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E-grāmata: Computer Supported Cooperative Work and Social Computing: 16th CCF Conference, ChineseCSCW 2021, Xiangtan, China, November 26-28, 2021, Revised Selected Papers, Part II

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Computer Supported Cooperative Work and Social Computing: 16th CCF Conference, ChineseCSCW 2021, Xiangtan, China, November 26-28, 2021, Revised Selected Papers, Part IIPalielināt
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The two-volume set CCIS 1491 and 1492 constitutes the refereed post-conference
proceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021. The conference was held in a hybrid mode i.e. online and on-site in Xiangtan due to the COVID-19 crisis.

The 65 revised full papers and 22 revised short papers were carefully reviewed and selected from 242 submissions. The papers are organized in the following topical sections:

Volume I:

Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications;

Volume II: 

Crowd Intelligence and Crowd Cooperative Computing; Social Media and Online Communities.
Crowd Intelligence and Crowd Cooperative Computing.- Locally Linear
Embedding Discriminant Feature Learning Model.- Cache Optimization based on
Linear Regression and DAG Task Graph.- A University Portrait System
Incorporating Academic Social Network.- Multi-objective Optimization Of
Ticket Assignment Problem In Large Data Centers.- Joint Embedding Multiple
Feature and Rule for Paper Recommendation.- Predicting Drug-Target
Interactions Binding Affinity by Using Dual Updating Multi-Task Learning.-
GRE: A GAT-based Relation Embedding Model of Knowledge Graph for
Recommendation.- Locating Hidden Sources in Evolutionary Games Based on Fuzzy
Cognitive Map.- Deep bug triage model based on multi-head self-attention
mechanism.- Taxi Pick-up Area Recommendation via Integrating
Spatio-temporal Contexts into XDeepFM.- Learning When to Communicate among
Actors with Centralized Critic for Multi-agent System.- Social Media and
Online Communities.- Academic text classification algorithm based on
pre-trained model and keyword extraction.- ResConvE: Deeper Convolution-based
Knowledge Graph Embeddings.- Extractive-Abstractive: A Two-Stage Model for
Long Text Summarization.- A Random-walk-based Heterogeneous Attention Network
for Community Detection.- Attributed Network Embedding based on
Attributed-subgraph-based Random Walk for Community Detection.- Adaptive Seed
Expansion Based on Composite Similarity for Community Detection in Attributed
Networks.- MDN: Meta-transfer Learning Method for Fake News Detection.- Local
Community Detection Algorithm Based on Core Area Expansion.- Federated Clique
Percolation for Overlapping Community Detection on Attributed Networks.- A
new academic conference information management system based on social
network.- A Full Information Enhanced Question Answering System Based
on Hierarchical Heterogeneous Crowd Intelligence Knowledge Graph.- Exploring
the Content Sharing Practice across Social Network Sites.- An Improved Label
Propagation Algorithm for Community Detection Fusing Temporal Attributes.-
Understanding Scholar Social Networks: Taking SCHOLAT as An Example.- SCHOLAT
Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute
Information.- A Graph Neural Network-based Approach for Predicting Second
Rise of Information Diffusion on Social Networks.- HPEMed: Heterogeneous
Network Pair Embedding for Medical Diagnosis.- MR-LGC: A Mobile Application
Recommendation Based on Light Graph Convolution Networks.- Neural Matrix
Decomposition Model Based on Scholars Influence.- DOCEM: A
Domain-embedding-based Open-source Community Event Monitoring Model.-
Diversified Concept Attention Method for Knowledge Tracing.- Self-auxiliary
Hashing for Unsupervised Cross Modality Retrieval.- RCBERT An Approach with
transfer learning for App reviews classification.- The Impact of COVID-19 on
Online Games: Machine Learning and Difference-In-Difference.- Uncertain Graph
Publishing of Social Networks for Objective Weighting of Nodes.- Federated
Multi-label Propagation Based on Neighbor Node Influence for Community
Detection on Attributed Networks.- AcaVis: A Visual Analytics Framework for
Exploring Evolution of Dynamic Academic Networks.- Dynamic Information
Diffiusion Model Based on Weighted Information Entropy.
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