Characterizing Group-Level User Behavior in Major Online Social Networks
نویسندگان
چکیده
In this paper, we conduct a detailed measurement study to characterize and compare the “group-level”behavior of users in Facebook, Twitter and Google+. We focus on Popular, Cross (with account in three OSNs) and Random group of users in each OSN since they offer complementary views. We capture user behavior with the following metrics: user connectivity, user activity and user reactions. Our grouplevel methodology enables us to capture major trends in the behavior of small but important groups of users, and to conduct interand intra-OSN comparison of user behavior. Furthermore, we conduct temporal analysis on different aspects of user behavior for all groups over a two-year period. Our analysis leads to a set of useful insights including: (i) The more likely reaction by Facebook and Google+ users is to express their opinion whereas TW users tend to relay a received post to other users and thus facilitate its propagation. Despite the culture of reshare among Twitter users, a post by a Popular Facebook user receives more Reshares than a post by a Popular Twitter user. (ii) Added features in an OSN can significantly boost the rate of action and reaction among its users.
منابع مشابه
Knowledge Sharing Behavior Model of Iranian Professionals in experts’ social networks: exploring indexes
Background and Aim: Due to the extensive use of knowledge intelligence, the future of countries depend on the application of specialized knowledge-based social networks. Thus, it is noteworthy to highlight the important role of the professionals. The key indicators of a model for knowledge sharing of Iranian experts, in experts’ social networks has been identified. Methods: For this purpose, ex...
متن کاملA CSA Method for Assigning Client to Servers in Online Social Networks
This paper deals with the problem of user-server assignment in online social network systems. Online social network applications such as Facebook, Twitter, or Instagram are built on an infrastructure of servers that enables them to communicate with each other. A key factor that determines the facility of communication between the users and the servers is the Expected Transmission Time (ETT). A ...
متن کاملAnalysis and Evaluation of Privacy Protection Behavior and Information Disclosure Concerns in Online Social Networks
Online Social Networks (OSN) becomes the largest infrastructure for social interactions like: making relationship, sharing personal experiences and service delivery. Nowadays social networks have been widely welcomed by people. Most of the researches about managing privacy protection within social networks sites (SNS), observes users as owner of their information. However, individuals cannot co...
متن کاملOnline social networks and their Impact on Political Participation in Iran
Undoubtedly, the expansion of participation and competition among social groups in political lifeis one of the major goals of political development. Meanwhile, given the significant changes taken place in the socio-political life of societies, the traditional tools affecting political participation have somewhat weakened. Today, social networking sites are consideredas one of the most important...
متن کاملRelationship between the Online Social Networks Addiction and Psychological Disorders
Background: The Online social networks addiction like others type of addiction can lead to ethical dilemmas, as well as it can be affected from psychological disorders. So, the aim of this research is to analyze the effect of depression, anxiety and usage time of online social networks on the level of online social networks addiction and on the life satisfaction. Method: The method of research ...
متن کامل