This month's spotlight features two papers co-authored by CNI Fellow Tejashree S., recently accepted for publication, and a paper co-authored by CNI Faculty member Prof. Chandramani Singh, published in the IEEE Transactions on Networking journal.

The Triangle Friendship Paradox

Bishakh Bhattacharya, Nitya Gadhiwala, Frank den Hollander, Pradeeptha R Jain, Tejashree Subramanya · Sankhya A

The study explores the friendship paradox for triangles in networks, groups of three mutually connected vertices. Unlike traditional versions of the paradox, the resulting friendship bias is not always positive; the paper shows both graph classes where the paradox holds and examples where it does not. Further, the work also studies triangle friendship bias for classes of sparse and dense random graphs as the number of vertices tends to infinity.

Diagnostic Accuracy of Artificial Intelligence-Enabled Screening for Oral Cancer: A Systematic Review and Meta-analysis

Dahy Sulaiman, Tejashree Subramanya, Anushka Amble, Sumirtha Gandhi, Debnath Pal · BMC Head & Face Medicine

Can AI help detect oral cancer earlier? Reviewing 27 studies, the research finds that AI-enabled screening systems achieve pooled sensitivity and specificity of 91%, highlighting their potential to support early detection and clinical decision-making.

Fresh Caching of Dynamic Contents Using Restless Multi-Armed Bandits Over Wireless Access

Ankita Koley, Chandramani Singh · IEEE Transactions on Networking

The paper addresses the challenge of keeping dynamic content fresh at wireless edge caches, while balancing the costs of fetching, serving, and denying requests. The authors formulate the problem using restless multi-armed bandits and develop a Whittle index-based policy to determine when content should be fetched or served from the cache. Numerical results show that the proposed approach substantially outperforms existing methods and performs close to the optimal policy.