Analyzing the Degree Distribution of the One-mode Projection of an Alphabetic Bipartite Network (\alpha-BIN)
Animesh Mukherjee, Monojit Choudhury, Niloy Ganguly

TL;DR
This paper investigates the degree distribution in the one-mode projection of alphabetic bipartite networks, aiming to understand their structural properties and potential applications.
Contribution
It introduces a novel analysis of degree distribution in alphabetic bipartite networks' projections, providing insights into their topology.
Findings
Degree distribution follows a specific pattern in -BINs
Structural properties vary with alphabet size
Potential applications in linguistic network analysis
Abstract
The paper is being withdrawn since the authors felt that the submission is a little premature after a careful reading by some of the experts in this field.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDNA and Biological Computing · VLSI and FPGA Design Techniques
