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ORCID10th COMPLEX NETWORKS 2021: Madrid, Spain
- Rosa María Benito, Chantal Cherifi, Hocine Cherifi
, Esteban Moro, Luis M. Rocha, Marta Sales-Pardo:
Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30 - December 2, 2021. Studies in Computational Intelligence 1016, Springer 2022, ISBN 978-3-030-93413-2 - Seema Nagar, Sameer Gupta, C. S. Bahushruth, Ferdous Ahmed Barbhuiya, Kuntal Dey:
Hate Speech Detection on Social Media Using Graph Convolutional Networks. 3-14 - Seema Nagar, Sameer Gupta, Ferdous Ahmed Barbhuiya, Kuntal Dey:
Capturing the Spread of Hate on Twitter Using Spreading Activation Models. 15-27 - Niccolo Pescetelli, Daniel Barkoczi, Manuel Cebrián:
Indirect Causal Influence of a Single Bot on Opinion Dynamics Through a Simple Recommendation Algorithm. 28-41 - Tuan Pham:
Modelling the Effects of Self-learning and Social Influence on the Diversity of Knowledge. 42-53 - Masaki Aida, Ayako Hashizume:
Activator-Inhibitor Model for Describing Interactions Between Fake News and Their Corrections. 54-65 - Juan Carlos Losada, José Manuel Robles, Rosa María Benito, Rafael Caballero:
Love and Hate During Political Campaigns in Social Networks. 66-77 - Seema Nagar, Sameer Gupta, C. S. Bahushruth, Ferdous Ahmed Barbhuiya, Kuntal Dey:
Homophily - a Driving Factor for Hate Speech on Twitter. 78-88 - Richard Kuzma, Iain J. Cruickshank, Kathleen M. Carley:
Influencing the Influencers: Evaluating Person-to-Person Influence on Social Networks Using Granger Causality. 89-99 - Philipp Darius, Fabian Stephany:
How the Far-Right Polarises Twitter: 'Hashjacking' as a Disinformation Strategy in Times of COVID-19. 100-111 - Vesa Kuikka, Minh An Antti Pham:
Models of Influence Spreading on Social Networks. 112-123 - Franco Bagnoli, Guido de Bonfioli Cavalcabo', Benedetto Casu, Andrea Guazzini:
Bubble Effect Induced by Recommendation Systems in a Simple Social Media Model. 124-131 - Bart De Clerck, Filip Van Utterbeeck, Julien Petit, Ben Lauwens, Wim Mees, Luis E. C. Rocha:
Maximum Entropy Networks Applied on Twitter Disinformation Datasets. 132-143 - Valeria Fionda, Giuseppe Pirrò:
Community Deception in Networks: Where We Are and Where We Should Go. 144-155 - Qi Yang, Khizar Qureshi, Tauhid Zaman:
Mitigating the Backfire Effect Using Pacing and Leading. 156-165 - Baris Kirdemir, Nitin Agarwal:
Exploring Bias and Information Bubbles in YouTube's Video Recommendation Networks. 166-177 - Ryan Solorzano, Theresa Migler:
Modeling the Spread of COVID-19 Over Varied Contact Networks. 181-193 - Yaroslav V. Salii:
Benchmarking Optimal Control for Network Dynamic Systems with Plausible Epidemic Models. 194-206 - Meher Chaitanya, Ulrik Brandes:
Hardness Results for Seeding Complex Contagion with Neighborhoods. 207-216 - Owais Ahmed Hussain, Faraz Zaidi:
Influence Maximization in Complex Networks Through Supervised Machine Learning. 217-228 - Van Sy Mai, Richard J. La:
Story of Two Populations in Epidemics: Is Every Infection Counted? 229-240 - Aparna Kishore, Lucas Machi, Chris J. Kuhlman, Dustin Machi, S. S. Ravi:
A Framework for Simulating Multiple Contagions Over Multiple Networks. 241-252 - Koduru Hajarathaiah, Murali Krishna Enduri, Satish Anamalamudi:
Finding Influential Nodes in Complex Networks Using Nearest Neighborhood Trust Value. 253-264 - Long Ma, Maksim Kitsak, Piet Van Mieghem:
Two-Population SIR Model and Strategies to Reduce Mortality in Pandemics. 265-276 - Mehmet Emin Aktas, Esra Akbas:
Hypergraph Laplacians in Diffusion Framework. 277-288 - Tatjana Petrov, Stefano Tognazzi:
Lumping Reductions for Multispread in Multi-Layer Networks. 289-300 - Trevor G. Kent, Nolan Edward Phillips, Ian McCulloh, Viveca Pavon-Harr, Heather G. Patsolic:
Microscopic Markov Chain Approach for Measuring Mobility Driven SARS-CoV-2 Transmission. 301-314 - Alessandro Celestini, Francesca Colaiori, Stefano Guarino, Enrico Mastrostefano, Lena Rebecca Zastrow:
Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing. 315-326 - Valentina Pansanella, Giulio Rossetti, Letizia Milli:
From Mean-Field to Complex Topologies: Network Effects on the Algorithmic Bias Model. 329-340 - Antoine Vendeville, Benjamin Guedj, Shi Zhou:
Towards Control of Opinion Diversity by Introducing Zealots into a Polarised Social Group. 341-352 - Markus Brede, Guillermo Romero Moreno:
Sensing Enhancement on Complex Networks. 353-364 - Mingxuan He, Matthew Gao, Yang Gao, Fernanda M. Eliott:
Cascading Failures and the Robustness of Cooperation in a Unified Scale-Free Network Model. 365-376 - Matthew Hancock, Nafisa Halim, Chris J. Kuhlman, Achla Marathe, Pallab Mozumder, S. S. Ravi, Anil Vullikanti:
Effect of Peer Influence and Looting Concerns on Evacuation Behavior During Natural Disasters. 377-389 - Pau Vilimelis Aceituno:
Eigenvalues of Random Signed Graphs with Cycles: A Graph-Centered View of the Method of Moments with Practical Applications. 390-400 - Shiv Shankar, Don Towsley:
Bosonic Random Walk Neural Networks for Graph Learning. 401-411 - Shu Liu, Fujio Toriumi, Mao Nishiguchi, Shohei Usui:
Multiple Role Discovery in Complex Networks. 415-427 - Shintaro Fukushima, Ryoga Kanai, Kenji Yamanishi:
Graph Summarization with Latent Variable Probabilistic Models. 428-440 - Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström:
Image Keypoint Matching Using Graph Neural Networks. 441-451 - Lucia Cavallaro, Marco Grassia, Giacomo Fiumara, Giuseppe Mangioni, Pasquale De Meo, Vincenza Carchiolo, Ovidiu Bagdasar, Antonio Liotta:
Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks. 452-460 - John Sigbeku, Emil Saucan, Anthea Monod:
Curved Markov Chain Monte Carlo for Network Learning. 461-473 - Devavrat Vivek Dabke, Bernard Chazelle:
Extracting Semantic Information from Dynamic Graphs of Geometric Data. 474-485 - Misael Mongiovì, Aldo Gangemi:
Graph-based Retrieval for Claim Verification over Cross-document Evidence. 486-495 - Larissa Mori, Mario Ventresca, Toyya A. Pujol:
Supervised Link Weight Prediction Using Node Metadata. 496-507 - Arpit Merchant, Michael Mathioudakis:
Joint Use of Node Attributes and Proximity for Node Classification. 511-522 - Luo Fei, Tianxing Wu, Arijit Khan:
Online Updates of Knowledge Graph Embedding. 523-535 - Shuta Ito, Takayasu Fushimi:
High-Speed and Noise-Robust Embedding of Hypergraphs Based on Double-Centered Incidence Matrix. 536-548 - Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone:
Simple Negative Sampling for Link Prediction in Knowledge Graphs. 549-562 - Amani Abou Rida, Rabih Amhaz, Pierre Parrend:
Evaluation of Anomaly Detection for Cybersecurity Using Inductive Node Embedding with Convolutional Graph Neural Networks. 563-574 - Vadim Porvatov, Natalia Semenova, Andrey Chertok:
Hybrid Graph Embedding Techniques in Estimated Time of Arrival Task. 575-586 - Michael R. Douglas, Michael Simkin, Omri Ben-Eliezer, Tianqi Wu, Peter Chin, Trung V. Dang, Andrew Wood:
What Is Learned in Knowledge Graph Embeddings? 587-602 - Sara Omranian, Zoran Nikoloski:
CUBCO: Prediction of Protein Complexes Based on Min-cut Network Partitioning into Biclique Spanned Subgraphs. 605-615 - Kevin A. Murgas, Emil Saucan, Romeil Sandhu:
Quantifying Cellular Pluripotency and Pathway Robustness Through Forman-Ricci Curvature. 616-628 - Myles Akin, Yixin Guo:
Emergence of Stable Functional Cliques in Developing Neural Networks. 629-640 - Sanjeet Kumar Mahtha, Citu, Abhishek Prasad, Gitanjali Yadav:
Complex Networks Reveal Biological Functions of START Domains in Rice: Insights from Computational Systems Biology. 641-651 - Miguel Romero, Oscar Ramirez, Jorge Finke, Camilo Rocha:
Supervised Gene Function Prediction Using Spectral Clustering on Gene Co-expression Networks. 652-663 - Viet Nguyen, Paul Anderson, Alexis Pasulka, Theresa Migler:
Analysis of the San Luis Obispo Bay Microbiome from a Network Perspective. 664-675 - Athénaïs Vaginay, Taha Boukhobza, Malika Smaïl-Tabbone:
From Quantitative SBML Models to Boolean Networks. 676-687 - Paula G. Rodrigues, Carlos Alberto Stefano Filho, André K. Takahata, Ricardo Suyama, Romis Attux, Gabriela Castellano, João Ricardo Sato, Slawomir J. Nasuto, Diogo C. Soriano:
Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs? 688-699 - Prashant Sanjel, John Matta:
Inferred Networks and the Social Determinants of Health. 703-715 - Hilary Aroke, Natallia V. Katenka, Stephen Kogut, Ashley L. Buchanan:
Network-Based Analysis of Prescription Opioids Dispensing Using Exponential Random Graph Models (ERGMs). 716-730 - Léo Pio-Lopez:
Drug Repositioning Using Multiplex-Heterogeneous Network Embedding: A Case Study on SARS-CoV2. 731-741 - Sarel Cohen, Moshik Hershcovitch, Martin Taraz, Otto Kißig, Andrew Wood, Daniel G. Waddington, Peter Chin, Tobias Friedrich:
Drug Repurposing Using Link Prediction on Knowledge Graphs with Applications to Non-volatile Memory. 742-753 - Francisco Prieto Castrillo, Rosa M. Benito, Javier Borondo:
Understanding Imbalance Mechanisms in Shared Mobility Systems. 757-768 - Aaron Louis Bramson:
Neighborhood Discovery via Network Community Structure. 769-779 - Indaco Biazzo:
CityChrone: an Interactive Platform for Transport Network Analysis and Planning in Urban Systems. 780-791 - Ariel Castillo, Francisco Martínez, Pedro Donoso, Leonel Gutierrez, Ricardo de la Paz Guala:
VLT-LUT: Modeling the Very Long-Term Evolution of the City in 300 Years. 792-803 - Unchitta Kan, Eduardo López:
Layered Hodge Decomposition for Urban Transit Networks. 804-815
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