A survey of event detection techniques in online social networks

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Anuradha Goswami ◽  
Ajey Kumar
Keyword(s):  
Social Networks ◽  
Event Detection ◽  
Online Social Networks ◽  
Detection Techniques

scholarly journals Event Detection System Based on User Behavior Changes in Online Social Networks: Case of the COVID-19 Pandemic

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 158806-158825
Author(s):  
Renata Lopes Rosa ◽  
Marielle Jordane De Silva ◽  
Douglas Henrique Silva ◽  
Muhammad Shoaib Ayub ◽  
Dick Carrillo ◽  
...  
Keyword(s):  
Social Networks ◽  
Event Detection ◽  
Online Social Networks ◽  
User Behavior ◽  
Detection System ◽  
Behavior Changes

Traffic Event Detection Using Online Social Networks

2017 ◽  
Author(s):  
Alexandra S. Pereira ◽  
Thais R. M. B. Silva ◽  
Fabricio A. Silva ◽  
Antonio A. F. Loureiro
Keyword(s):  
Social Networks ◽  
Event Detection ◽  
Online Social Networks

scholarly journals Event identification in social networks

2017 ◽  
Vol 01 (01) ◽  
pp. 1630002 ◽  
Author(s):  
Fattane Zarrinkalam ◽  
Ebrahim Bagheri
Keyword(s):  
Social Networks ◽  
Event Detection ◽  
State Of The Art ◽  
Recent Event ◽  
Event Identification ◽  
Detection Techniques ◽  
The Social ◽  
Structured Documents ◽  
Source Of Information ◽  
Emerging Topics

Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as a potentially viable source of information to understand the current emerging topics/events. The ability to model emerging topics is a substantial step to monitor and summarize the information originating from social sources. Applying traditional methods for event detection which are often proposed for processing large, formal and structured documents, are less effective, due to the short length, noisiness and informality of the social posts. Recent event detection techniques address these challenges by exploiting the opportunities behind abundant information available in social networks. This article provides an overview of the state of the art in event detection from social networks.

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