Greetings! You are welcome to my Academic Homepage.
Research Summary
My research interests include Data Mining, Graph Mining, Anomaly Detection, and Social Network Analysis. My research centers on the interplay between community detection, complex network analysis, and data mining. These interconnected fields are at the heart of my academic pursuits, where I explore their synergistic potential in unraveling the intricate structures and patterns within networks.
In the subsequent sections, I will delve into the finer nuances of my research, providing comprehensive insights into my methodologies, findings, and contributions to these domains. By examining the dynamics of communities, analyzing complex networks, social Network Analysis, and harnessing the power of data and graph mining. I aim to contribute to the advancement of knowledge and pave the way for practical applications in various domains.
Recent Scholar Recommendations
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Community Detection Community Detection in Directed Weighted Networks using Voronoi Partitioning (B. Molnár, I.-B. Márton, S. Horvát, M. Ercsey-Ravasz)
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Influence Identification Influential nodes identification in complex networks: a comprehensive literature review (K. A. Rai, M. Machkour, J. Antari)
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Information Spreading Revealing mechanisms of infectious disease spread through empirical contact networks (P. Sah, M. Otterstatter, S. T. Leu, S. Leviyang, S. Bansal)
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Link prediction Link Prediction on Complex Networks: An Experimental Survey (H. Wu, C. Song, Y. Ge, T. Ge)
Upcoming Event
- Apr 25, 2023 - Probability and Statistics For Everyone
- May 10, 2023 - Graphs for Data Science
- Jun 20, 2023 - Graphs for Data Science