Awesome Social & Information Networks

The Evolution of the Peridynamics Community in Its First Quarter Century (2026)

Biraj Dahal et al.

5.49

Insights from GitHub Community on the Matter Standard: Developer Perspectives and Challenges (2026)

Muhammad Hassan et al.

5.49

Visual Analytics of Neighborhood Attribute Profiles for Exploring Structural Equivalence (2026)

Kohei Arimoto et al.

5.49

Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content (2025)

Wenqi Li et al.

5.18

A quantum model of opinion dynamics on networks (2026)

Weiqi Chu

4.39

Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft (2026)

Zeynep Engin et al.

4.39

Conspiracy Theory Rabbit Holes Emerge via Interacting Contagions (2026)

Fabian Tschofenig et al.

4.39

Can homophily explain public underestimation of climate policy support? (2026)

Ekaterina Landgren et al.

4.33

Using AI Agents to Automate Black-Box Audits of Personalization Algorithms at Scale (2026)

Alessandro Morosini et al.

4.33

Modelling the Closed Loop Dynamics Between a Social Media Recommender System and Users' Opinions (2025)

Ella C. Davidson and Mengbin Ye

3.86

Social-Annotate: Self-Healing Browser Extension to Annotate and Collect Social Media Data (2026)

Ali Najafi et al.

3.51

Two Time Scales of Online Discussion: Mixture Distributions of Thread Durations Across Four Reddit Communities (2026)

Agostino Funel

3.51

Information-Epidemic Dynamics in Cyber-Physical Systems: A Hypergraph Framework with Interpersonal Relationships (2026)

Shanchao Peng et al.

3.45

A Contextual Wellness Recommender System (2026)

Aicha AIT ELBAZ et al.

1.94

A Hybrid Tourism Recommendation System with Modified Similarity and Weighted Popularity Scores (2026)

C. R. Haruna et al.

1.94

Combining opinion and structural similarity in link recommendations to counter extreme polarization (2026)

Gabriella D. Franco et al.

1.83

Recommender system in X inadvertently profiles ideological positions of users (2026)

Paul Bouchaud and Pedro Ramaciotti

1.72

Segregation Before Polarization: How Recommendation Strategies Shape Echo Chamber Pathways (2026)

Junning Zhao et al.

1.67

Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation (2025)

Yuqin Lan et al.

1.22

GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems (2024)

Xinyi Wu et al.

1.00

Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote) (2025)

Ruyuan Wan et al.

1.00

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network (2024)

Zheng Wang et al.

0.89

Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms (2023)

Linus W. Dietz and Pablo S\'anchez and Alejandro Bellog\'in

0.28

The Limits of Popularity-Based Recommendations, and the Role of Social Ties (2016)

Marco Bressan et al.

—

Interactive Movie Recommendation Through Latent Semantic Analysis and Storytelling (2017)

Kodzo Wegba et al.

—

A Correlative Denoising Autoencoder to Model Social Influence for Top-N Recommender System (2017)

Yiteng Pan et al.

—

The topological face of recommendation: models and application to bias detection (2017)

Erwan Le Merrer and Gilles Tr\'edan

—

A preference elicitation interface for collecting dense recommender datasets with rich user information (2017)

Pantelis P. Analytis et al.

—

Ghazaleh Beigi and Huan Liu

—

TED Talk Recommender Using Speech Transcripts (2018)

Jaehoon Oh et al.

—

Movie Recommendation System using Sentiment Analysis from Microblogging Data (2018)

Sudhanshu Kumar et al.

—

A Review on Recommendation Systems: Context-aware to Social-based (2018)

S.M. Mahdi Seyednezhad et al.

—

DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow (2019)

Suman Kalyan Maity et al.

—

A Model for Using Physiological Conditions for Proactive Tourist Recommendations (2019)

Rinita Roy and Linus W. Dietz

—

Link Stream Graph for Temporal Recommendations (2019)

Armel Jacques Nzekon Nzeko'o et al.

—

Recommending Dream Jobs in a Biased Real World (2019)

Nadia Fawaz

—

User Validation of Recommendation Serendipity Metrics (2019)

Li Chen et al.

—

Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering (2019)

Dimitrios Rafailidis and Gerhard Weiss

—

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation (2019)

Peipei Wang et al.

—

Aligning Daily Activities with Personality: Towards A Recommender System for Improving Wellbeing (2019)

Mohammed Khwaja et al.

—

Performance of Recommender Systems: Based on Content Navigator and Collaborative Filtering (2019)

Keum Gang Cha et al.

—

A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm (2019)

Jiacheng Dai et al.

—

The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study (2019)

Dominik Kowald and Markus Schedl and Elisabeth Lex

—

Tubes & Bubbles -- Topological confinement of YouTube recommendations (2020)

Camille Roth and Antoine Mazi\`eres and Telmo Menezes

—

Deep Neural Review Text Interaction for Recommendation Systems (2020)

Parisa Abolfath Beygi Dezfouli et al.

—

Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph (2020)

Chien-Chun Ni et al.

—

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection (2020)

Shijie Zhang et al.

—

DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain (2020)

Ye Bi et al.

—

Towards Multi-Language Recipe Personalisation and Recommendation (2020)

Niall Twomey et al.

—

Improving Smart Conference Participation through Socially-Aware Recommendation (2020)

Nana Yaw Asabere et al.

—

A Survey on Personality-Aware Recommendation Systems (2021)

Sahraoui Dhelim et al.

—

Sequential Movie Genre Prediction using Average Transition Probability with Clustering (2021)

Jihyeon Kim et al.

—

DiPS: Differentiable Policy for Sketching in Recommender Systems (2021)

Aritra Ghosh et al.

—

A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation (2022)

Hossein A. Rahmani and Mohammad Aliannejadi and Mitra Baratchi and Fabio Crestani

—

Exploration of the possibility of infusing Social Media Trends into generating NFT Recommendations (2022)

Dinuka Ravijaya Piyadigama et al.

—

Individual Fairness for Social Media Influencers (2023)

Stefania Ionescu et al.

—

Stability and Efficiency of Personalised Cultural Markets (2023)

Haiqing Zhu et al.

—

Recommender Systems for Online and Mobile Social Networks: A survey (2023)

Mattia Giovanni Campana et al.

—

SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media (2024)

Ismail Hossain et al.

—

Adversarial Text Rewriting for Text-aware Recommender Systems (2024)

Sejoon Oh et al.

—

Awesome Social & Information Networks

Datasets & benchmarks

Key papers

Social & Information Networks

Awesome Social & Information Networks

Datasets & benchmarks

Key papers