Novel hybrid model for organizations’ reputation in online social networks
This research presents a hybrid model for measuring reputation of organizations in online social networks
(OSNs). The model combines quantitative and qualitative features that analyze OSN link structures,
interactions, and users’ sentiments to identify and evaluate how well an organization is
perceived in a social network. The proposed reputation model is novel as it introduces several new features
and a comprehensive set of metrics to calculate reputation and rank organizations. The model uses
multi criteria decision making techniques to integrate the different features into one comprehensive reputation
metric. The model has been implemented and applied to calculate the reputation of 47 famous
worldwide companies using a dataset of more than 1.4 million posts and 7.6 million profiles collected
from Twitter. The experiment shows that the proposed model outperforms other existing models and
techniques as it scores the least error and the highest correlation (high accuracy) compared to a benchmark
of the top 10 world’s most admired companies.
Context-aware recommender systems dedicated to online social networks experienced noticeable
growth in the last few years. This has led to more research being done in this area stimulated by…
This research presents a hybrid model for measuring reputation of organizations in online social networks
(OSNs). The model combines quantitative and qualitative features that analyze OSN…
The widespread use of computer technologies in education has reshaped the roles of instructors,
who are encouraged to innovate interactive forms of technology-supported instruction that…