92 citations · 612 across the 42 of their papers we have counts for
7 papers · 1 filter
ELRUNA: Elimination Rule-based Network Alignment
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu +3
Networks model a variety of complex phenomena across different domains. In many applications, one of the most essential tasks is to align two or more networks to infer the similari…
Centralities for Networks with Consumable Resources
Hayato Ushijima-Mwesigwa, Zadid Khan, Mashrur A. Chowdhury +1
Identification of influential nodes is an important step in understanding and controlling the dynamics of information, traffic and spreading processes in networks. As a result, a n…
Multiscale Planar Graph Generation
Varsha Chauhan, Alexander Gutfraind, Ilya Safro
The study of network representations of physical, biological, and social phenomena can help us better understand the structural and functional dynamics of their networks and formul…
Detecting and Summarizing Emergent Events in Microblogs and Social Media Streams by Dynamic Centralities
Neela Avudaiappan, Alexander Herzog, Sneha Kadam +3
Methods for detecting and summarizing emergent keywords have been extensively studied since social media and microblogging activities have started to play an important role in data…
Generating realistic scaled complex networks
Christian L. Staudt, Michael Hamann, Alexander Gutfraind +2
Research on generative models is a central project in the emerging field of network science, and it studies how statistical patterns found in real networks could be generated by fo…
Single- and Multi-level Network Sparsification by Algebraic Distance
Emmanuel John, Ilya Safro
Network sparsification methods play an important role in modern network analysis when fast estimation of computationally expensive properties (such as the diameter, centrality indi…