Currently, microblogs such as the well-known social network Twitter are one of the most important sources of information in an era of information overload, restiveness and uncertainty. Consequently, developing models to verify information from Twitter ...

This paper suggests a voting algorithm for predicting people's choices. Usually, once a new algorithm is offered, one needs to prove the soundness of the algorithm, i.e., showing that the algorithm does the thing it is set up to do. But in the case of ...

Various projections or views of a heterogeneous information network can be modeled using the graph OLAP (On-line Analytical Processing) framework for effective decision making. Detecting anomalous projections of the network can help the analysts ...

Today, many people spend a lot of time online. Their social interactions captured in online social networks are an important part of the overall personal social profile, in addition to interactions taking place offline. This paper investigates whether ...

Personalization of serious games is an important factor for motivating and engaging players. It requires the identification of players' profiles through the analysis of large volume of data including game data. This research study aims at identifying ...

Traditional classifiers require extracting high dimensional feature representations, which become computationally expensive to process and can misrepresent or deteriorate the accuracy of a classifier. By utilizing a more representative list of extracted ...

Social media (e.g., Facebook and Twitter) serves as a popular platform for online communication and information dissemination, where users can effectively share information such as their recent activities and plans. This kind of information is extremely ...

Cyberbullying is an increasingly prevalent phenomenon impacting young adults. In this paper, we present a study on both detecting cyberbullies in online social networks and identifying the pairwise interactions between users through which the influence ...

Contemporary modern world has witnessed the widespread emergence of online social media and similar technologies. Peoples' behaviour over different social network platform has become an interesting topic of research. In this study, we investigate ...

In this paper, we investigate a method for constructing cascades of information co-occurrence, which is suitable to trace emergent structures in information in scenarios where rich contextual features are unavailable. Our method relies only on the ...

Social media has become a part of our daily life and we use it for many reasons. One of its uses is to get our questions answered. Given a multitude of social media sites, however, one immediate challenge is to pick the most relevant site for a ...

Twitter is a pervasive technology, with hundreds of millions of users serving as sensors that provide eyewitness accounts of events on the ground. In case of popular events, these sensors start to broadcast news by tweeting to their followers, and to ...

The unprecedented use of social media through smartphones and other web-enabled mobile devices has enabled the rapid adoption of platforms like Twitter. Event detection has found many applications on the web, including breaking news identification and ...

This paper investigates how digital traces of people's movements and activities in the physical world (e.g., at college campuses and commutes) may be used to detect local, short-lived events in various urban spaces. Past work that use occupancy-related ...

Networks of online news articles and blog posts are some of the most commonly used data sets in network science. As a result, they have become a vital piece of network analysis and are used for the evaluation of algorithms that work on large networks, ...

People in different regions or times may have different views and therefore may talk about different sub-topics in a social media. Versatility of a topic in this research refers to the degree to which a topic discussed in a social media covers different ...

As the data generated on the internet exponentially increases, developing guided data collection methods become more and more essential to the research process. This paper proposes an approach to building a self-guiding web-crawler to collect data ...

Financial fines imposed by regulatory bodies to penalize illegal activities and violations against regulations (cases of non-compliance) have recently become more common, and the sizes of fines have increased. This development coincides with the ongoing ...

This work explores methods to investigate the structure of knowledge exchange in discussion forums in massive open online courses (MOOCs) explicitly taking into account changing patterns over time. Various aspects of forum analysis combining different ...

The disappearance of important nodes which are prominent characters in a social network may lead the social network to a broken structure. Many previous works have discussed reconstructing such networks using the network topology to devise an approach ...