This study attempts to examine the effect of user’s self-disclosed identification to measure his influence and activity on Twitter. By looking at the most frequently shared top 1076 tweets written by 250 users during the 2012 presidential election campaign South Korea, we particularly examine the relation between user’s occupation information and the measures of his ‘influence’: the number of f...

The prevalence of online social media such as Facebook, Twitter, LinkedIn and YouTube has attracted considerable research in social influence analysis with applications in viral marketing, online advertising, recommender systems, information diffusion, and experts finding. Social influence occurs when one?s emotions, opinions, or behaviors are affected by others. Most of the works on social inf...

Along with the explosive growth of the phenomenon Online Social Networks (OSN), identifying influential users in OSN has received a great deal of attention in recent years. However, the development of practical approaches for the identification of influential users is still in its infancy and researchers face numerous challenges. By means of a structured literature review, we analyze and synthe...

We define a new metric for measuring influence on Twitter using retweets. Existing metric focuses on the user’s ability to pass-on high value content, while our new metric focuses on the ability to generate the original high value content. Experiments show that these two metrics produce completely different rankings of the most influential users. In addition, the influences of top influential u...

Online social networks act as good mediums for communication but are also becoming popular for targeting the social needs of their users. Mainstream social networks are still unable to incorporate lowliterate users into their user-base as their interfaces are on the web or in Short Message Service (SMS) format, while low-literate people constitute a major portion of world’s population. Speech-b...

Recently, increasing numbers of users have adopted microblogging services as their main information source. However, most of them find themselves drowning in the millions of posts produced by other users every day. To cope with this, identifying a set of the most influential people is paramount. Moreover, finding a set of related influential users to expand the coverage of one particular topic ...

With the popularity of OSNs, finding a set of most influential users (or nodes) so as to trigger the largest influence cascade is of significance. For example, companies may take advantage of the “wordof-mouth” effect to trigger a large cascade of purchases by offering free samples/discounts to those most influential users. This task is usually modeled as an influence maximization problem, and ...

In this paper, we propose and present a practical tool for social networking services that can be used to help users find the opinion leaders or influential users in a certain community. This tool can act as a front-end to existing social networking services such as Twitter and gives a list of influential users in their network given a topic. Our approach differs from most of existing recommend...