Aerospace integrated networks innovation for empowering 6G: A survey and future challenges

D Zhou, M Sheng, J Li, Z Han - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
The ever-increasing demand for ubiquitous and differentiated services at anytime and
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …

Survey of review spam detection using machine learning techniques

M Crawford, TM Khoshgoftaar, JD Prusa, AN Richter… - Journal of Big Data, 2015 - Springer
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 …

Fast approximation of betweenness centrality through sampling

M Riondato, EM Kornaropoulos - … of the 7th ACM international conference …, 2014 - dl.acm.org
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 …

Recent advances in fully dynamic graph algorithms–a quick reference guide

K Hanauer, M Henzinger, C Schulz - ACM Journal of Experimental …, 2022 - dl.acm.org
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 …

Abra: Approximating betweenness centrality in static and dynamic graphs with rademacher averages

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 …

A survey of big data dimensions vs social networks analysis

M Ianni, E Masciari, G Sperlí - Journal of Intelligent Information Systems, 2021 - Springer
The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of
heterogeneous data. Thus, traditional approaches quickly became unpractical for real life …

Graph neural networks for fast node ranking approximation

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 …

Deception detection on social media: A source-based perspective

KA Qureshi, RAS Malick, M Sabih, H Cherifi - Knowledge-Based Systems, 2022 - Elsevier
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 …

Data flow and distributed deep neural network based low latency IoT-edge computation model for big data environment

S Sankaranarayanan, JJPC Rodrigues… - … Applications of Artificial …, 2020 - Elsevier
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 …

C+ L-band upgrade strategies to sustain traffic growth in optical backbone networks

T Ahmed, A Mitra, S Rahman… - Journal of Optical …, 2021 - ieeexplore.ieee.org
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 …