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The search for Trendsetters in social networks turned to be a complex research topic that has gained much attention. The work here presented uses big data analytics to find who better spreads the word in a social network and is innovative in their choices. The analysis on the Yelp platform can be divided in three parts: first, we justify the use of Tips frequency as a variable to profile business...
An increasing number of attacks use advanced tactics, techniques and methods to compromise target systems and environments. Such multi-step attacks are often able to bypass existing prevention and detection systems, such as Intrusion Detection Systems (IDSs), firewalls and anti-virus solutions. These security systems either use an anomaly-based or a signature-based detection approach. For systems...
A historically important tradition in exegesis, rooted in a number of scriptural passages, considers the Qur'an to be a self-similar text. This claim, while being sharply debated in literature, has never been independently tested. This paper proposes a strategy to measure self-similarity in classical Arabic texts, based on Leven-shtein distance, within the Self-Similar Qur'an (SSQ) project. The significance...
Social networks and location based social networks have many active users who provide various kind of data, such as where they have been, who their friends are, which items they like more, when they go to a venue. Location, social network and temporal information provided by them can be used by recommendation systems to give more accurate suggestions. Also, recommendation systems can provide dynamic...
People often under or over-estimate their performance on interactive learning experiences with virtual agents, especially when it comes to interpersonal skills such as empathy. To generate more accurate self-assessment of performance, we propose the use of in-action reflective learning opportunities during interactive learning experiences with virtual agents. We conducted a user study in which third-year...
With the proliferation of smart phones, mobile applications (APPs) are increasingly being used for mobile work and entertainment. In order to satisfy people's various demands, there are enormous mobile applications being delivered through different mobile application markets. This brings markets owners huge opportunities and tough challenges simultaneously. It is very difficult to find proper APPs...
A fundamental challenge in controlling the leakage of sensitive information by computer systems is the possibility of correlations between different secrets, with the result that leaking information about one secret may also leak information about a different secret. We explore such leakage, here called Dalenius leakage, within the context of the g-leakage family of leakage measures. We prove a fundamental...
Small and medium enterprises' (SMEs) contribution to the economic growth of a country is widely acknowledged. The shift of consumer's consumption habits from offline to online demands SMEs to adopt e-business. SMEs, on the other hand, despite all the benefits that e-business could offer, have been slow to adopt it. Adding to adoption pressure is the trade liberalization around the world that necessitates...
Appropriately defining and then efficiently calculating similarities from large data sets are often essential in data mining, both for building tractable representations and for gaining understanding of data and generating processes. Here we rely on the premise that given a set of objects and their correlations, each object is characterized by its context, i.e. its correlations to the other objects,...
In order to perform well, an engineer has not only to solve a task but also cope with the environment. This is very important in military operations, where underperforming might have fatal consequences. As a military academy, we have developed ten coping strategies that we use to increase students' ability to perform in military situations. These strategies have been introduced in the education, but...
The efficient management of our daily information in physical and digital information spaces is a well-known problem. Current research on personal information management (PIM) aims to understand and improve organisational and re-finding activities. We present a case study about organisational strategies in cross-media information spaces, consisting of physical as well as digital information. In contrast...
The success of traditional learning is based on the individual use of learning tools, depending on the learners' personality. But modern eLearning is disregarding this major fact. By using learning analytics, this paper examines the correlation between personality traits of the user and preferred learning tools in an eLearning scenario. The investigation is based on a field study with 992 participants...
Cellular systems operate under restrictive constraints of resources including radio channel capacity and network processing capability. The tremendous growth in the cellular data network usage brings operators with unprecedented signaling overloads and threatens the stability of the network. Understanding the characteristics of the subscribers who are resource inefficient has an important significance...
Virtual citizen science (VCS) uses technology like the Internet to give volunteers the chance to participate in real scientific research. The success of VCS projects has prompted researchers to understand what motivates volunteer participation. 199 registered users of Zooniverse, a successful collection of VCS projects, completed a web survey assessing various possible motives for their participation...
Study of the dynamics of longitudinal networks has already attracted enormous research interest. Although dynamics of networks can be captured both at network-level and node / actor-level, the latter has gained less attention in current literature. By following a topological approach (i.e., static topology and dynamic topology) to analyze networks, this paper first proposes a research framework to...
The study aimed to promote understanding the relations between three domains of organizational citizenship behavior (OCBs) and team effectiveness, and the moderating effect of gender between OCBs and team effectiveness. It was examined among 188 state- owned enterprise (SOE) employees in China. Data analyzed using Pearson correlation and hierarchical regression analysis respectively showed that self,...
Context-based communication services analyze user data and offer new and novel services that enhance end user unified communication experience. These services rely on data analysis and machine learning techniques to predict user behavior. In this paper we look at topic modeling as an unsupervised learning tool to categorize user communication data for retrieval. However, modeling topics based on user...
The study investigates the effects of developing students' argumentation skills in traditional classroom learning context and on-line learning environment in two classes comprising 21- to 23-year-old university students in China. The results tentatively indicate that the short term study intervention helped students to promote their argumentation skills in both learning environments. But different...
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