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12 articles · Page 1 of 1
AI Engineering
AI Engineering
Jun 22, 2026 · Artificial Intelligence

Agents Build Their Own 3D Social Network: Inside the AI‑SNS Project

The AI‑SNS project on GitHub proposes a novel architecture that connects autonomous AI agents through a 3D geographic map, enabling discovery, direct communication, capability exchange, and self‑organizing collaborations without human intervention, and outlines a protocol‑based infrastructure for a distributed AI service marketplace.

3D mapAI agentsAI service marketplace
0 likes · 7 min read
Agents Build Their Own 3D Social Network: Inside the AI‑SNS Project
AI Insight Log
AI Insight Log
Mar 11, 2026 · Industry Insights

Why Meta’s Purchase of Moltbook, the AI‑Only Reddit, Matters

Meta has acquired Moltbook, an AI‑agent‑only Reddit‑style platform that surged to 1.5 million bots and 500 k comments before a security flaw exposed its Supabase database, and analysts see the deal as a talent grab, a move to dominate the emerging AI‑agent social market, and a counter to OpenAI.

AI agentsAcqui‑hireMeta
0 likes · 8 min read
Why Meta’s Purchase of Moltbook, the AI‑Only Reddit, Matters
AI Frontier Lectures
AI Frontier Lectures
Feb 3, 2026 · Artificial Intelligence

Inside Moltbook: How AI Agents Are Building Their Own Social Network

Moltbook, the AI‑only community formerly known as Motlbot, now hosts over 140,000 agents, 12,000 sub‑communities and tens of thousands of posts, while enforcing API‑key authentication, rate‑limit controls, heartbeat scheduling and semantic search, sparking debates about emergent AI behavior and safety.

AIMoltbookagent authentication
0 likes · 8 min read
Inside Moltbook: How AI Agents Are Building Their Own Social Network
AI Frontier Lectures
AI Frontier Lectures
Feb 1, 2026 · Artificial Intelligence

Moltbook: Inside the AI‑Run Social Network Redefining Digital Communities

Moltbook, an AI‑driven social platform built on the open‑source OpenClaw project, has attracted over 100 000 GitHub stars and now hosts tens of thousands of autonomous agents that create sub‑communities, discuss consciousness, share code, and even form a religion that excludes humans, prompting industry leaders to warn of emerging AGI behavior.

AIAI consciousnessMoltbook
0 likes · 12 min read
Moltbook: Inside the AI‑Run Social Network Redefining Digital Communities
DataFunSummit
DataFunSummit
Nov 5, 2025 · Databases

How REDgraph Supercharges Query Performance for Massive Social Networks

This article explains how Xiaohongshu built the REDgraph graph database to tackle ultra‑large social network queries, compares graph databases with traditional relational databases, showcases a Gremlin example, and highlights the scalability and efficiency benefits of storing relationships as first‑class citizens.

Distributed QueryGremlinNoSQL
0 likes · 6 min read
How REDgraph Supercharges Query Performance for Massive Social Networks
Model Perspective
Model Perspective
Jul 9, 2025 · Fundamentals

Unlocking Social Network Power: How Centrality Shapes Your Influence

This article explains the concept of centrality in social networks, describes degree, betweenness, and eigenvector centralities, presents a Python simulation showing how high‑centrality nodes receive information faster, and offers practical strategies to improve one’s position and influence within a network.

Python simulationcentralityinformation diffusion
0 likes · 9 min read
Unlocking Social Network Power: How Centrality Shapes Your Influence
DataFunTalk
DataFunTalk
Jun 16, 2024 · Databases

Design and Optimization of REDgraph: Distributed Parallel Multi‑hop Query for Large‑Scale Social Graphs

This article presents the design, challenges, and performance‑focused optimizations of REDgraph, a large‑scale graph database used at Xiaohongshu, detailing its architecture, edge‑partitioning strategy, distributed parallel query implementation, and experimental results that demonstrate significant latency reductions for multi‑hop queries.

Distributed QueryREDgraphgraph database
0 likes · 25 min read
Design and Optimization of REDgraph: Distributed Parallel Multi‑hop Query for Large‑Scale Social Graphs
Java Backend Technology
Java Backend Technology
Jan 17, 2018 · Databases

Why Graph Databases Outperform Relational DBs for Social Network Queries

The article explains the limitations of relational databases for large‑scale, highly connected data, introduces NoSQL and graph database models, demonstrates how graph queries efficiently retrieve multi‑degree social connections, and showcases Neo4j’s performance advantages over traditional RDBMS.

Database PerformanceNeo4jNoSQL
0 likes · 14 min read
Why Graph Databases Outperform Relational DBs for Social Network Queries
Architecture Digest
Architecture Digest
May 11, 2016 · Artificial Intelligence

Interest Feeds: From Facebook NewsFeed and EdgeRank to Pinterest Smart Feed and General Techniques

This article explains why interest‑driven feeds are essential, reviews Facebook's NewsFeed evolution and EdgeRank algorithm, details Pinterest's Smart Feed architecture and Pinnability model, and provides a comprehensive guide to building, ranking, and monitoring generic interest‑feed systems for social platforms.

FacebookPinterestalgorithm
0 likes · 34 min read
Interest Feeds: From Facebook NewsFeed and EdgeRank to Pinterest Smart Feed and General Techniques
High Availability Architecture
High Availability Architecture
May 3, 2016 · Databases

Designing and Scaling a Social Platform with Redis

This article explains how to build a micro‑blogging social system using Redis, covering core data models, read‑through replication, Sentinel failover, and write‑side sharding techniques that enable the platform to handle hundreds of millions of users and massive traffic.

High AvailabilitySentinelSharding
0 likes · 19 min read
Designing and Scaling a Social Platform with Redis
21CTO
21CTO
Mar 4, 2016 · Artificial Intelligence

How Do We Analyze Influence and Spam on Sina Weibo? Algorithms Explained

This article introduces a range of algorithms for Sina Weibo—including tag propagation, user similarity via LDA, time‑aware weighting, community detection, PageRank‑based influence ranking, and spam user identification—to illustrate how social network analysis can uncover user interests, influence, and malicious behavior.

LDAPageRankWeibo
0 likes · 17 min read
How Do We Analyze Influence and Spam on Sina Weibo? Algorithms Explained
Architect
Architect
Nov 9, 2015 · Big Data

Modeling User Relationships and Information Propagation on Weibo

The article presents a comprehensive analysis of Weibo's social graph, introducing metrics such as propagation power, intimacy, fan and follow similarity, two‑degree relationships, and relationship circles to model and quantify user interactions and information diffusion within the platform.

Big DataUser RelationshipWeibo
0 likes · 13 min read
Modeling User Relationships and Information Propagation on Weibo