Trust inference algorithms for social networks

Faisal, Maha; Alsumait, Asmaa; Al-ameer, Zainab

doi:10.7603/s40632-014-0003-2

Cited by 7 publications

(2 citation statements)

References 34 publications

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“…A study (Tremayne and Minooie, 2013) utilised Twitter data using NodeXL in order to study opinion leadership around gun control shorty after gun-related violence in the USA. Others have studied political movements such as the Occupy Wall Street movement (Tremayne, 2014), health topics such as childhood obesity (Harris, Moreland-Russell, Tabak, Ruhr and Maier, 2014), UK local authorities (Panagiotopoulos and Sams, 2012), natural disasters, health (Harris, Moreland-Russell, Choucair, Mansour, Staub and Simmons, 2014), information diffusion (Russell et al , 2015), trust on social networks (Faisal et al , 2014), libraries (Borgatti et al , 2014) and political language use (Piepoli et al , 2012) have also all been studied.…”

Section: Resultsmentioning

confidence: 99%

Social media analytics: analysis and visualisation of news diffusion using NodeXL

Ahmed

Lugović

2019

OIR

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The purpose of this paper is to provide an overview of NodeXL in the context of news diffusion. Journalists often include a social media dimension in their stories but lack the tools to get digital photos of the virtual crowds about which they write. NodeXL is an easy to use tool for collecting, analysing, visualizing, and reporting on the patterns found in collections of connections in streams of social media. With a network map patterns emerge that highlight key people, groups, divisions and bridges, themes and related resources. Design/methodology/approach: This study conducts a literature review of previous empirical work which has utilised NodeXL and highlights the potential of NodeXL to provide network insights of virtual crowds during emerging news events. It then develops a number of guidelines which can be utlised by news media teams to measure and map information diffusion during emerging news events. Findings: One emergent software application known as NodeXL has allowed journalists to take 'group photos' of the connections among a group of users on social media. It was found that a diverse range of disciplines utilise NodeXL in academic research. Furthermore based on the features of NodeXL a number of guidelines were developed which provide insight into how to measure and map emerging news events on Twitter. Social implications: With a set of social media network images a journalist can cover a set of social media content streams and quickly grasp "situational awareness" of the shape of the crowd. Since social media popular support is often cited but not documented, NodeXL social media network maps can help journalists quickly document the social landscape utilising an innovative approach. Originality/value: This is the first empirical study to review literature on NodeXL, and to provide insight into the value of network visualisations and analytics for the news media domain. Moreover, it is the first empirical study to develop guidelines that will act as a valuable resource for newsrooms looking to acquire insight into emerging news events from the stream of social media posts. In the era of fake news and automated accounts i.e., bots the ability to highlight opinion leaders and ascertain their allegiances will be of importance in today's news climate.

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Section: Resultsmentioning

confidence: 99%

Social media analytics: analysis and visualisation of news diffusion using NodeXL

Ahmed

Lugović

2019

OIR

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“…In current studies, most of methods using the traditional model are based on static access control mode, which is difficult to satisfy the expressive and dynamic requirements of social network access control's. Zhang et al propose a method for the services with direct trust value and indirect trust value base on user's experiment, and Faisal et al design a recommender system that provides recommendations about trusted social network members, whose effectiveness is low, especially when the network is dense.…”

Section: Related Workmentioning

confidence: 99%

A novel social network access control model using logical authorization language in cloud computing

Tao

Gai

et al. 2016

Concurrency and Computation

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Summary Current rapid increasing implementations in data diversity, autonomy, and dynamic privilege management, fine‐grained access controls in social networks have resulted in various challenges in applying existing access control models. The intercrossing relations lead to the complex access control system, which often brings risks when the system is updated or expanded. The implementations of cloud computing has further complicate the access controls due to multiple tenancies and service providers. We focus on this issue and propose a new social network access control model using logical authorization language, named as RuleSN, which can be efficiently used in cloud systems. This model provides high performance of authorization expressiveness and flexibility that can effectively describe relations of User to User (U2U), User to Resource (U2R), Resource to Resource (R2R) and attributes of users and resources. First, this paper elaborates the formal definitions of the RuleSN model. Second, we describe the model's authorization specification and verification policies and explain the syntax and semantics of the authorization language. Finally, the implementation, application, and expressiveness of the model discussed by examples. Copyright © 2016 John Wiley & Sons, Ltd.

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A trust evaluation scheme for complex links in a social network: a link strength perspective

Xiang

Zhang

et al. 2016

Appl Intell

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Trust inference algorithms for social networks

Cited by 7 publications

References 34 publications

Social media analytics: analysis and visualisation of news diffusion using NodeXL

Social media analytics: analysis and visualisation of news diffusion using NodeXL

A novel social network access control model using logical authorization language in cloud computing

A trust evaluation scheme for complex links in a social network: a link strength perspective

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