2 citations · 6 across the 5 of their papers we have counts for
5 papers
CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization
Inder Khatri, Aaryan Gupta, Arjun Choudhry +3
Social networks have enabled user-specific advertisements and recommendations on their platforms, which puts a significant focus on Influence Maximisation (IM) for target advertisi…
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning
Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry +3
Recent works on fake news detection have shown the efficacy of using emotions as a feature for improved performance. However, the cross-domain impact of emotion-guided features for…
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation
Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty +2
Recent works on fake news detection have shown the efficacy of using emotions as a feature or emotions-based features for improved performance. However, the impact of these emotion…
Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy
Inder Khatri, Arjun Choudhry, Aryaman Rao +3
Influence Maximization (IM) is the task of determining k optimal influential nodes in a social network to maximize the influence spread using a propagation model. IM is a prominent…
A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes
Aaryan Gupta, Inder Khatri, Arjun Choudhry +3
In recent years, social networking platforms have gained significant popularity among the masses like connecting with people and propagating ones thoughts and opinions. This has op…