Analysis of Student Online Interaction Behavior: A Social Relationship Perspective

Yuan, Peiyan and Yu, Hai and Liu, Ping (2018) Analysis of Student Online Interaction Behavior: A Social Relationship Perspective. EAI Endorsed Transactions on e-Learning, 5 (18): 4. ISSN 2032-9253

Preview

Text (PDF) eai.12-3-2019.156835.pdf - Published Version Available under License Creative Commons Attribution No Derivatives. Download (1MB) | Preview

Abstract

Mobile opportunistic networks (MONs) have been attracting increasing amounts of attention in recent years. Characterizing user contact behavior provides a baseline to evaluate the performance of these networks. However, because the contact distribution of nodes in MONs is conventionally modeled from a large-scale perspective, i.e., by aggregating all node pairs, the contact features of nodes with multiple social relationships are not reflected. Thus, it is not clear whether friends and strangers have similar or different contact behaviors. In this study, we aggregated the contact information of users from the real world, and discovered that two phenomena exist: (1) Most friends or strangers make contact at public hotspots, rather than private hotspots; (2) The distribution of intra-contact time (ICT) exhibits different decay factors---the ICT distribution of strangers is predominantly faster than that of friends.

Item Type:	Article
Uncontrolled Keywords:	Mobile opportunistic networks; User contact behavior; Social relationship; Hotspots
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science QA75 Electronic computers. Computer science
Depositing User:	EAI Editor I.
Date Deposited:	16 Sep 2020 12:26
Last Modified:	16 Sep 2020 12:26
URI:	https://eprints.eudl.eu/id/eprint/342

Actions (login required)

View Item