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A web-based application for monitoring, analyzing and visualizing social networks of Istanbul Sehir University

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EventOrient:

A System for Community-Scale Tempo-Contextual Network Analysis of Social Data Streams

Abstract

We study the evolution of the social network of Istanbul Şehir University overtime, capturing direct, contextual and latent changes in the network structure. The university's story is embodied in the networks we construct, analyze and temporally monitor. Our system,EventOrient, stands on three components; Web Crawling, Networked Data Analysis and Data storytelling, making it a comprehensive system for community-scale tempo-contextual network analysis. Our goal is to render the social development of the university's community in a lucid and insightful manner.

Data

System overview

*EventOrient* provides a thorough pipeline for social network analysis. This pipeline consists of three main components; *Web Crawling*, *Networked Data Analysis* and *Data Storytelling*.

Web Crawling

- The crawler repository can be found in: socialcrawler - Twitter accounts are validated against Gmail contacts obtained from sehir.edu.tr domain

Network Analysis

Application

  • The source code for the Django application of the project can be found in Rest

Backend-Frontend communication

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A web-based application for monitoring, analyzing and visualizing social networks of Istanbul Sehir University

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