A restricted black-box adversarial framework towards attacking graph embedding models
With the great success of graph embedding model on both academic and industry area, the
robustness of graph embedding against adversarial attack inevitably becomes a central …
robustness of graph embedding against adversarial attack inevitably becomes a central …
A multi-feature diffusion model: Rumor blocking in social networks
Online social networks provide a convenient platform for the spread of rumors, which could
lead to serious aftermaths such as economic losses and public panic. The classical rumor …
lead to serious aftermaths such as economic losses and public panic. The classical rumor …
[PDF][PDF] The role of age distribution and family structure on covid-19 dynamics: A preliminary modeling assessment for hubei and lombardy
Background: The COVID-19 outbreak has already caused significant mortality worldwide. As
the epidemic accelerates, understanding the transmission dynamics of COVID-19 is crucial …
the epidemic accelerates, understanding the transmission dynamics of COVID-19 is crucial …
Combinatorial trace method for network immunization
Immunizing a subset of nodes in a network-enabling them to identify and withstand the
spread of harmful content-is one of the most effective ways to counter the spread of …
spread of harmful content-is one of the most effective ways to counter the spread of …
Boosting node activity by recommendations in social networks
W Yang, S Chen, S Gao, R Yan - Journal of Combinatorial Optimization, 2020 - Springer
In a social network, the propagation of information has sparked intense research. Influence
Maximization (IM) is a well-studied problem that asks for k nodes to influence the largest …
Maximization (IM) is a well-studied problem that asks for k nodes to influence the largest …
Inducing equilibria in networked public goods games through network structure modification
D Kempe, S Yu, Y Vorobeychik - arXiv preprint arXiv:2002.10627, 2020 - arxiv.org
Networked public goods games model scenarios in which self-interested agents decide
whether or how much to invest in an action that benefits not only themselves, but also their …
whether or how much to invest in an action that benefits not only themselves, but also their …
On the information unfairness of social networks
Social networks play a vital role in the spread of information through a population, and
individuals in networks make important life decisions on the basis of the information to which …
individuals in networks make important life decisions on the basis of the information to which …
[PDF][PDF] Designing effective and practical interventions to contain epidemics
Vaccination is a standard public health intervention for controlling the spread of epidemics.
However, the supply of vaccines is typically limited, and therefore, their deployment needs to …
However, the supply of vaccines is typically limited, and therefore, their deployment needs to …
Adaptive diffusion of sensitive information in online social networks
The cascading of sensitive information such as private contents and rumors is a severe
issue in online social networks. One approach for limiting the cascading of sensitive …
issue in online social networks. One approach for limiting the cascading of sensitive …
Approximate algorithms for data-driven influence limitation
Online social networks have become major battlegrounds for political campaigns, viral
marketing, and the dissemination of news. As a consequence,“bad actors” are increasingly …
marketing, and the dissemination of news. As a consequence,“bad actors” are increasingly …