LEADER 06390nam 22006855 450 001 996466433503316 005 20230223010212.0 010 $a3-030-34980-2 024 7 $a10.1007/978-3-030-34980-6 035 $a(CKB)4100000009844767 035 $a(DE-He213)978-3-030-34980-6 035 $a(MiAaPQ)EBC5976213 035 $a(PPN)255160534 035 $a(EXLCZ)994100000009844767 100 $a20191111d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Data and Social Networks$b[electronic resource] $e8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18?20, 2019, Proceedings /$fedited by Andrea Tagarelli, Hanghang Tong 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XIV, 372 p. 147 illus., 68 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11917 311 $a3-030-34979-9 320 $aIncludes bibliographical references and index. 327 $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 E?cient 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) -- In?uence Modeling, Propagation, and Maximization -- Hybrid Centrality Measures for Service Coverage Problem -- Hop-based Sketch for Large-scale In?uence Analysis -- Pro?t Maximization under Group In?uence Model in Social Networks -- Importance Sample-based Approximation Algorithm for Cost-aware Targeted Viral Marketing -- Location-Based Competitive In?uence 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 A?ective 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 Classi?cation (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 Con?ict 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 Pro?ling and Behavior Modeling -- Enhancing Collaborative Filtering with Multi-label Classi?cation -- 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 Pro?les using SeqGANs. . 330 $aThis book constitutes the refereed proceedings of the 8th International Conference on Computational Data and Social Networks, CSoNet 2019, held in Ho Chi Minh City, Vietnam, in November 2019. The 22 full and 8 short papers presented in this book were carefully reviewed and selected from 120 submissions. The papers appear under the following topical headings: Combinatorial Optimization and Learning; In?uence Modeling, Propagation, and Maximization; NLP and A?ective Computing; Computational Methods for Social Good; and User Pro?ling and Behavior Modeling. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11917 606 $aApplication software 606 $aSocial sciences?Data processing 606 $aArtificial intelligence 606 $aData protection 606 $aComputers and civilization 606 $aComputer and Information Systems Applications 606 $aComputer Application in Social and Behavioral Sciences 606 $aArtificial Intelligence 606 $aData and Information Security 606 $aComputers and Society 615 0$aApplication software. 615 0$aSocial sciences?Data processing. 615 0$aArtificial intelligence. 615 0$aData protection. 615 0$aComputers and civilization. 615 14$aComputer and Information Systems Applications. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aArtificial Intelligence. 615 24$aData and Information Security. 615 24$aComputers and Society. 676 $a005.7 702 $aTagarelli$b Andrea$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTong$b Hanghang$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466433503316 996 $aComputational Data and Social Networks$92586677 997 $aUNISA