TY - JOUR AU - Huang, Yaowei AU - Shang, Jinghuan AU - Lin, Bill AU - Fu, Luoyi AU - Wang, Xinbing PY - 2018/04/29 Y2 - 2024/03/29 TI - Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 32 IS - 1 SE - Student Abstract Track DO - 10.1609/aaai.v32i1.12128 UR - https://ojs.aaai.org/index.php/AAAI/article/view/12128 SP - AB - <p> In this paper, we propose a novel community detection model, which explores the dynamic community evolutions in temporal social networks by modeling temporal affiliation strength between users and communities. Instead of transforming dynamic networks into static networks, our model utilizes normal distribution to estimate the change of affiliation strength more concisely and comprehensively. Extensive quantitative and qualitative evaluation on large social network datasets shows that our model achieves improvements in terms of prediction accuracy and reveals distinctive insight about evolutions of temporal social networks. </p> ER -