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.

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.