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020 _a9783030349806
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024 7 _a10.1007/978-3-030-34980-6
_2doi
050 4 _aQA76.76.A65
072 7 _aUB
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072 7 _aCOM005000
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072 7 _aUX
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082 0 4 _a005.3
_223
245 1 0 _aComputational Data and Social Networks
_h[electronic resource] :
_b8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18–20, 2019, Proceedings /
_cedited by Andrea Tagarelli, Hanghang Tong.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXIV, 372 p. 147 illus., 68 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v11917
505 0 _aCombinatorial 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. .
520 _aThis 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.
650 0 _aApplication software.
650 0 _aSocial sciences
_xData processing.
650 0 _aArtificial intelligence.
650 0 _aData protection.
650 0 _aComputers and civilization.
650 1 4 _aComputer and Information Systems Applications.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
650 2 4 _aArtificial Intelligence.
650 2 4 _aData and Information Security.
650 2 4 _aComputers and Society.
700 1 _aTagarelli, Andrea.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTong, Hanghang.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030349813
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v11917
856 4 0 _uhttps://doi.org/10.1007/978-3-030-34980-6
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