Уровень 0 · материалов: 3
В кластер входят документы, посвященные эмпирической проверке теории шести рукопожатий с помощью анализа данных социальных сетей, и не входят документы об общих принципах сетевого взаимодействия без привязки к данной теории.
Общие признаки: теория шести степеней разделения, анализ социальных сетей, расстояние между пользователями, проверка гипотезы на больших данных
Группа выше: Математика в приложениях и обществе
Смысл: The text demonstrates that the 'six degrees of separation' theory holds true within the VKontakte social network, showing an average distance of 6.65 handshakes between random users through a custom-built data mining pipeline.
By scraping VKontakte data and utilizing a bidirectional search algorithm, the author confirmed that the average distance between users is 6.65 handshakes, supporting the six degrees of separation theory.
Смысл: The text describes a social network analysis project on the Habr platform, calculating the 'distance' (number of friendship links) between users and a specific influential user, thereby testing the six degrees of separation theory.
The author created a tool to calculate the 'Boomburum number,' measuring the friendship distance between Habr users and user boomburum using Node.js and Redis.
Смысл: The text aims to demonstrate that the 'six degrees of separation' theory is a scientifically proven fact, validated through the analysis of massive datasets from digital communication networks.
Microsoft researchers analyzed 30 billion MSN Messenger messages to mathematically prove that the average distance between two people is approximately 6.6 connections.