論獨特性中心性之獨特性
本文旨在反駁尼爾（2024）對獨特性中心性度量的評論，主張獨特性中心性，特別是在處理加權網路和較高α參數值時，與Beta和Gamma中心性相比，能夠產生顯著不同的節點重要性排名，證明其作為社會網路分析中一種替代或補充度量的可行性。
고유성 중심성이 다른 중심성 지표와 구별되는 이유: 베타 및 감마 중심성과의 비교 분석
본 논문은 고유성 중심성이 네트워크 내에서 직접 연결된 노드의 중요성을 강조하며, 특히 연결성이 낮은 노드와의 연결에 주목하여 기존의 중심성 지표와 차별성을 갖는다는 것을 주장한다.
網紅轉發與病毒式傳播：線上社群中的聲望偏差效應
線上社群存在聲望偏差效應，網紅轉發貼文能有效提升資訊傳播效率，尤其在熱門貼文中更為顯著。
Influencers' Reposts Significantly Impact Information Spread on Twitter, Suggesting Prestige Bias
Users with high influence scores (as measured by the hg-index) on Twitter exhibit a greater ability to amplify the reach of others' content through reposts, indicating a prestige bias in online information diffusion.
The Impact of User Stubbornness on Polarization and Disagreement in Social Networks: A Mathematical Exploration Using the Friedkin-Johnson Model
While increasing stubbornness in a social network generally leads to higher polarization and disagreement, surprisingly, increasing the stubbornness of neutral individuals can actually have the opposite effect and decrease polarization and disagreement.
Quantifying the Impact of Influential Figures on Affective Polarization in Online Discussions
Influential figures on social media platforms significantly impact the level of affective polarization in online discussions on contentious topics like climate change and gun control.
Analyzing a Voter Model with Context-Dependent Opinion Adoption
Context-dependent opinion adoption in voter models impacts fixation probabilities and consensus times.
Analyzing Information Dissemination Model Based on User Attitude and Public Opinion Environment
The author proposes the UAPE model to consider dynamic user attitudes and public opinion environment in information dissemination, achieving higher accuracy than existing research.
Cost-Effective Activity Control of Asymptomatic Carriers in Layered Temporal Social Networks Analysis
The authors focus on modeling and optimizing activity control for asymptomatic carriers in layered temporal social networks to minimize disease spread while considering cost constraints.
Link Recommendation Algorithm for Social Influence Maximization
The authors propose an algorithm, AIS, for link recommendation to enhance social influence diffusion, providing a high-probability approximate solution with theoretical guarantees.
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