Micro-blogs are a challenging new source of information for data mining techniques. Twitter is a micro-blogging service built to discover what is happening at any moment in time, anywhere in the world. Twitter messages are short, and generated constantly, and well suited for knowledge discovery using data stream mining. We briefly discuss the challenges that Twitter data streams pose, focusing ...

Social networking has become a prominent communication method in recent years. The objective of this study was to assess social media use and perception of utility in higher education classrooms among faculty, graduate, and undergraduate cohorts. As a case study, Twitter was included into a semester course to disseminate relevant course information and serve as a discussion tool. Overall, stude...

Twitter is a micro-blogging social media platform for short messages that can have a long-term impact on how scientists create and publish ideas. We investigate the usefulness of Twitter in the development and distribution of scientific knowledge. At the start of the 'life cycle' of a scientific publication, Twitter provides a large virtual department of colleagues that can help to rapidly gene...

Online social networks such as Twitter and Facebook have become a fixture in the lives of millions of people worldwide. Not only are people communicating with those in their social network, but applications like Twitter allow people to publicly broadcast information relevant to them. For the most part initial weather observations are done automatically, however, some aspects of the weather are ...

Twitter spam accounts try to spread malicious content, deceive or advertise certain thoughts over Twitter network. Different approaches have been presented both in industry and academia to identify spammers on Twitter. This study aims at understanding the behavior of Twitter spam accounts targeting Saudi Arabia. In this study the author performs an empirical analysis of Twitter spam accounts in...

The stock market is a popular topic in Twitter. The number of tweets concerning a stock varies over days, and sometimes exhibits a significant spike. In this paper, we investigate the relationship between Twitter volume spikes and stock options pricing. We start with the underlying assumption of the Black–Scholes model, the most widely used model for stock options pricing, and investigate when ...

This study explores the implications of how user interface elements affect the types of messages that are produced as well as the likelihood that, and extent to which, those messages are spread within an online social system such as Twitter.com, a popular online service for sharing short messages. The current paper explores these issues by studying the dissemination patterns of emotional-type m...

As internet and smartphones have become more accessible in Thailand, a growth of social networking service (SNS) has been continuously increased. Twitter has ranked as one of the top SNS among other services for several years. With unique feathers of Twitter, it is worthy to investigate how Twitter is used by Thai users. Since politics in Thailand has always been one of the most discussed topic...

We study the power of Twitter events to predict consumer sales events by analysing sales for 75 companies from the retail sector and over 150 million tweets mentioning those companies along with their sentiment. We suggest an approach for events identification on Twitter extending existing methodologies of event study. We also propose a robust method for clustering Twitter events into different...

Microblogs such as Twitter provide a valuable corpus of diverse user-generated content. While the data extracted from Twitter is generally timely and accurate, the process by which developers currently extract structured data from the tweet stream is ad-hoc and requires reimplementation of common data manipulation primitives. In this paper, we present two systems for extracting structure from a...