The use of rules in business modeling is becoming more and more important, in applications requiring dynamic change of behavior. A number of rule languages and tools have been proposed to the software engineering community. However, there are not too many visual languages for rule modeling. The goal of this paper is to investigate the modeling capabilities of UML-based Rule Modeling Language (U...

Recent studies show the remarkable power of fine-grained information disclosed by users on social network sites to infer users' personal characteristics via predictive modeling. Similar fine-grained data are being used successfully in other commercial applications. In response, attention is turning increasingly to the transparency that organizations provide to users as to what inferences are dr...

The rapid growth of location-based services (LBSs) has greatly enriched people’s urban lives and attracted millions of users in recent years. Location-based social networks (LBSNs) allow users to check-in at a physical location and share daily tips on points-of-interest (POIs) with their friends anytime and anywhere. Such check-in behavior can make daily real-life experiences spread quickly thr...

Information Science is beginning to develop a theoretical framework for the modeling of users’ interactions with information retrieval (IR) technologies within the more holistic context of human information behavior (Spink, 1998b). This paper addresses the following questions: (1) What is the nature of Information Science? and (2) What theoretical framework and model is most appropriate for Inf...

Applications in virtual multimedia catalogs are highly interactive. Thus, it is difficult to estimate resource demands required for presentation of catalog contents. In this paper, we propose a method to predict presentation resource demands in interactive multimedia catalogs. The prediction is based on the results of mining the virtual mall action log file. The log file typically contains info...

In traditional TV delivery systems, all the channels are pushed toward the subscribers. Therefore, user activities like channel switching have no effect on the provider network. Consequently, TV providers have felt no strong need to analyze and investigate the behavior of their subscribers. In IPTV networks, however, the situation is quite different. Channel switching activity of users imposes ...

With competitive pressure growing in online markets, many Internet stores provide various customer aid functions such as personalized pages to help customers shop more effectively and efficiently. Evaluating such customer aid functions is usually costly because it requires full or partly-working systems and many human testers. In order to address this problem, this research presents a novel app...

We study the dynamics of social networks in terms of population growth and control of user behavior. Most of the current research in social networks focus on static analysis through graph theoretic models to represent the networks or focus on modeling the traffic. Here, we study the cost of collaborative vs individualistic behavior of users in order to grow their network size in a social networ...

Effective analysis of raw data from networked systems requires bridging the semantic gap between the data and the user’s high-level understanding of the system. The raw data represents facts about the system state and analysis involves identifying a set of semantically relevant behaviors, which represent “interesting” relationships between these facts. Current analysis tools, such as wireshark ...

Studies conducted in Western democratic countries with privately owned press presenting news from different ideological perspectives have found the phenomenon of overload causes stress media users (affective load) and this leads to avoidance behavior. This study, conducting a structural equation modeling using AMOS 27, investigates relationships between overload, affective load, consequent beha...