Maintenance of Structural Hole Spanners in Dynamic Networks
Diksha Goel, Hong Shen, Hui Tian, and Mingyu Guo

TL;DR
This paper addresses the challenge of maintaining Structural Hole spanners in dynamic networks by proposing an efficient update method that significantly reduces recomputation time compared to static approaches.
Contribution
It introduces the first method for updating SH spanners in dynamic networks, reusing previous computations to improve efficiency.
Findings
Achieves a minimum speedup of 3.24 over recomputation.
First approach to maintaining SH spanners in dynamic networks.
Demonstrates effectiveness through experimental results.
Abstract
Structural Hole (SH) spanners are the set of users who bridge different groups of users and are vital in numerous applications. Despite their importance, existing work for identifying SH spanners focuses only on static networks. However, real-world networks are highly dynamic where the underlying structure of the network evolves continuously. Consequently, we study SH spanner problem for dynamic networks. We propose an efficient solution for updating SH spanners in dynamic networks. Our solution reuses the information obtained during the initial runs of the static algorithm and avoids the recomputations for the nodes unaffected by the updates. Experimental results show that the proposed solution achieves a minimum speedup of 3.24 over recomputation. To the best of our knowledge, this is the first attempt to address the problem of maintaining SH spanners in dynamic networks.
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