User influence is an important topic of research for online social networks. Recent work has shown that a users influence is not directly related with node indegree. However, the definition of what is an influential or relevant user is still an open subject. In general, we can say that an influential user has the ability to produce incoming activity in an interaction graph. For this reason we h...

Social influence can be described as power the ability of a person to influence the thoughts or actions of others. Identifying influential users on online social networks such as Twitter has been actively studied recently. In this paper, we investigate a modified k-shell decomposition algorithm for computing user influence on Twitter. The input to this algorithm is the connection graph between ...

Advertising in social network has become a multi-billiondollar industry. A main challenge is to identify key influencers who can effectively contribute to the dissemination of information. Although the influence maximization problem, which finds a seed set of k most influential users based on certain propagation models, has been well studied, it is not target-aware and cannot be directly applie...

With the popularity of social networking sites (SNS) in this era of Web 2.0, increasingly more users are contributing their opinions about products and organizations. These online comments often have direct influence on consumers’ buying decisions and the public’s impressions of enterprises. As a result, enterprises have begun to use SNS to conduct targeted marking and reputation management. As...

We present in this paper a multicultural approach to social media marketing analytics, applied in two Facebook brand pages: French (individualistic culture, the country home of the brand) versus Saudi Arabian (collectivistic culture, one of its country hosts), which are published by an international beauty & cosmetics firm. Using social network analysis and content analysis, we identify the mos...