报告题目：The entropy energy and structure balance of signed social network（符号社会网络的熵、能量和结构平衡）

报告人：李振鹏 教授, 台州学院电子与信息工程学院（大数据学院）

报告时间：2022年12月13日14:00-16:00

报告地点：腾讯会议：340-311-843

内容摘要：Global phenomena involving the behaviors of agents, structure, and function of a social network are omnipresent, and multidisciplinary interest in understanding how highly connected systems operate is still making progress. Here, we apply signed graph entropy, energy, and structure balance, the three quantitative indicators to investigate the ubiquitous positive and negative effects on signed social metrics. The result is consistence with the theoretic analysis that the random signed graph $G(n,p,q)$ is almost always unbalanced. We consider the energy of signed social networks and find that real-world signed social networks significantly have different energy and balanced levels compared to a null model as a contrasting background. We also propose the mathematical description of signed social network's energy, entropy, and structural balance.

关键词：符号网络，结构平衡，网络结构熵，网络能量