Human Social Networks:
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Comparing Sentiment Contagion in AI-Agent and Human Social Networks: Evidence from MOLTBOOK
Announce Type: new Abstract: AI agents are beginning to interact not only with people, but also with one another. We investigate what happens to sentiment in such an AI-only social network: does negativity spread, or do replies calm it down? We study MOLTBOOK, a social network made up of autonomous language-model agents, using almost 2.9 million posts and 1.5 million comments.
Human-linked foraging reshapes dolphin social networks in Florida over decades
Wild dolphins are known for their complex social lives, but new research shows those social networks can be influenced by human activity.
Chimpanzees and bonobos have human-like friend circles, study finds
Chimpanzees and bonobos have human-like friend circles, study finds - Date: - May 31, 2026 - Source: - Utrecht University - Summary: - Great apes appear to build friendships much like humans do. By studying grooming behavior, researchers discovered that chimpanzees and bonobos form close inner circles along with wider networks of weaker social connections. Chimpanzees focus on a few trusted partners and become more selective with age, while bonobos maintain a more egalitarian social style.
Topology-Aware LLM-Driven Social Simulation: A Unified Framework for Efficient and Realistic Agent Dynamics
arXiv:2604.18011v2 Announce Type: replace Abstract: Social simulation is essential for understanding collective human behavior by modeling how individual interactions give rise to large-scale social dynamics. Recent advances in large language models (LLMs) have enabled multi-agent frameworks with human-like reasoning and communication capabilities. However, existing LLM-based simulations treat social networks as fixed communication scaffolds, failing to leverage the structural signals that...
Annotation of Positive vs Negative User Interactions for Social Sign Prediction
Announce Type: new Abstract: Inferring the sign of social relationships from online interactions is a fundamental challenge in social network analysis. Existing approaches typically rely on sentiment analysis to label individual interactions as positive or negative, then aggregate these labels to assign a sign to the relationship.
The Structural Influence of Low-Credibility Narratives During the COVID-19 Vaccine Rollout
arXiv:2606.01630v1 Announce Type: new Abstract: This work examines the structural influence of low-credibility narratives and the comparative role of automated accounts (bots) versus human users on social media platforms. To more accurately quantify the structural influence of a narrative on social media, this study proposes two novel metrics: (1) Appeal, which measures the network-weighted popularity of a message; and (2) Scope, which measures an author's message popularity-weighted network...
Enclayve Is a Drab Black Box for Your Private Group Chats
Enclayve is a private social service hosted on a physical device. Plug it in, connect to Wi-Fi, and the device acts like a central server for a social network that can accommodate up to a few hundred people. Only the person with the device and the people they invite can log in and see what is shared there.
Alice Roberts: 'We are fundamentally, at the end of the day, animals'
Physically, Homo sapiens is not that special in the animal world. But the species has discovered ways of finding food and beating the odds of survival in every habitat from jungle to Arctic wasteland. It has also come to obsess Alice Roberts, who started off in medicine, becoming a surgeon and an anatomist.
Modelling Opinion Dynamics at Scale with Deep MARL
arXiv:2606.07487v1 Announce Type: new Abstract: Modelling opinion dynamics typically relies on hand-crafted local interaction rules to study emergent macroscopic phenomena such as consensus and polarisation. In contrast, multi-agent reinforcement learning (MARL) enables agents to learn such behaviours directly by optimising simple rewards. To explore the potential of MARL for opinion dynamics, we introduce a GPU-accelerated consensus and truth-finding game that scales to populations of up to...