Minimizing the spread of misinformation in online social networks: A survey

A Zareie, R Sakellariou - Journal of Network and Computer Applications, 2021 - Elsevier
Online social networks provide an opportunity to spread messages and news fast and
widely. One may appreciate the quick spread of legitimate news and messages but …

Not all low-pass filters are robust in graph convolutional networks

H Chang, Y Rong, T Xu, Y Bian… - Advances in …, 2021 - proceedings.neurips.cc
Abstract Graph Convolutional Networks (GCNs) are promising deep learning approaches in
learning representations for graph-structured data. Despite the proliferation of such …

Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness

J Chen, S Hoops, A Marathe, H Mortveit, B Lewis… - MedRxiv, 2021 - medrxiv.org
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 …

Repbublik: Reducing polarized bubble radius with link insertions

S Haddadan, C Menghini, M Riondato… - Proceedings of the 14th …, 2021 - dl.acm.org
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 …

Tunable eigenvector-based centralities for multiplex and temporal networks

D Taylor, MA Porter, PJ Mucha - Multiscale Modeling & Simulation, 2021 - SIAM
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 …

Approximate high dimensional graph mining with matrix polar factorization: A Twitter application

G Drakopoulos, E Kafeza, P Mylonas… - … Conference on Big …, 2021 - ieeexplore.ieee.org
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 …

A stochastic algorithm based on reverse sampling technique to fight against the cyberbullying

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 …

Minimizing spectral radius of non-backtracking matrix by edge removal

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 …

Altruism design in networked public goods games

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 …

Rumors clarification with minimum credibility in social networks

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 …