Edge-Centric Network Analytics

Network analysis has evolved substantially, with notable advancements in node-centric and graph-centric tasks, yet the exploration of edge-centric analytics has been notably limited. This oversight is significant given the crucial role of edges in elucidating the complex relationships within networks, particularly in fields such as social network analysis, cybersecurity, and bioinformatics, where the dynamics of connections between entities are often pivotal. My doctoral research aims to address this gap by delving into the under-explored domain of edge-centric analytics, providing a foundational background that is crucial for advancing the field and enhancing the application of network theory in real-world scenarios. The significance of this research lies in its potential to open new avenues for inquiry and application across diverse disciplines where understanding the nuances of relational dynamics is essential.