Sport social networks concern different types of relationship among athletes or teams in specific sports. Such networks have recently been used to address problems related to prediction of results of matches or championships and rankings of athletes or teams. In many cases, such analyses consider a complete and static view of the network that does not take into account the temporal nature of sp...

Social media monitoring is fast becoming a staple activity for public relations and communications staff, who have a growing mandate to track mentions of organisational entities, projects, or products in social media. However, this task is not trivial because: 1) the mentions may be found across a variety of social media and 2) the keywords used for detecting mentions are often ambiguous. We ad...

Active users of social networks are subjected to extreme information overload, as they tend to follow hundreds (or even thousands of other users). Aggregated social feeds on sites like Twitter are insufficient, showing superfluous content and not allowing users to separate their topics of interest or place a priority on the content being pushed to them by their “friends.” The major social netwo...

Dushyant Vaghela http://explorequotes.com Department of Computer Engineering RK University, Rajkot, India. Abstract—Internet is fast becoming critically important to commerce, industry and individuals. Search Engine (SE) is the most vital component for communication network and also used for discover information for users or people. Search engine optimization (SEO) is the process that is mostly...

The problem of clustering a large document collection is not only challenged by the number of documents and the number of dimensions, but it is also affected by the number and sizes of the clusters. Traditional clustering methods fail to scale when they need to generate a large number of clusters. Furthermore, when the clusters size in the solution is heterogeneous, i.e. some of the clusters ar...

The WWW today is overwhelmed with information on almost every topic. Therefore, relevance ranking of web pages to a user’s expectations is a challenge, rather than retrieving a collection of thousands of web pages selected by keyword matching. This paper presents an approach to rank tagged web pages retrieved from a Social Bookmarking Site for a learner who needs web resources containing conten...

Recent years have witnessed the success of many online social media websites, which allow users to create and share media information as well as describe the media content with tags. However, the existing ranking approaches for tag-based image search frequently return results that are irrelevant or lack of diversity. This paper proposes a diverse relevance ranking scheme which is able to simult...

Originally formulated in Social Choice theory, Ranking Aggregation, also referred to as Consensus Ranking, has motivated the development of numerous statistical models since the middle of the 20th century. Recently, the analysis of ranking/preference data has been the subject of a renewed interest in machine-learning, boosted by modern applications such as meta-search engines, giving rise to th...