Sparse Social Networks
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Related Articles from SNS
Balancing the Spread of Two Opinions in Sparse Social Networks
arXiv:2105.10184v3 Announce Type: replace Abstract: Inspired by the famous Target Set Selection problem, we propose a new discrete model to simultaneously spread two opinions within a social network and perform an initial study of its complexity. Here, we are given a social network, a seed-set of agents for each opinion, two thresholds for each agent, a budget, and a number of rounds. The first threshold represents the willingness of an agent to adopt an opinion if the agent has no opinion...
Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy
Announce Type: cross Abstract: Social systems consist of networks of individuals who influence one another through social interactions. Studying how processes evolve on these networks can help us better understand patterns of social behavior. We study a system that couples online and offline social activity and investigate how to learn effective models directly from data using Weak Form Sparse Identification of Nonlinear Dynamics (WSINDy), a method for discovering governing equations.
Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy
Announce Type: cross Abstract: Social systems consist of networks of individuals who influence one another through social interactions. Studying how processes evolve on these networks can help us better understand patterns of social behavior. We study a system that couples online and offline social activity and investigate how to learn effective models directly from data using Weak Form Sparse Identification of Nonlinear Dynamics (WSINDy), a method for discovering governing equations.
Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy
arXiv:2605.30432v2 Announce Type: replace-cross Abstract: Social systems consist of networks of individuals who influence one another through social interactions. Studying how processes evolve on these networks can help us better understand patterns of social behavior. We study a system that couples online and offline social activity and investigate how to learn effective models directly from data using Weak Form Sparse Identification of Nonlinear Dynamics (WSINDy), a method for discovering...
Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy
arXiv:2605.30432v2 Announce Type: replace-cross Abstract: Social systems consist of networks of individuals who influence one another through social interactions. Studying how processes evolve on these networks can help us better understand patterns of social behavior. We study a system that couples online and offline social activity and investigate how to learn effective models directly from data using Weak Form Sparse Identification of Nonlinear Dynamics (WSINDy), a method for discovering...
2,000 years ago in Scotland, people removed a corpse's brain and fashioned the arm bones into tools
2,000 years ago in Scotland, people removed a corpse's brain and fashioned the arm bones into tools A new analysis of 2,000-year-old skeletons found in northern Scotland has revealed an unusual funeral ritual involving the manipulation of dead bodies. About 2,000 years ago in the far North of Scotland, a woman was buried after her brain was scooped out and her bones were whittled into tools, a new analysis reveals. The highly unusual burial is giving archaeologists new insight into social...
Graph Traversal on Tensor Cores: A BFS Framework for Modern GPUs
arXiv:2606.05081v1 Announce Type: new Abstract: Modern GPUs have Tensor Cores (TCs) capable of extremely high-throughput matrix operations, yet graph algorithms remain difficult to accelerate because of their irregular and data-dependent execution patterns. This work presents BLEST, a TC-accelerated framework that reformulates Breadth-First Search (BFS) as a bit-level sparse matrix-vector computation while addressing the load imbalance, memory inefficiency, and synchronization overheads that...
Great mysteries of archaeology: An ancient Amazonian world revealed from the sky
Great mysteries of archaeology: An ancient Amazonian world revealed from the sky Gaby Clark Scientific Editor Andrew Zinin Lead Editor From the air, you see it only through the constant jolt, tilt, and shudder of the low-flying Cessna aircraft. The landscape of the Llanos de Moxos, northern Bolivia, appears as a disconnected patchwork of open grassland savannahs, forest islands, and lakes. It feels random, almost unreadable.
GradNet: A Gradient-Based Framework for Optimal Network Science
arXiv:2603.09197v2 Announce Type: replace Abstract: Network science has traditionally examined how structure determines dynamics. Here we invert this paradigm: we ask how functional dynamics and resource constraints shape network architecture. We introduce GradNet, an AI-enabled optimization framework that treats network topology as a continuously differentiable object.