Titlebook: Knowledge and Systems Sciences; 23rd International S Xijin Tang,Van Nam Huynh,Quan Bai Conference proceedings 2025 The Editor(s) (if applic

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書目名稱Knowledge and Systems Sciences影響因子(影響力)




書目名稱Knowledge and Systems Sciences影響因子(影響力)學(xué)科排名




書目名稱Knowledge and Systems Sciences網(wǎng)絡(luò)公開度




書目名稱Knowledge and Systems Sciences網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Knowledge and Systems Sciences被引頻次




書目名稱Knowledge and Systems Sciences被引頻次學(xué)科排名




書目名稱Knowledge and Systems Sciences年度引用




書目名稱Knowledge and Systems Sciences年度引用學(xué)科排名




書目名稱Knowledge and Systems Sciences讀者反饋




書目名稱Knowledge and Systems Sciences讀者反饋學(xué)科排名

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Conference proceedings 2025nia, Australia, during?November 16–17, 2024...The 23 full papers presented in this book were carefully reviewed and selected from 50 submissions. They are organized in the following topical sections: Complex networks and modeling; Opinion dynamics; Knowledge technologies and systems engineering; Knowledge management..

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Knowledge and Systems Sciences978-981-96-0178-3Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Construction and Evaluation of a Subjects Synergistic Network for Cross-Regional Major Infectious Divels, and sectors to deal with the emergency response process. This study aimed to investigate the use of a complex network to construct a subject synergistic network and evaluate synergy to improve the efficiency of emergency response in cross-regional major infectious diseases. Emergency response

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Evolution of Cumulative Reciprocity in Structured Populations strategies in repeated interaction, while network reciprocity often simplifying players’ strategies to pure strategies or a limited set of classic strategies. Consequently, understanding the evolutionary dynamics of large-scale and diversity strategies in structured populations remains a challenge.

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Simulating Social Network with?LLM Agents: An Analysis of?Information Propagation and?Echo Chamberssimulating social network dynamics. Focusing on the Roe v. Wade case, which significantly influenced abortion laws and women’s rights in the United States, we model public opinion propagation on Twitter through likes, retweets, comments, and posts. Multiple simulation experiments are conducted to ob