Abhijit Chakraborty
Abhijit Chakraborty
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Assistant Professor
Department of Humanities & Social Sciences
IISER Tirupati
Visiting Scientist, RIKEN iTHEMS, Japan
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Complex Systems | Network Science | Statistical Physics
Understanding complex systems through networks, data and statistical physics
Understanding complex systems through networks, data and statistical physics
I study complex systems using network science, statistical physics, and data-driven approaches. My research focuses on how interactions between individual components give rise to collective behavior, emergent structures, and large-scale patterns in complex systems.
My current research interests include financial and cryptocurrency networks, economic complexity, systemic risk, structural balance, and large-scale empirical networks. I combine network science, statistical mechanics, time-series analysis, Random Matrix Theory, and computational methods to investigate complex systems across different domains.
Research areas
Research areas
Financial networks
Understanding collective behavior, correlations, sectoral interactions, and systemic risk in financial markets.
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Cryptocurrency networks
Studying influence dynamics, functional networks, and the evolving structure of cryptocurrency markets.
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Economic Compexity
Investigating industrial capabilities, diversification, and regional economic development using network-based approaches.
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Structural Balance
Studying cooperation, conflict, polarization, and collective organization through signed networks and triadic interactions.
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Research at a Glance
Research at a Glance
I combine empirical data, statistical methods, network science, and computational modeling to understand collective behavior in complex systems
I combine empirical data, statistical methods, network science, and computational modeling to understand collective behavior in complex systems
EMPIRICAL DATA →
EMPIRICAL DATA →
Large-scale observations and real-world datasets
STATISTICAL ANALYSIS →
STATISTICAL ANALYSIS →
Statistical inference, time-series analysis and data-driven methods
NETWORK CONSTRUCTION → Representing interactions, relationships and dependencies as networks
NETWORK CONSTRUCTION → Representing interactions, relationships and dependencies as networks
NETWORK DYNAMICS
NETWORK DYNAMICS
Evolution of interactions, topology and collective organization
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EMERGENT BEHAVIOR
EMERGENT BEHAVIOR
Collective patterns, critical phenomena and systemic behavior
Current Research
Current Research
Financial Networks
Financial Networks
I investigate the evolution of interactions and collective organization in financial markets using correlation networks, signed networks, Random Matrix Theory, and structural balance.
Cryptocurrency Networks
Cryptocurrency Networks
I study cryptocurrency markets as evolving functional networks, using high-frequency data and time-series methods to investigate directional influence, network structure, and market dynamics.
Economic Complexity
Economic Complexity
I use firm-level data to construct state–industry networks and investigate the relationship between industrial capabilities, economic complexity, and regional economic development in India.
Selected Publications
Selected Publications
Sectoral inter-dependencies drive the loss of structural balance in signed financial networks
K Dahake, A Chakraborty
arXiv:2608.12023
Time-dependent weighted directed networks of cryptocurrency interaction from high-frequency returns
S Shukla, M Peyyala, A Chakraborty
Economic complexity and regional development in India: Insights from a state-industry bipartite network
JM Thomas, A Chakraborty
arXiv:2601.12356
Collaboration
Collaboration
I am interested in collaborations with researchers and students working on complex systems, network science, statistical physics, econophysics, financial networks, economic complexity, and data-driven modeling.
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