Computational Data and Social Networks

8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18–20, 2019, Proceedings

AvAndrea Tagarelli,Hanghang Tong

Häftad, Engelska, 2019

Del 11917 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the refereed proceedings of the 8th International Conference on Computational Data and Social Networks, CSoNet 2019, held in Ho Chi Minh City, Vietnam, in November 2019.The 22 full and 8 short papers presented in this book were carefully reviewed and selected from 120 submissions. The papers appear under the following topical headings: Combinatorial Optimization and Learning; Inﬂuence Modeling, Propagation, and Maximization; NLP and Aﬀective Computing; Computational Methods for Social Good; and User Proﬁling and Behavior Modeling.

Produktinformation

Utgivningsdatum:2019-11-12
Mått:155 x 235 x 21 mm
Vikt:587 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:372
Förlag:Springer Nature Switzerland AG
ISBN:9783030349790

Utforska kategorier

Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

Combinatorial Optimization and Learning.- A Probabilistic Divide and Conquer Algorithm for the Minimum Tollbooth Problem.- Distributed Core Decomposition in Probabilistic Graphs.- Sampled Fictitious Play on Networks.- Outlier Detection Forest for Large-scale Categorical Data Sets.- Neural Networks with Multidimensional Cross-Entropy Loss Functions.- A RVND+ILS metaheuristic to Solve the Delivery Man Problem with Time Windows.- Star2vec: from subspace embedding to whole-space embedding for intelligent recommendation system (Extended Abstract).- Approximation algorithm for the squared metric soft capacitated facility location problem (Extended Abstract).- An Eﬃcient Algorithm for the k-Dominating Set Problem on Very Large-Scale Networks (Extended Abstract).- Strategy-proof cost-sharing mechanism design for a generalized cover-sets problem (Extended Abstract).- Inﬂuence Modeling, Propagation, and Maximization.- Hybrid Centrality Measures for Service Coverage Problem.-Hop-based Sketch for Large-scale Inﬂuence Analysis.- Proﬁt Maximization under Group Inﬂuence Model in Social Networks.- Importance Sample-based Approximation Algorithm for Cost-aware Targeted Viral Marketing.- Location-Based Competitive Inﬂuence Maximization in Social Networks.- Cascade of Edge Activation in Networks.- Reinforcement Learning in Information Cascades Based on Dynamic User Behavior.- Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering.- Who Watches What: forecasting viewership for the top 100 TV networks.- NLP and Aﬀective Computing.- PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis.- One-document Training For Vietnamese Sentiment Analysis.- Assessing the readability of Vietnamese texts through comparison.- Learning Representations for Vietnamese Sentence Classiﬁcation (Extended Abstract).- Exploring Machine Translation on the Chinese-Vietnamese Language Pair.- Computational Methods for Social Good.- Towards an Aspect-based Ranking Model for Clinical Trial Search.- Scalable Self-Taught Deep-embedded Learning Framework for Drug Abuse Spatial Behaviors Detection.- Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention.- Online Community Conﬂict Decomposition with Pseudo Spatial Permutation.- Attribute-Enhanced De-anonymization of Online Social Networks.- Subgraph-based Adversarial Examples Against Graph-based IoT Malware Detection Systems.- Incorporating Content beyond Text: A High Reliable Twitter-based Disaster Information System.- Reduced-Bias Co-Trained Ensembles for Weakly Supervised Cyberbullying Detection.- A Novel Privacy-Preserving Socio-Technical Platform for Detecting Cyber Abuse (Extended Abstract).- Projection-based Coverage Algorithms in 3D Camera Sensor Networks for Indoor Objective Tracking.- User Proﬁling and Behavior Modeling.- Enhancing Collaborative Filtering with Multi-label Classiﬁcation.- Link Prediction on Dynamic Heterogeneous Information Networks.- Information Network Cascading and Network Re-construction with Bounded Rational User Behaviors.- Gender Prediction through Synthetic Resampling of User Proﬁles using SeqGANs.

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