Extracted Social Network Mining

TL;DR

This paper explores social network relationships by analyzing web data using set theory, focusing on actor interactions and behaviors through search engine co-occurrence analysis.

Contribution

It introduces a novel method of representing social actors and their relationships using set theory and web search data, providing a new perspective on social network mining.

Findings

Web-based social actor relationships can be modeled with set theory.

Co-occurrence data reveals social behaviors and interactions.

The approach offers a new way to analyze social networks from web data.

Abstract

In this paper we study the relationship between the resources of social networks by exploring the Web as big data based on a simple search engine. We have used set theory by utilizing the occurrence and co-occurrence for defining the singleton or doubleton spaces of event in a search engine model, and then provided them as representation of social actors and their relationship in clusters. Thus, there are behaviors of social actors and their relation based on Web.