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The compression ratio achieved by Burrows-Wheeler Transform have been compared against the compression achieved by gzip on human and mouse chromosomes.

Identifying the global terror hubs and vulnerable motifs using complex network dynamics

Published in Physica A: Statistical Mechanics and its Applications, 2019

We construct a complex network of global terrorism and study its growth dynamics, along with the statistical properties of the anti-social network. We use a disparity filter method to isolate backbone of the network, and identify the terror hubs and vulnerable motifs of global terrorism. We study the network resilience against targeted attacks and random failures, which could guide the counter-terrorist outfits in designing strategies to fight terrorism.

Recommended citation: Identifying the global terror hubs and vulnerable motifs using complex network dynamics, SS Husain, K Sharma, V Kukreti, A Chakraborti, Physica A: Statistical Mechanics and its Applications, 540, 123113,2019 https://www.sciencedirect.com/science/article/pii/S037843711931756X

A Perspective on Correlation-Based Financial Networks and Entropy Measures

Published in Physica A: Statistical Mechanics and its Applications, 2019

In this mini-review, we critically examine the recent work done on correlation-based networks in financial systems. The structure of empirical correlation matrices constructed from the financial market data changes as the individual stock prices fluctuate with time, showing interesting evolutionary patterns, especially during critical events such as market crashes, bubbles, etc. We show that the study of correlation-based networks and their evolution with time is useful for extracting important information of the underlying market dynamics. Also, we present our perspective on the use of recently-developed entropy measures, such as structural entropy and eigen-entropy, for continuous monitoring of correlation-based networks.

Recommended citation: A Perspective on Correlation-Based Financial Networks and Entropy Measures, V Kukreti, HK Pharasi, P Gupta, S Kumar, Frontiers in Physics, 323, 8,2020 https://www.frontiersin.org/articles/10.3389/fphy.2020.00323/full

talks

Philosophy of Science

Published: April 18, 2018

Philosophy of science is a subfield of philosophy concerned with the foundations, methods, and implications of science. The central questions of this study concern what qualifies as science, the reliability of scientific theories, and the ultimate purpose of science.

Intro to Graph Theory

Published: May 01, 2018

An introduction to Graph Theory was provided to students from different disciplines.

Terrorism - How does it affect us?

Published: July 27, 2018

We construct a complex network of global terrorism and study its growth dynamics, along with the statistical properties of the anti-social network.

Quantifying mesoscopic structure dynamics in stock market using eigenvector centrality and Sectoral entropy

Published: August 31, 2019

Structural entropy refers to the level of heterogeneity of nodes in the network, with the premise that nodes that share functionality or attributes are more connected than others. The correlation-based network of sectoral communities in a market change with time. We demonstrate that a novel entropy measure – eigen-entropy, computed from the eigen-centralities (ranks) of different stocks in the correlation-network, is able to extract information about the market disorder.

Data Science: Impact and Awareness

Published: June 01, 2020

I was approached by YUVA to presented an overview of Data Science and its impact to a general audience. Tried to keep it short and simple.

Vishwas Kukreti

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