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.
Persia, F., D'Auria, D. (2023). Information Retrieval from Facebook for Social Network Analysis. In Proceedings - 17th IEEE International Conference on Semantic Computing, ICSC 2023 (pp.329-336). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICSC56153.2023.00067].
Information Retrieval from Facebook for Social Network Analysis
D'Auria D
2023
Abstract
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.
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