Abhijit Chakraborty

About

Abhijit Chakraborty is an Assistant Professor at the Indian Institutes of Science Education and Research Tirupati.

Abhijit’s research interests are complex networks, large-scale economic networks and statistical physics.

Employment

• Indian Institute of Science Education and Research, Tirupati Assistant Professor
  2024 - Present
• Kyoto University Specially Appointed Assistant Professor
  2021 - 2024
• Complexity Science Hub Vienna Postdoc
  2020 - 2021
• International Institute for Applied Systems Analysis Postdoc
  2020 - 2021
• University of Hyogo Postdoc
  2016 - 2020
• Institute of Mathematical Sciences Postdoc
  2014 - 2016

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (30)

• Inequality in economic shock exposures across the global firm-level supply network
  Nature Communications 2024 DOI: 10.1038/s41467-024-46126-w
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• Projecting XRP price burst by correlation tensor spectra of transaction networks
  Scientific Reports 2023 DOI: 10.1038/s41598-023-31881-5
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• Aggregation of self-propelled particles with sensitivity to local order
  Physical Review E 2022 DOI: 10.1103/physreve.105.044124
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• Is Firm-Level International Trade More Pronounced at the Inter-industry or Intra-industry Level?
  Big Data Analysis on Global Community Formation and Isolation 2021 DOI: 10.1007/978-981-15-4944-1_2
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• Testing “efficient supply chain propositions” using topological characterization of the global supply chain network
  PLOS ONE 2020 DOI: 10.1371/journal.pone.0239669
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• A model of the indirect losses from negative shocks in production and finance
  PLOS ONE 2020 DOI: 10.1371/journal.pone.0239293
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• Uncovering Hierarchical Structure of International FOREX Market by Using Similarity Metric between Fluctuation Distributions of Currencies
  Acta Physica Polonica A 2020 DOI: 10.12693/aphyspola.138.105
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• Analyzing Covid-19 Data using SIRD Models
  [] 2020 DOI: 10.1101/2020.05.28.20115527
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• A structured open dataset of government interventions in response to COVID-19
  2020 DOI: 10.6084/M9.FIGSHARE.12668792
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• A structured open dataset of government interventions in response to COVID-19
  Scientific Data 2020 DOI: 10.1038/s41597-020-00609-9
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