Abstract Graph Convolutional Networks (GCNs) are promising deep learning approaches in learning representations for graph-structured data. Despite the proliferation of such …
We study allocation of COVID-19 vaccines to individuals based on the structural properties of their underlying social contact network. Even optimistic estimates suggest that most …
The topology of the hyperlink graph among pages expressing different opinions may influence the exposure of readers to diverse content. Structural bias may trap a reader in …
Characterizing the importances (ie, centralities) of nodes in social, biological, and technological networks is a core topic in both network analysis and data science. We …
At the dawn of the Internet era graph analytics play an important role in high-and low-level network policymaking across a wide array of fields so diverse as transportation network …
R Yan, Y Li, D Li, Y Wang, Y Zhu, W Wu - ACM Transactions on …, 2021 - dl.acm.org
Cyberbullying has caused serious consequences especially for social network users in recent years. However, the challenge is how to fight against the cyberbullying effectively …
Z Zhang, Z Zhang, G Chen - Proceedings of the 30th ACM International …, 2021 - dl.acm.org
The spectral radius of the non-backtracking matrix for an undirected graph plays an important role in various dynamic processes running on the graph. For example, its …
S Yu, D Kempe, Y Vorobeychik - arXiv preprint arXiv:2105.00505, 2021 - arxiv.org
Many collective decision-making settings feature a strategic tension between agents acting out of individual self-interest and promoting a common good. These include wearing face …
X Yao, G Liang, C Gu, H Huang - Computer Networks, 2021 - Elsevier
In 2020, the information about Corona Virus Disease 2019 (COVID-19) is overwhelming, which is mixed with a lot of rumors. Rumor and truth can change people's believes more …