1 citations · 1 across the 16 of their papers we have counts for
16 papers
Synergies, Trade-offs, and Structural Pathways: A Directed Network Approach to SDG Prioritisation
Gaurav Kottari, Niteesh Sahni
To successfully implement the Sustainable Development Goals (SDGs), it is necessary to understand the process by which the achievement of one goal has a spillover effect in a devel…
A Network-Based Framework to Identify Synergies and Trade offs among SDG Indicators
Gaurav Kottari, Qazi J. Azhad, Niteesh Sahni
Achieving the United Nations Sustainable Development Goals (SDGs) requires an understanding of the complex interlinkages that exist among their underlying indicators. While most ex…
A generic network theoretic based model to classify SDG indicators
Gaurav Kottari, Qazi J. Azhad, Niteesh Sahni
To achieve the United Nations Sustainable Development Goals, coordinated action across their interlinked indicators is required. Although most of the research on the interlinkages…
Structural Characterisations of (n-1,n)-Trees
Gaurav Kottari, Niteesh Sahni
We study higher-dimensional analogues of graph-theoretic trees within the class of pure n-simplicial complexes. Focusing on the case m = n-1 in Dewdney's (m, n)-tree framework, we…
Analyzing Communicability and Connectivity in the Indian Stock Market During Crises
Pawanesh Pawanesh, Charu Sharma, Niteesh Sahni
Understanding how information flows through the financial networks is important, especially during times of market turbulence. Unlike traditional assumptions where information trav…
Identifying Core-Periphery Structures in Networks via Artificial Ants
Imran Ansari, Qazi J Azhad, Niteesh Sahni
Core periphery structure represents a meso-scale structure in networks, characterized by a dense interconnection of core nodes and sparse connections among peripheral nodes. In thi…
Exploring the core-periphery and community structure in the financial networks through random matrix theory
Pawanesh, Imran Ansari, Niteesh Sahni
In finance, Random Matrix Theory (RMT) is an important tool for filtering out noise from large datasets, revealing true correlations among stocks, enhancing risk management and por…
Uncovering the hidden core-periphery structure in hyperbolic networks
Imran Ansari, Pawanesh Yadav, Niteesh Sahni
The hyperbolic network models exhibit very fundamental and essential features, like small-worldness, scale-freeness, high-clustering coefficient, and community structure. In this p…
A novel portfolio construction strategy based on the core-periphery profile of stocks
Imran Ansari, Charu Sharma, Akshay Agrawal +1
This paper highlights the significance of mesoscale structures, particularly the core-periphery structure, in financial networks for portfolio optimization. We build portfolios of…
Exploiting the geometry of heterogeneous networks: A case study of the Indian stock market
Pawanesh Pawanesh, Charu Sharma, Niteesh Sahni
In this study, we model the Indian stock market as heterogenous scale free network, which is then embedded in a two dimensional hyperbolic space through a machine learning based te…
Helson-Lowdenslager and de Branges type theorems in the setting of continuous rotationally symmetric norms
Apoorva Singh, Niteesh Sahni
A Helson-Lowdenslager type result has been proved by Chen in the context of Lebesgue spaces of the unit circle equipped with a continuous rotationally symmetric norm by studying th…
Multiplication by finite Blaschke factors on a general class of Hardy spaces
Apoorva Singh, Niteesh Sahni
A broader class of Hardy spaces and Lebesgue spaces have been introduced recently on the unit circle by considering continuous -dominating normalized gauge norms instead o…
Network Learning Approaches to study World Happiness
Siddharth Dixit, Meghna Chaudhary, Niteesh Sahni
The United Nations in its 2011 resolution declared the pursuit of happiness a fundamental human goal and proposed public and economic policies centered around happiness. In this pa…
Invariance Under Bounded Analytic Functions
Ajay Kumar, Niteesh Sahni, Dinesh Singh
In a recent paper, M. Raghupathi has extended the famous theorem of Beurling to the context of subspaces that are invariant under the class of subalgebras of of the form…
Sub-Hardy Hilbert spaces on the circle and torus
Ajay Kumar, Niteesh Sahni, Dinesh Singh
Sahni and Singh settled a problem posed by Yousefi & Hesameddini by generalizing their main result with a simple proof in the setting of sub-Hilbert spaces in . In this pap…
Lax-Halmos Type Theorems in H^p Spaces
Niteesh Sahni, Dinesh Singh
In this paper we characterize for 0 < p \leq \infty, the closed subspaces of Hp that are invariant under multiplication by all powers of a finite Blaschke factor B, except the firs…