Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/627232
Title: Itrust: interpersonal trust measurements from social interactions
Authors: Xiaoming Li;Qing Yang;Xiaodong Lin;Shaoen Wu;Mike Wittie
subject: e-commerce|peer-to-peer networks|semantic Web|Itrust|OSN|bidirectional interacting data|Facebook application|electronic commerce|principal component analysis|interpersonal trust measurement|social interaction|online social networks|interpersonal trust quantification|interpersonal trust estimation
Year: 2016
Publisher: IEEE
Abstract: Interpersonal trust is widely cited as an important component in several network systems such as peer-to-peer networks, e-commerce, and semantic web. However, there has been less research on measuring interpersonal trust due to the difficulty of collecting data that accurately reflect interpersonal trust. Currently, friends of a user in almost all OSNs are indistinguishable, that is, there is no explicit indication of the strength of trust between a user and his/her close friends, as opposed to acquaintances. To address this issue, we quantify interpersonal trust by analyzing the social interaction frequencies between users and their friends on Facebook. We consider bidirectional interacting data in OSNs to deconstruct a user's social behavior and apply principal component analysis to estimate interpersonal trust. A Facebook app, itrust, is developed to collect interaction data and calculate interpersonal trust. Results show that itrust achieves more accurate interpersonal trust measurements than existing methods.
Description: 
URI: http://localhost/handle/Hannan/146258
http://localhost/handle/Hannan/627232
ISSN: 0890-8044
volume: 30
issue: 4
Appears in Collections:2016

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Title: Itrust: interpersonal trust measurements from social interactions
Authors: Xiaoming Li;Qing Yang;Xiaodong Lin;Shaoen Wu;Mike Wittie
subject: e-commerce|peer-to-peer networks|semantic Web|Itrust|OSN|bidirectional interacting data|Facebook application|electronic commerce|principal component analysis|interpersonal trust measurement|social interaction|online social networks|interpersonal trust quantification|interpersonal trust estimation
Year: 2016
Publisher: IEEE
Abstract: Interpersonal trust is widely cited as an important component in several network systems such as peer-to-peer networks, e-commerce, and semantic web. However, there has been less research on measuring interpersonal trust due to the difficulty of collecting data that accurately reflect interpersonal trust. Currently, friends of a user in almost all OSNs are indistinguishable, that is, there is no explicit indication of the strength of trust between a user and his/her close friends, as opposed to acquaintances. To address this issue, we quantify interpersonal trust by analyzing the social interaction frequencies between users and their friends on Facebook. We consider bidirectional interacting data in OSNs to deconstruct a user's social behavior and apply principal component analysis to estimate interpersonal trust. A Facebook app, itrust, is developed to collect interaction data and calculate interpersonal trust. Results show that itrust achieves more accurate interpersonal trust measurements than existing methods.
Description: 
URI: http://localhost/handle/Hannan/146258
http://localhost/handle/Hannan/627232
ISSN: 0890-8044
volume: 30
issue: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7513864.pdf165.79 kBAdobe PDFThumbnail
Preview File
Title: Itrust: interpersonal trust measurements from social interactions
Authors: Xiaoming Li;Qing Yang;Xiaodong Lin;Shaoen Wu;Mike Wittie
subject: e-commerce|peer-to-peer networks|semantic Web|Itrust|OSN|bidirectional interacting data|Facebook application|electronic commerce|principal component analysis|interpersonal trust measurement|social interaction|online social networks|interpersonal trust quantification|interpersonal trust estimation
Year: 2016
Publisher: IEEE
Abstract: Interpersonal trust is widely cited as an important component in several network systems such as peer-to-peer networks, e-commerce, and semantic web. However, there has been less research on measuring interpersonal trust due to the difficulty of collecting data that accurately reflect interpersonal trust. Currently, friends of a user in almost all OSNs are indistinguishable, that is, there is no explicit indication of the strength of trust between a user and his/her close friends, as opposed to acquaintances. To address this issue, we quantify interpersonal trust by analyzing the social interaction frequencies between users and their friends on Facebook. We consider bidirectional interacting data in OSNs to deconstruct a user's social behavior and apply principal component analysis to estimate interpersonal trust. A Facebook app, itrust, is developed to collect interaction data and calculate interpersonal trust. Results show that itrust achieves more accurate interpersonal trust measurements than existing methods.
Description: 
URI: http://localhost/handle/Hannan/146258
http://localhost/handle/Hannan/627232
ISSN: 0890-8044
volume: 30
issue: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7513864.pdf165.79 kBAdobe PDFThumbnail
Preview File