Robust features of trust in social networks

Borbora, Zoheb; Ahmad, Muhammad Aurangzeb; Oh, Jehwan; Haigh, Karen Zita; Srivastava, Jaideep; Wen, Zhen

doi:10.1007/s13278-013-0136-6

Cited by 10 publications

(5 citation statements)

References 32 publications

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“…Guzman (2013) used sentiment analysis to capture emotion during diferent software development phases and to provide emotional climate awareness. Borbora et al (2013) considered the sentiment expressed in communications as an indicator of the presence/absence of trust among stakeholders. Zhang et al (2009) suggested the use of sentiment analysis to get a better understanding of trust among users.…”

Section: Sentiment Analysismentioning

confidence: 99%

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Dediź

Stanier

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

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ICEIS 2016 received 257 paper submissions from 42 countries in all continents, which makes it one of the largest conferences in the World in the area of Information Systems, thus demonstrating the success and global dimension of this conference. From these, 42 papers were selected for publication and presentation at the Conference as full papers. These numbers, leading to a full-paper acceptance ratio of 16%, show the intention of preserving a high quality forum for this conference, a quality that we intend to maintain in the future, for the next editions of this conference.The high number and high quality of the received papers imposed difficult choices in the selection process. To evaluate each submission, a double blind paper review was performed by the Program Committee, whose members are highly qualified researchers in ICEIS topic areas.All presented papers will be available at the SCITEPRESS Digital Library and will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.Additionally, a short list of presented papers will be selected to be expanded into a forthcoming book of ICEIS 2016 Selected Papers to be published by Springer in the LNBIP Series.The technical program of the conference included a panel and 4 invited talks delivered by internationally distinguished speakers, namely: Claudia Loebbecke (University of Cologne, Germany), Sergio Gusmeroli (TXT e-solutions SPA, Italy), Wil Van Der Aalst (Technische Universiteit Eindhoven, Netherlands) and Jan Vom Brocke (University of Liechtenstein, Liechtenstein). Their participation positively contributes to reinforce the overall quality of the Conference and to provide a deeper understanding of the fields addressed by the conference.Moreover, ICEIS 2016 had a Doctoral Consortium on Enterprise Information Systems and 1 tutorial. We are thankful to the Conference Co-chairs (Olivier Camp and José Cordeiro) and Program Co-chairs (Slimane Hammoudi, Leszek Maciaszek and Michele M. Missikoff) for their dedication and hard work in organizing these events.We sincerely thank all the authors for their submissions and participation in ICEIS 2016. Furthermore, we would like to thank all the members of the program committee and reviewers, who helped us with their expertise, dedication and time. We would also like to thank the invited speakers for their excellent contribution in sharing their knowledge and vision and the workshop/special session chairs whose collaboration with ICEIS 2015 was much appreciated. Finally, we gratefully acknowledge the professional support of the ICEIS 2016 team for all organizational processes. XIIIWe hope that all colleagues find this a fruitful and inspiring conference. We hope to contribute to the development of the Enterprise Information Systems community and look forward to having additional research results presented at the next edition of ICEIS, details of which are available at http://www.iceis.org. Slimane Hammoudi University of Cologne, GermanyAbstract:...

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Section: Sentiment Analysismentioning

confidence: 99%

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Dediź

Stanier

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

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Section: Sentiment Analysismentioning

confidence: 99%

Estimating Trust in Virtual Teams - A Framework based on Sentiment Analysis

Cruz

Huzita

Feltrim

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

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The advance in technology has enabled the emergence of virtual teams. In these teams, people are in different places and possibly over different time zones, making use of computer mediated communication. At the same time distribution brings benefits, there are some challenges as the difficulty to develop trust, which is essential for efficiency in these teams. In this scenario, trust information could be used to allocate members in a new team and/or, to monitor them during the project execution. In this paper we present an automatic framework for detecting trust between members of global software development teams using sentiment analysis from comments and profile data available in versioning systems. Besides the framework description, we also present its implementation for the GitHub versioning system. 2 GLOBAL SOFTWARE DEVELOPMENT According to O'Conchuir et al. (2006) GSD is a collaborative activity, which can be characterized by 464

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“…Borbora et al. () defined some robust features of trust, whereas Al‐Oufi, Kim, and El‐Saddik () introduced a group trust metric to identify trustworthy people in a network.…”

Section: Related Workmentioning

confidence: 99%

User modeling in a social network for cognitively disabled people

Arbelaitz

Martínez-Otzeta

Muguerza

2015

Asso for Info Science & Tech

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Online communities are becoming an important tool in the communication and participation processes in our society. However, the most widespread applications are difficult to use for people with disabilities, or may involve some risks if no previous training has been undertaken. This work describes a novel social network for cognitively disabled people along with a clusteringbased method for modeling activity and socialization processes of its users in a noninvasive way. This closed social network is specifically designed for people with cognitive disabilities, called Guremintza, that provides the network administrators (e.g., social workers) with two types of reports: summary statistics of the network usage and behavior patterns discovered by a data mining process. Experiments made in an initial stage of the network show that the discovered patterns are meaningful to the social workers and they find them useful in monitoring the progress of the users.

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Robust features of trust in social networks

Cited by 10 publications

References 32 publications

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Estimating Trust in Virtual Teams - A Framework based on Sentiment Analysis

User modeling in a social network for cognitively disabled people

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