Research Papers and Articles Records

This is a record of the research papers that I randomly or sometimes not so randomly come across in my quest to find some answers. As I am mostly inclined towards the study of Data Sciences, Dynamical systems and Network theory, most of my papers would be relating to them. I am also interested in the study of systems on non-flat metric, which is mostly worked out in General Relativity.

Machine Learning

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

Machine Learning in Materials Science: Recent Progress and Emerging Applications

Constructing socio-economic status indices: how to use principal components analysis

Using an asset index to assess trends in poverty in seven Sub-Saharan African countries

Issues in the construction of wealth indices for the measurement of socio-economic position in low-income countries

Compressed Convolutional LSTM: An Efficient Deep Learning Framework to Model High Fidelity 3D Turbulence

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

Network and Graph Theory

From time series to complex networks: the visibility graph

Collective dynamics of ‘small-world’ networks

The Revolutionary paper from by Watts & Strogatz about the small world phenomenon in real world networks. The Small world phenomenon here is characterized by two parameters, Clustering Coefficient and characteristic path length. Most small world networks exhibit the high local clustering like regular networks and small characteristic path length like random networks.

Communities in Networks

Complex Networks Analysis of Language Complexity

This paper talks about constructing Complex networks from text data with respect to their order of appearance in a sentence in a given text. The different metric from the networks are then used to classify the complexity of the text / Language. (A look into this from the algebraic topological measures from Cliques might have a better insight than the metrics used here in this paper).

Fast unfolding of communities in large networks

Finding and evaluating community structure in networks

Unwinding the hairball graph: Pruning algorithms for weighted complex networks

Networks in Finance

Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers

Recurrence networks – A novel paradigm for nonlinear time series analysis

The backbone of the climate network

The dynamics of meaningful social interactions and the emergence of collective knowledge

What do Networks have to do with Climate?

General Relativity

An Approach to Stability Analyses in General Relativity via Symplectic Geometry

Last Update: 25 Sept 2019