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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How Public Opinion Risks in Social Hot Events Are Generated: A fsQCA Perspective to the generation of public opinion risks in social hot events and their complex coupling relationships, this paper aims to explore the underlying mechanism of such risk generation. Based on 155 cases of public opinion related to social hot events, this study applies the Fuzzy-Set Qualitative Compa

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Vulnerability Measurement of Social Media Users to Online Public Opinion in Emergency Contextlnerability to natural hazards and disasters. However, strikingly little attention has been paid to the driving factors affecting the social media users’ vulnerability to online public opinion of emergency in the context of online environment. In this paper, a data-driven approach is proposed to inv

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Analyzing Replies and?Interactions Among Users with?Different Stances: A Case Study of?the?Russia-Ukt stances is significant for comprehending the political, economic, military, and diplomatic factors, as well as the increasing polarization that has been widely observed among online discussions. This paper analyzes the replies from Reddit discussions, focusing on user replies to understand sentime

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Research on the Construction Method of Island Chain Knowledge Graph which may result in the omission of key information. Knowledge graph has the inherent advantage of integrating multi-dimensional and multi category data, providing a feasible solution for focusing on multi element processing of battlefield information. Therefore, we proposes a framework for constru

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A Knowledge and?Data Driven Method for?Air Combat Intention Recognition and data. Departing from traditional knowledge base methods, our proposed framework leverages the interpretability of the Belief Rule Base (BRB) method and augments it with advancements in machine learning, particularly deep learning. The study explores the intricate interplay between BRB and neura

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Model-Based Systems Engineering Supporting Architecture Modeling of Air Traffic Management System anr traffic. For different environments and different aircraft types, ATM systems need to be designed differently. Now that the Concorde has been out of service for more than 20?years, there is a lack of supersonic aircraft in the civil aviation market. However, as a new type of aircraft, supersonic a

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Mission Modeling for?the?Perseverance Rover Based on?KARMA Languagemethod, aiming to address the complexity management challenges in traditional document-based approaches. However, limited by a lack of diversity in project and constraints on knowledge, the application of MBSE faces several issues. These include insufficient hierarchical decomposition of missions, o

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Social Media Oriented Fake News Detection Based on?Social Context and?Cascade Graph news content and user comments on social media. However, these researches ignore the cascades of news propagation. Accordingly, we propose a Social Content and Cascade Neural Network (SCCN) that integrates cascade information into the model. Specifically, we adopt Bi-LSTM, graph attention mechanism