Online reviews are often the primary factor in a customer's decision to purchase a product or service, and are a valuable source of information that can be used to determine public …
Betweenness centrality is a fundamental measure in social network analysis, expressing the importance or influence of individual vertices in a network in terms of the fraction of shortest …
In recent years, significant advances have been made in the design and analysis of fully dynamic algorithms. However, these theoretical results have received very little attention …
M Riondato, E Upfal - ACM Transactions on Knowledge Discovery from …, 2018 - dl.acm.org
ABPA Ξ A Σ (ABRAXAS): Gnostic word of mystic meaning. We present ABRA, a suite of algorithms to compute and maintain probabilistically guaranteed high-quality …
The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of heterogeneous data. Thus, traditional approaches quickly became unpractical for real life …
SK Maurya, X Liu, T Murata - … on Knowledge Discovery from Data (TKDD …, 2021 - dl.acm.org
Graphs arise naturally in numerous situations, including social graphs, transportation graphs, web graphs, protein graphs, etc. One of the important problems in these settings is …
Fast, open, free, and accessible, online social networks are massively used to share news and various information. Unfortunately, their explosive growth amplifies the dissemination of …
The trillion-fold increase in computing power brings the accessibility of deep learning to everyone. Deep learning offers precise information almost all the time when compared to …
We investigate cost-efficient upgrade strategies for capacity enhancement in optical backbone networks enabled by C+ L-band optical line systems. A multi-period strategy for …