A comprehensive survey on community detection with deep learning
Detecting a community in a network is a matter of discerning the distinct features and
connections of a group of members that are different from those in other communities. The …
connections of a group of members that are different from those in other communities. The …
A survey of community detection approaches: From statistical modeling to deep learning
Community detection, a fundamental task for network analysis, aims to partition a network
into multiple sub-structures to help reveal their latent functions. Community detection has …
into multiple sub-structures to help reveal their latent functions. Community detection has …
[PDF][PDF] Understanding echo chambers and filter bubbles: The impact of social media on diversification and partisan shifts in news consumption.
Echo chambers and filter bubbles are potent metaphors that encapsulate widespread public
fear that the use of social media may limit the information that users encounter or consume …
fear that the use of social media may limit the information that users encounter or consume …
A comprehensive survey on trustworthy graph neural networks: Privacy, robustness, fairness, and explainability
Graph Neural Networks (GNNs) have made rapid developments in the recent years. Due to
their great ability in modeling graph-structured data, GNNs are vastly used in various …
their great ability in modeling graph-structured data, GNNs are vastly used in various …
[HTML][HTML] Statistical inference links data and theory in network science
The number of network science applications across many different fields has been rapidly
increasing. Surprisingly, the development of theory and domain-specific applications often …
increasing. Surprisingly, the development of theory and domain-specific applications often …
[图书][B] Are filter bubbles real?
A Bruns - 2019 - books.google.com
There has been much concern over the impact of partisan echo chambers and filter bubbles
on public debate. Is this concern justified, or is it distracting us from more serious issues …
on public debate. Is this concern justified, or is it distracting us from more serious issues …
On the role of community structure in evolution of opinion formation: A new bounded confidence opinion dynamics
Y Peng, Y Zhao, J Hu - Information Sciences, 2023 - Elsevier
The process of opinion formation and evolution is an important part of the study of opinion
dynamics. However, the existing opinion dynamics ignore the relationship between opinion …
dynamics. However, the existing opinion dynamics ignore the relationship between opinion …
Adversarial attacks on neural networks for graph data
Deep learning models for graphs have achieved strong performance for the task of node
classification. Despite their proliferation, currently there is no study of their robustness to …
classification. Despite their proliferation, currently there is no study of their robustness to …
Adversarial attacks on graph neural networks: Perturbations and their patterns
Deep learning models for graphs have achieved strong performance for the task of node
classification. Despite their proliferation, little is known about their robustness to adversarial …
classification. Despite their proliferation, little is known about their robustness to adversarial …
The echo chamber is overstated: the moderating effect of political interest and diverse media
In a high-choice media environment, there are fears that individuals will select media and
content that reinforce their existing beliefs and lead to segregation based on interest and/or …
content that reinforce their existing beliefs and lead to segregation based on interest and/or …