghao, Deng Yufeng, Li Hanzhi, Zheng Ziyang, Ding Zhen, Ma Feicheng DOI: 10.3772/j.issn.1000-0135.2025.11.006 Social-knowledge big graphs inherit and enrich the concepts of social networks and knowledge graphs, covering a variety of human-centered entities and dynamically changing multiple semantic associations. It is used in application scenarios, such as knowledge discovery, reasoning, and social recommendations in many fields. These materials have broad application prospects and value. This article focuses on exploring the value of social-knowledge graphs in computational reasoning and application scenarios, and looks forward to future development trends. Compared with traditional knowledge representation learning and knowledge reasoning, social-knowledge graphs are used in computing and reasoning tasks for complex decision-making scenarios because of their multifaceted nature, ease of calculation, dynamic timeliness, and interactive contagion. It has significant advantages including higher algorithm integration, innovation, and interpretability. In specific application scenarios, social-knowledge graphs have shown good application prospects in fields such as smart finance, social e-commerce, intelligence services, digital humanities, and crisis communication. In future, we will consider relying on cutting-edge technology support and combining it with specific field issues to further enrich the connotations and expand the application boundaries of social-knowledge big graphs. 2025 Vol. 44 (11): 1422-1443 [Abstract] ( 23 ) HTML (256 KB)  PDF (4908 KB)  ( 20 )

1444 Assessment of the Academic Impact of Scholars Based on the Co-contributorship Network Hot! Lu Chao, Li Mengting, Zhou Chenyu DOI: 10.3772/j.issn.1000-0135.2025.11.007 Establishing a more scientific, fair, and comprehensive talent evaluation system is crucial for stimulating innovation, advancing scientific progress, and promoting economic development. Accurately assessing the academic impact of scholars is a vital component of this new talent evaluation framework, with significant implications for talent selection and resource allocation. However, existing research often focuses on individual evaluations, ignoring the personal contributions of all members within collaborative teams, that hinders a comprehensive assessment of the academic impact of scholars. To address this issue, this study integrates author contributions to construct a co-contributorship network, using the co-authorship network as a baseline. The study explores the application value of these networks in assessing the impact of scholars based on four evaluation metrics, including bibliometric indicators. Based on the data of this study, we found that (1) The co-contributorship network showed certain similarity to the co-authorship network in the ranking of the Top 1000 high-impact authors. (2) The co-contributorship network ranked lower than the co-authorship network in bibliometric evaluation indicators; however, no practically noteworthy difference was observed between the two in network metric evaluation indicators. (3) In terms of the actual contribution evaluation indicators, the co-contributorship network was more effective in identifying high-impact authors who contributed significantly more to the team. Additionally, in collaboration characteristic evaluation indicators, the co-contributorship network better identified high-impact scholars who were more likely to be corresponding authors, ranked earlier in the author order, and younger. These findings suggest that, although the co-contributorship network is slightly less effective than the co-authorship network in identifying top academic impact scholars, it more likely identifies high-impact scholars who have made significant contributions and possess leadership qualities, aligning with the national requirements for selecting and employing talents in the new era. 2025 Vol. 44 (11): 1444-1457 [Abstract] ( 21 ) HTML (148 KB)  PDF (3323 KB)  ( 17 )

1458 Evolution of Intelligent Governance Service: From the Perspective of User Behavior Data Hot! Hu Guangwei, He Huanglan DOI: 10.3772/j.issn.1000-0135.2025.11.008 In the evolution of e-government services, intelligence has become a key factor that drives improvements in service quality. The intelligence of e-government services not only manifests at the technological level but also concerns the deep understanding of and timely response to user needs. However, the current e-government service system generally lacks insight into the deep needs of users. This may be partially because they lack the collection and analysis of user behavior data, and it is difficult to predict the personalized and dynamic needs of users in a forward-looking manner. Based on this, an analysis framework of internal and external user behavior of e-government services is constructed to support the systematic integration and comprehensive analysis of internal and external user behaviors. On this basis, the principles of using user behavior data to support the intelligence of governance services are analyzed, and intelligent information push services are selected as an application case to reveal the fundamental and important roles of user behavior data in the intelligence of governance services. The study emphasizes that when developing and applying user behavior data, it is necessary to clear target norms, solve the problems of black box and algorithmic bias, focus on maximizing public value, balance data openness and privacy protection, play the role of “algorithm governance,” strengthen the interconnection of data units, and pay attention to policy analysis and related data applications to provide a reference path for the intelligent evolution of governance services. 2025 Vol. 44 (11): 1458-1469 [Abstract] ( 18 ) HTML (115 KB)  PDF (3348 KB)  ( 13 )

1470 Construction of a Multilevel Public Opinion Risk Identification Network Model Integrating Related Event Traceability Hot! Liu Yizhou, Huang Wei DOI: 10.3772/j.issn.1000-0135.2025.11.009 The identification of online public opinion risks is a prerequisite for the targeted control of public opinion and is of great significance for online public opinion risk assessment and precise guidance. This study constructs a multilevel public opinion risk identification model that integrates related event tracing (multilevel risk identification model integrating related event tracing, ML-RIM-RET) at three levels: event relationship, data content, and user behavior. The model embeds a knowledge enhancement module in the event relationship layer and detaches primary risk sources by building an event graph. In the data content and user behavior layers, the model combines sentiment calculation, thematic risk analysis, and Gibbs sampling to calculate and identify public opinion risks under different related event tracing links. The empirical results indicate a long-tail effect between risk-associated event clusters and causal emergence density, indicating that a small number of risk sources have a high causal emergence density. According to the comparative experimental results, ML-RIM-RET performed the best in public opinion risk-identification in the context of enhanced knowledge of events. The model proposed in this study can quickly identify risk sources at different levels, which helps broaden the perspective of network public opinion risk governance and spatial restoration. 2025 Vol. 44 (11): 1470-1482 [Abstract] ( 19 ) HTML (164 KB)  PDF (2744 KB)  ( 20 )

Intelligence Discipline Development and Construction

1483 Developmental Prospect and Path for China Information Science in the New Era Hot! Zhang Haitao, Zhou Honglei, Luan Yu, Liu Weili, Zhang Chunlong DOI: 10.3772/j.issn.1000-0135.2025.11.010 The 20th National Congress of the Communist Party of China was triumphantly held, and the entire Party and the Chinese people of all ethnic groups embark on a new journey to build China into a modern socialist country in all respects. Advancing the rejuvenation of the Chinese nation on all fronts through a Chinese path to modernization has become the mission of the new era. In the development of new journeys, new practices, and new quality productive forces, it is important to explore the development prospects and paths of China’s information science in the new era. First, in the new historical context, China’s information science should undertake the mission of the times, build and deepen its own knowledge system, and define the future direction of the discipline’s development to accurately respond to and support the strategic needs of the country. Second, the development concept of information science in China emphasizes the idea of “macro-intelligence.” As a basic and applied discipline, this research focuses on the processing and utilization of intelligence, as well as how intelligence can empower management decision-making. In the future, this discipline should be developed by integrating both basic and applied dimensions, with a focus on its holistic nature, theoretical breakthroughs, and development models for the new era. Third, it is proposed that “The roots are deep to make the trees thrive, the trees thrive to ensure that the branches and leaves flourish; the soul is related to vitality, cast soul can stand in the peak of the new era”, which portrays the development vision of China’s information science in the new era. China’s information science field is committed to addressing meta-problems, constructing meta-theories and meta-methods, and opening new academic growth points in the new era. It adheres to the principle of “learning and applying in tandem” and consolidates the foundation of the discipline by combining endogenous and exogenous dynamics. This study aims to transform scientific knowledge into wisdom by focusing on the strategic goals of long-term national development. On this basis, it promotes the integrated development of science, technology, and industry; gathers intellectual power and support; and forms the philosophy, culture, and belief of intelligence, thereby developing China’s information science with a solid scientific foundation and distinctive intellectual soul. 2025 Vol. 44 (11): 1483-1492 [Abstract] ( 13 ) HTML (94 KB)  PDF (1800 KB)  ( 33 )