Minimizing influence of rumors by blockers on social networks: algorithms and analysis

R Yan, D Li, W Wu, DZ Du… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Online social networks, such as Facebook, Twitter, and Wechat have become major social
tools. The users can not only keep in touch with family and friends, but also send and share …

Rumor blocking through online link deletion on social networks

R Yan, Y Li, W Wu, D Li, Y Wang - ACM Transactions on Knowledge …, 2019 - dl.acm.org
In recent years, social networks have become important platforms for people to disseminate
information. However, we need to take effective measures such as blocking a set of links to …

Targeted protection maximization in social networks

J Guo, Y Li, W Wu - IEEE Transactions on Network Science …, 2019 - ieeexplore.ieee.org
Even though the widespread use of social platforms provides convenience to our daily life, it
causes some bad results at the same time. For example, misinformation and personal attack …

Fighting opinion control in social networks via link recommendation

V Amelkin, AK Singh - Proceedings of the 25th ACM SIGKDD …, 2019 - dl.acm.org
The process of opinion formation is inherently a network process, with user opinions in a
social network being driven to a certain average opinion. One simple and intuitive …

Adaptive influence blocking: Minimizing the negative spread by observation-based policies

Q Shi, C Wang, D Ye, J Chen, Y Feng… - 2019 IEEE 35th …, 2019 - ieeexplore.ieee.org
Spread of negative influence (N-Inf) in a networked system seems to be inevitable, eg,
epidemic spread in human networks, rumors in an online social network and computer virus …

Marginal gains to maximize content spread in social networks

W Yang, J Ma, Y Li, R Yan, J Yuan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The growing importance of social network for sharing and spreading various contents is
leading to the changes in the way of information diffusion. To what extent can social content …

Blocking self-avoiding walks stops cyber-epidemics: a scalable gpu-based approach

HT Nguyen, A Cano, T Vu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Cyber-epidemics, the widespread of fake news or propaganda through social media, can
cause devastating economic and political consequences. A common countermeasure …

K-core minimization: A game theoretic approach

S Medya, T Ma, A Silva, A Singh - arXiv preprint arXiv:1901.02166, 2019 - arxiv.org
K-cores are maximal induced subgraphs where all vertices have degree at least k. These
dense patterns have applications in community detection, network visualization and protein …

Influence minimization under budget and matroid constraints: Extended version

S Medya, A Silva, A Singh - arXiv preprint arXiv:1901.02156, 2019 - arxiv.org
Recently, online social networks have become major battlegrounds for political campaigns,
viral marketing, and the dissemination of news. As a consequence,''bad actors''are …

Conquering the worst case of infections in networks

W Yan, PL Loh, C Li, Y Huang, L Yang - IEEE Access, 2019 - ieeexplore.ieee.org
We develop algorithms to control the scope of an infection spread on a network by allocating
a fixed immunization budget to edges of the graph. We assume that the infection propagates …