scholarly journals Characterizing user behavior in online social networks: Analysis of the regular use of Facebook

2021 ◽  
Vol 11 (4) ◽  
pp. 3329
Author(s):  
Jaafar Idrais ◽  
Yassine El Moudene ◽  
Abderrahim Sabour
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
New Technologies ◽  
User Behavior ◽  
Search Algorithm ◽  
Human Computer Interactions ◽  
Large Space ◽  
User Behaviour ◽  
Data Collection Process ◽  
Usage Patterns

The analysis of user behaviour in online social networks (OSNs) is one of the important research interests related to human-computer interactions. OSNs gives a large space to share news with no limits around the world and allows user to benefit from properties of this interactive and dynamic system. The study of user behaviour on a social and popular platform characterized by the use of new technologies requires to understand and the analysis of collective behaviour on Facebook. This paper aims to analyse the usage patterns in OSNs using the visible interactions of Facebook, by studying the time of activity and the evolution of human behaviour through a process of detection of visible and non-volatile interactions. In the first step, we perform a data collection process based on breadth first search algorithm (BFS) and semi-supervised crawler agent. In the second step, we build an interaction quantification process to measure users’ activities and analysis related time series. The study of the frequency of periodic use has shown that the communities monitored follow a weekly rhythm that decreases over time to reach a frequency of daily use, which reflects a stability of activities and a case of dependency of use.

scholarly journals Using User Behavior to Measure Privacy on Online Social Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 108387-108401
Author(s):  
Xuefeng Li ◽  
Yang Xin ◽  
Chensu Zhao ◽  
Yixian Yang ◽  
Shoushan Luo ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
User Behavior

A Graph-Based Approach to Model Privacy and Security Issues of Online Social Networks

2013 ◽  
pp. 184-205 ◽  
Author(s):  
Luca Caviglione ◽  
Mauro Coccoli ◽  
Alessio Merlo
Keyword(s):  
Social Networks ◽  
Social Organization ◽  
Online Social Networks ◽  
Personal Information ◽  
Security Policies ◽  
Privacy And Security ◽  
Web Based ◽  
Security Issues ◽  
Cultural Phenomenon ◽  
Usage Patterns

With millions of users, Online Social Networks (OSNs) are a huge cultural phenomenon. Put briefly, they are characterized by: i) an intrinsic sharing of personal information, ii) a rich set of features to publish, organize and retrieve contents, especially for emphasizing their social organization, iii) the interaction with a heterogeneous set of devices, e.g., ranging from desktops to mobile appliances, and iv) the mix of Web-based paradigms and sophisticated methodologies for processing data. However, if not properly implemented, or without effective security policies, i) – iv) could lead to severe risks in terms both of privacy and security. In this perspective, this chapter analyzes the major peculiarities of OSN platforms, the preferred development methodologies, and usage patterns, also by taking into account how personal information can be exploited to conduct malicious actions. Then, a graph-based modeling approach is introduced to reveal possible attacks, as well as to elaborate the needed countermeasures or (automated) checking procedures.

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