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Arnab Sarker

8 papers hereh-index 6520 citations24 works total

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

author position
  • first author4
  • middle author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.SI3
  • econ.EM1
  • eess.SY1
  • q-bio.PE1
  • q-fin.RM1
  • stat.ML1
same name
  • Arnab Sarker — 8 papers, h 5

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
20202025
most citedTwo Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?

7 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.SI2022

Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians

Xinyi Wu, Arnab Sarker, Ali Jadbabaie

Link partitioning is a popular approach in network science used for discovering overlapping communities by identifying clusters of strongly connected links. Current link partitioni…

cs.SI2022

Generalizing Homophily to Simplicial Complexes

Arnab Sarker, Natalie Northrup, Ali Jadbabaie

Group interactions occur frequently in social settings, yet their properties beyond pairwise relationships in network models remain unexplored. In this work, we study homophily, th…

q-bio.PE2022

Current Implicit Policies May Not Eradicate COVID-19

Ali Jadbabaie, Arnab Sarker, Devavrat Shah

Successful predictive modeling of epidemics requires an understanding of the implicit feedback control strategies which are implemented by populations to modulate the spread of con…

stat.ML2022

Unifying Epidemic Models with Mixtures

Arnab Sarker, Ali Jadbabaie, Devavrat Shah

The COVID-19 pandemic has emphasized the need for a robust understanding of epidemic models. Current models of epidemics are classified as either mechanistic or non-mechanistic: me…

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