Functional and Non-Functional Requirements Modeling for the Design of New Online Social Networks

2019 ◽  
pp. 28-57
Author(s):  
Sarah Bouraga ◽  
Ivan Jureta ◽  
Stéphane Faulkner
Keyword(s):  
Social Networks ◽  
Requirements Engineering ◽  
Online Social Networks ◽  
Functional Requirements ◽  
Modelling Language ◽  
Requirements Modeling ◽  
Starting Point ◽  
Requirements Modelling

Online social networks (OSNs) such as Facebook and LinkedIn are now widely used. They count users in the hundreds of millions. This chapter surveys popular social networks in order to present a pattern of recurring functional requirements as well as non-functional requirements, and a model of that pattern in the i* requirements modelling language. The pattern can serve as a starting point for requirements engineering of new OSNs. The authors test their model by applying it to a popular OSN, namely Twitter.

Pattern-Based Requirements Engineering of New Online Social Networks

2015 ◽  
Vol 7 (4) ◽  
pp. 23-44
Author(s):  
Sarah Bouraga ◽  
Ivan Jureta ◽  
Stéphane Faulkner
Keyword(s):  
Social Networks ◽  
Requirements Engineering ◽  
Online Social Networks ◽  
Modelling Language ◽  
Starting Point ◽  
Requirements Modelling

Online Social Networks (OSNs), such as Facebook and LinkedIn, are now widely used. They count users in the hundreds of millions. This paper surveys popular OSNs in order to identify and present a pattern of recurring requirements, and a model of that pattern in the i-star requirements modelling language. The pattern can serve as a starting point for requirements engineering of new OSNs.

Working Adults' Buying Intention Through Online Social Network

2021 ◽  
Vol 17 (4) ◽  
pp. 92-116
Author(s):  
Syed Shah Alam ◽  
Chieh-Yu Lin ◽  
Mohd Helmi Ali ◽  
Nor Asiah Omar ◽  
Mohammad Masukujjaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Perceived Risk ◽  
Word Of Mouth ◽  
Online Social Network ◽  
Perceived Value ◽  
Online Social Media ◽  
Starting Point

Most businesses have online social media presence; therefore, understanding of working adult's perception on buying through online social networks is vital. The aim of this study is to examine the effect of perceived value, sociability, usability, perceived risk, trust, and e-word-of-mouth on buying intention through online social network sites. The research model for this study was developed based on the literature on information system research. This study adopted convenient sampling of non-probability sampling procedure. Data were collected through self-administered questionnaire, and PLS-based path analysis was used to analyse responses. The findings of the study shows that perceived value, sociability, usability, e-word-of-mouth, attitude, and subjective norm are significant constructs of buying intention through online social networks. This research can serve as a starting point for online shopping research through online social media while encouraging further exploration and integration addition adoption constructs.

Analysis of User Interactions in Online Social Networks

2011 ◽  
Author(s):  
Seokchan Yun ◽  
Heungseok Do ◽  
Jinuk Jung ◽  
Song Mina ◽  
Namgoong Hyun ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
User Interactions
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