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E-grāmata: Computational Data and Social Networks: 10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, Proceedings

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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13116
  • Izdošanas datums: 03-Dec-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030914349
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Computational Data and Social Networks: 10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, ProceedingsPalielināt
  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13116
  • Izdošanas datums: 03-Dec-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030914349
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This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks.





 
Combinatorial Optimization and Learning.- Streaming algorithms for
maximizing non-submodular functions on the integer lattice.- Causal Inference
for Influence Propagation --- Identifiability of the In-dependent Cascade
Model.- Streaming algorithms for Budgeted $k$-Submodular Maximization
problem.- Approximation algorithms for the lower bounded correlation
clustering problem.- Approximation Algorithm for Maximizing Nonnegative
Weakly Mono-tonic Set Functions.- Differentially Private Submodular
Maximization over Integer Lattice.- Maximizing the sum of a supermodular
function and a monotone DR-submodular function subject to a knapsack
constraint on the integer lattice.- Deep Learning and Applications to Complex
and Social Systems.- A Framework for Accelerating Graph Convolution Networks
on Massive Datasets.- AdvEdge: Optimizing Adversarial Perturbations against
Interpretable Deep Learning.- Incorporating Transformer Models for Sentiment
Analysis and News Classification in Khmer.- Deep Bangla Authorship
Attribution using Transformer Models.- A Deep Learning Based Traffic Sign
Detection for Intelligent Transportation Systems.- Detecting Hate Speech
Contents Using Embedding Models.- MIC Model for Cervical Cancer Risk Factors
Deep Association Analysis.- Power Grid Cascading Failure Prediction Based on
Transforme.- Measurements of Insight from Data.- Security Breaches in the
Healthcare Domain: A Spatiotemporal Analysis.- Social and Motivational
Factors for the Spread of Physical Activities in a Health Social Network.-
Understanding the Issues Surrounding COVID-19 Vaccine Roll Out Via User
Tweets.- Complex Networks Analytics.- Minimize Travel Time with Traffic Flow
Density Equilibrium on Road Network.- Network based Framework to Compare
Vaccination Strategies.- Groups Influence with Minimum Cost in Social
Network.- Recovering communities in temporal networks using persistent
edges.- Community Detection using Semilocal Topological Features andLabel
Propagation Algorithm.- Twitter Analysis of Covid-19 Misinformation in
Spain.- Comparing Community-aware Centrality Measures in Online Social
Networks.- Two-Tier Cache-Aided Full-Duplex Content Delivery in
Satellite-Terrestrial Networks.- Special Track: Fact-Checking, Fake News and
Malware Detection in Online Social Networks.- Mean User-Text Agglomeration
(MUTA): Practical User Representation and Visualization for Detection of
Online Influence Operations.- The Role of Information Organization and
Knowledge Structuring in Combatting Misinformation: A Literary Analysis.-
Fake News Detection using LDA Topic Modelling and K-Nearest Neighbor
Classifier.- Special Track: Information Spread in Social and Data Networks.-
Summarization Algorithms for News: a Study of the Coronavirus Theme and its
Impact on the News Extracting Algorithm.- Social cohesion during stay-at-home
phase during the first wave of COVID-19 in Poland.- Influence and Activation
Thresholds Target Set Selection within Community Structure.
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