Reputation In Social Networks Research Articles

Leveraging Users’ Trust and Reputation in Social Networks

In on line communities, where there is a huge number of users that interact under anonymous identities, it has been observed that e-word of mouth is a very powerful influence tool. So far, this technology is well known in on-line marketplaces, such as Amazon1, eBay2 or travel based platforms like Tripadvisor or Booking. However, these trust based approach can be leverage in other scenarios from e-democracy to trust based recommendations on e-health context and e-learning systems. The purpose of this contribution is to analyse the main existing trust and reputation mechanisms and to point out new research challenges that needs to be accomplished with the objective of fully exploiting these systems in real world on-line communities.

A review of Sentiment Analysis in Spanish

Sentiment analysis is an area of research that shows an upward trend, especially in the last two years due to large-scale production of opinions and comments from users active over the Web and social networks, in general. Companies and organizations are interested in knowing of their reputation in social networks, blogs, wikis, and other Web sites. Until now, the vast majority of the work involves systems in English. For this reason, the scientific community is interested in studies in other languages. This paper provides a brief overview of the current state of sentiment analysis in Spanish language

Integrated social network reputation inspired routing for effective data forwarding

Wireless sensor networks face many threats which drain the energy. The performance of sensor network routing is much affected in the presence of selfish nodes with messages being delivered with a longer delay. Social network routing is a method in which the messages are selectively forwarded through the nodes where the encounters between these nodes are more likely to occur. Network reputations clearly speak about the quality of nodes involved in data forwarding. The idea is to utilise social network reputations of source or destinations for effective data forwarding in farmland sensor networks.

Social Network Reputation Management: An International Study

Managing social networks is not without cost and thus it is reasonable to assume that larger companies would have better defined strategies than smaller ones. The research explores this assumption and offers an integrity management model, based on 189 different size companies taken from the three major world stock markets representing North America and Asia. Results supported that larger companies are slightly more responsive but smaller firms seem to respond more quickly. Given the potential negative impacts to brand image there appears to be a pervasive lack strategic framework as most firms were not monitoring, integrating or leveraging social media adequately.

From blurry numbers to clear preferences: A mechanism to extract reputation in social networks

Complex social networks are typically used in order to represent and structure social relationships that do not follow a predictable pattern of behaviour. Due to their openness and dynamics, these networks make participants continuously deal with uncertainty before any type of interaction. Reputation appears as a key concept helping users to mitigate such uncertainty. Most of the reputation mechanisms proposed in the literature are based on numerical opinions (ratings), and consequently, they are exposed to potential problems such as the subjectivity in the opinions and their consequent inaccurate aggregation. With these problems in mind, this paper presents a reputation mechanism based on the concepts of pairwise elicitation processes and knock-out tournaments. The main objective of this mechanism is to build reputation rankings from qualitative opinions, thereby removing the subjectivity problems associated with the aggregation of quantitative opinions. The proposed approach is evaluated with different data sets from the MovieLens and Flixster web sites.

Brand personality as a predictor in the product/firm relationship as it relates to brand loyalty during periods of brand stress, catastrophic events or recalls

Social networks are increasingly becoming a dynamic force in firm or brand reputation management. Managing social networks is, however, not without cost and thus it is reasonable to assume that larger companies would have better defined strategies for social network reputation management than smaller ones. The research explores this assumption by presenting the results of the social network activities of 144 companies taken from the two major world stock markets representing North America (NYSE) and the London Exchange (FTSE). Results support that larger companies are slightly more responsive but smaller firms seem to respond more quickly. It was interesting that few firms had social network sites that could be responded to directly and that few firms seemed to monitor their sites in spite of having one. It was suggested that Intimacy–Loyalty influenced and these relationships could hold up better under periods of brand disruptions. While a brand relationship, such as passion, can stimulate sales Intimacy–Loyalty may directly contribute to consumer devotion during difficult times.

Monitoring and protecting company and brand reputation on social networks: when sites are not enough

Companies are increasingly recognising that social networks are a force to contend with in reputation management. There are numerous examples of how single voices using viral systems have, in a matter of days, reached out to millions about poor service or flawed products. Managing social networks is, however, not without cost and thus one could reasonably assume that larger companies would have better defined strategies for social network reputation management than smaller ones. The paper explores this assumption and offers an integrity management model. The social network activities of 99 different size companies (33 small, 33 medium and 33 Large) were examined and results supported that larger companies are slightly more responsive but smaller firms seem to respond more quickly. Of interest was the number of firms (of all sizes) without social media sites. There appears to be a general lack of a strategic framework for thinking about communities as most firms in the study were not monitoring, integrating and leveraging social media adequately.