Information extraction from digital social trace data with applications to social media and scholarly communication data

S Mishra - ACM SIGWEB Newsletter, 2021 - dl.acm.org
Shubhanshu is a Machine Learning Researcher at Twitter working on the Content
Understanding Research team. He finished his Ph. D. at the iSchool, University of Illinois at …

" Gettr-ing" Deep Insights from the Social Network Gettr

F Sharevski, P Jachim, E Pieroni, A Devine - arxiv preprint arxiv …, 2022 - arxiv.org
As yet another alternative social network, Gettr positions itself as the" marketplace of ideas"
where users should expect the truth to emerge without any administrative censorship. We …

CoVerD: Community-Based Vertex Defense Against Crawling Adversaries

P Hozhabrierdi, S Soundarajan - … Networks & Their Applications X: Volume …, 2022 - Springer
The problem of hiding a node inside of a network in the presence of an unauthorized crawler
has been shown to be NP-complete. The available heuristics tackle this problem from mainly …

[HTML][HTML] Effectiveness of the execution and prevention of metric-based adversarial attacks on social network data

NN Parulian, T Lu, S Mishra, M Avram, J Diesner - Information, 2020 - mdpi.com
Observed social networks are often considered as proxies for underlying social networks.
The analysis of observed networks oftentimes involves the identification of influential nodes …

Protection against Contagion in Complex Networks

P Hozhabrierdi - 2022 - search.proquest.com
In real-world complex networks, harmful spreads, commonly known as contagions, are
common and can potentially lead to catastrophic events if uncontrolled. Some examples …

[PDF][PDF] łGettr-ingž Deep Insights from the Social Network Gettr

F Sharevski, P Jachim, E Pieroni, A Devine - academia.edu
As yet another alternative social network, Gettr positions itself as the łmarketplace of ideasž
where users should expect the truth to emerge without any administrative censorship. We …