In recent years, recommenze the social influence among users to enhance effect of incentivization. Through incentivizing influential directly, their followers in network are possibly incentivized indirectly. However, many real-world applications, identifying can be challenging because unknown topology. this paper, we propose a novel algorithm for exploring networks, estimating relationships bas...

The exchange of information is an innate and natural process that assist in content dispersal. Social networking sites emerge to enrich their users by providing the facility for sharing social interaction. extensive adoption also resulted user generation. There are diverse research areas explored researchers investigate influence media on confirmed have a significant impact markets, politics li...

Social media are an important source of information about the political issues, reflecting, as well as influencing, public mood. We present an analysis of Twitter data, collected over 6 weeks before the Brexit referendum, held in the UK in June 2016. We address two questions: what is the relation between the Twitter mood and the referendum outcome, and who were the most influential Twitter user...

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 ...

The use of Social Media, particularly microblogging platforms such as Twitter, has proven to be an effective channel for promoting ideas to online audiences. In a world where information can bias public opinion it is essential to analyse the propagation and influence of information in large-scale networks. Recent research studying social media data to rank users by topical relevance have largel...

Google Buzz is a novel online service that presents new opportunities for social network analysis. By initializing the Buzz network with existing Gmail contacts, Google provides a unique dataset that may reflect a different aspect of online communication from those found in existing networks such as Facebook and Twitter. In this paper we design heuristic metrics for ranking and recommending inf...

Diffusion in social networks is an important research topic lately due to massive amount of information shared on social media and Web. As information diffuses, users express sentiments which can affect the sentiments of others. In this paper, we analyze how users reinforce or modify sentiment of one another based on a set of inter-dependent latent user factors as they are engaged in diffusion ...

The rapid growth of information networks provides a significant opportunity for people to learn the world and find useful information for decision making. To find influential topics in a given context, instead of searching widely over the whole information network, normally it is wise to find the related communities first and then identify the influential topics in those communities. In this de...