Natarajan Meghanathan

Natarajan Meghanathan

Jackson State University

H-index: 30

North America-United States

About Natarajan Meghanathan

Natarajan Meghanathan, With an exceptional h-index of 30 and a recent h-index of 17 (since 2020), a distinguished researcher at Jackson State University, specializes in the field of Wireless Ad hoc Networks, Sensor Networks, Network Science and Graph Theory, Cyber Security, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Assortativity analysis of complex real-world networks using the principal components of the centrality metrics

Exploratory Factory Analysis of the Centrality Metrics for Complex Real-World Networks

Principal Components and Assortativity-based Assessment of the Similarity of Crime Metrics across Coterminous Wards in the City of Chicago

Binary Search Approach for Largest Cascade Capacity of Complex Networks

Principal Components-Based Node Dissimilarity Index for Complex Network Analysis

A Web Application to Visualize the Marine Highway Routes in the US

Crime Hot Spots Detection with Network Science-enhanced Method in Major Cities of the US

Use of Neighborhood-Based Bridge Node Centrality Tuple for Preferential Vaccination of Nodes to Reduce the Number of Infected Nodes in a Complex Real-World Network

Natarajan Meghanathan Information

University

Position

Professor of Computer Science Jackson MS USA

Citations(all)

3359

Citations(since 2020)

1147

Cited By

2762

hIndex(all)

30

hIndex(since 2020)

17

i10Index(all)

91

i10Index(since 2020)

23

Email

University Profile Page

Jackson State University

Google Scholar

View Google Scholar Profile

Natarajan Meghanathan Skills & Research Interests

Wireless Ad hoc Networks

Sensor Networks

Network Science and Graph Theory

Cyber Security

Machine Learning

Top articles of Natarajan Meghanathan

Title

Journal

Author(s)

Publication Date

Assortativity analysis of complex real-world networks using the principal components of the centrality metrics

International Journal of Data Science

Natarajan Meghanathan

2024

Exploratory Factory Analysis of the Centrality Metrics for Complex Real-World Networks

arXiv preprint arXiv:2403.03525

Natarajan Meghanathan

2024/3/6

Principal Components and Assortativity-based Assessment of the Similarity of Crime Metrics across Coterminous Wards in the City of Chicago

Computer and Information Science

Natarajan Meghanathan

2024

Binary Search Approach for Largest Cascade Capacity of Complex Networks

Natarajan Meghanathan

2023

Principal Components-Based Node Dissimilarity Index for Complex Network Analysis

Natarajan Meghanathan

2023/4/12

A Web Application to Visualize the Marine Highway Routes in the US

Vivek Sunchu

Natarajan Meghanathan

2023/7/24

Crime Hot Spots Detection with Network Science-enhanced Method in Major Cities of the US

Yu Wu

Natarajan Meghanathan

2023/7/24

Use of Neighborhood-Based Bridge Node Centrality Tuple for Preferential Vaccination of Nodes to Reduce the Number of Infected Nodes in a Complex Real-World Network

Natarajan Meghanathan

Kapri Burden

Miah Robinson

2023/4/12

Network Science-Based Analysis of the US Marine Highway Network and a Random Graph Model for the Intermodal Port Network

Natarajan Meghanathan

2023/10/15

Core-Intermediate-Peripheral Index: Factor Analysis of Neighborhood and Shortest Paths-Based Centrality Metrics

Natarajan Meghanathan

2023/4/12

Check for updates A Neighborhood Overlap-Based Binary Search Algorithm for Edge Classification to Satisfy the Strong Triadic Closure Property in Complex

Artificial Intelligence Application in Networks and Systems: Proceedings of 12th Computer Science On-line Conference 2023, Volume 3

Natarajan Meghanathan

2023/7/8

Node Dissimilarity Index for Complex Network Analysis

arXiv preprint arXiv:2310.09504

Natarajan Meghanathan

2023/10/14

Complex Network Analysis of the US Marine Intermodal Port Network

Natarajan Meghanathan

Otto Ikome

Opeoluwa Williams

Carolyne Rutto

2023/4/3

A Principal Component Analysis-Based Scoring Mechanism to Quantify Crime Hot Spots in a City

Yu Wu

Natarajan Meghanathan

2023/4/24

Neighborhood-based Bridge Node Centrality Tuple for Preferential Vaccination of Nodes

arXiv preprint arXiv:2309.16197

Natarajan Meghanathan

2023/9/28

A Neighborhood Overlap-Based Binary Search Algorithm for Edge Classification to Satisfy the Strong Triadic Closure Property in Complex Networks

Natarajan Meghanathan

2023/4/3

Complex Network Analysis of the US Marine Highway Network

Natarajan Meghanathan

2023/4/24

Canonical Correlation Analysis of Neighborhood-based Centrality Metrics vs. Shortest Path-based Centrality Metrics

Natarajan Meghanathan

2023/7/24

A Network Science-Based Approach for Temporal Hot Spot Policing

Yu Wu

Natarajan Meghanathan

2022/10/10

Quantifying the Theory Vs. Programming Disparity Using Spectral Bipartivity Analysis and Principal Component Analysis

AIRCC's International Journal of Computer Science and Information Technology

Natarajan Meghanathan

2022/10/1

See List of Professors in Natarajan Meghanathan University(Jackson State University)