Information Retrieval from Facebook for Social Network Analysis

Complex Event Processing (CEP) is becoming increasingly important for effectively modeling and early identification of potentially dangerous events in many application domains, such as video surveillance, business process management, and social network analysis. Consequently, there is a growing need...

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Bibliographic Details
Published in2023 IEEE 17th International Conference on Semantic Computing (ICSC) pp. 329 - 336
Main Authors Persia, Fabio, D'Auria, Daniela
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2023
Subjects
Analytical models
Blogs
Business process management
Complex Event Processing
Data mining
Facebook
Information Retrieval
Semantics
Social Network Analysis
Social networking (online)
Users' Interactions
Video surveillance
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Summary:Complex Event Processing (CEP) is becoming increasingly important for effectively modeling and early identification of potentially dangerous events in many application domains, such as video surveillance, business process management, and social network analysis. Consequently, there is a growing need to automatically extract information from social networks that could be useful for further and deeper analysis. As a result, in this paper we describe an application that can automatically detect users' interactions with Facebook, which has been used by many social network analysis applications and can serve as a guideline for researchers in this field.
DOI:10.1109/ICSC56153.2023.00067