◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

A. Das

4 papers hereh-index 262.8k citations209 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DM2
  • cs.CV1
  • math.ST1
same name
  • A. Das — 296 papers
  • A. Das — 167 papers, h 28
  • A. Das — 138 papers
  • A. Das — 108 papers, h 46
  • A. Das — 64 papers, h 20
  • A. Das — 62 papers, h 15

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122020
most citedModified Lomax Model: A heavy-tailed distribution for fitting large-scale real-world complex networks

1 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.DM2020

Sparsity of weighted networks: measures and applications

Swati Goswami, Asit K. Das, Subhas C. Nandy

A majority of real life networks are weighted and sparse. The present article aims at characterization of weighted networks based on sparsity, as a measure of inherent diversity, o…

math.ST2019★ 1 cited

Modified Lomax Model: A heavy-tailed distribution for fitting large-scale real-world complex networks

Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh +1

Real-world networks are generally claimed to be scale-free, meaning that the degree distributions follow the classical power-law, at least asymptotically. Yet, closer observation s…

cs.DM2016★ 1 cited

Sparsity Measure of a Network Graph: Gini Index

Swati Goswami, C. A. Murthy, Asit K. Das

This article examines the application of a popular measure of sparsity, Gini Index, on network graphs. A wide variety of network graphs happen to be sparse. But the index with whic…

cs.CV2012

Single Reduct Generation Based on Relative Indiscernibility of Rough Set Theory

Shampa Sengupta, Asit Kr. Das

In real world everything is an object which represents particular classes. Every object can be fully described by its attributes. Any real world dataset contains large number of at…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.