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The problem of link prediction has been studied extensively in literature. There are various versions of the link prediction problem e.g., link existence problem, link removal problem, predicting edge weights over time etc. In this paper we describe a new type of link prediction problem called the Internetwork link-prediction problem where the task is to predict links across different networks. Thus...
Mentoring refers to the phenomenon where a more skilled or knowledgeable person helps a less skilled or less knowledgeable person gain skill in a particular domain. In this paper we study the phenomenon of mentoring in a massive multiplayer online role-playing game (MMORPG). We identify four different types of mentoring, which map to several important motivational features. We then measure the social...
Gold farming is a set of illicit practices in which players in massively multiplayer online games gather and distribute virtual goods for real money. Using anonymized data from a popular online game to construct networks of characters involved in gold farming, we examine the trade networks of gold farmers, their trading affiliates, and uninvolved characters at large. Our analysis of these complex...
A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. Our algorithmic approach combines existing anomaly detection procedures with a novel method for computing global statistics using local sufficient statistics. Under a Gaussian assumption, our distributed algorithm is guaranteed to perform as well as its centralized counterpart, a condition...
This paper examines online player performance in EverQuest II, a popular massively multiplayer online role-playing game (MMORPG) developed by Sony Online Entertainment. The study uses the game's player performance data to devise performance metrics for online players. We report three major findings. First, we show that the game's point-scaling system overestimates performances of lower level players...
Massively multiplayer online role playing games (MMORPGs) are computer based games in which players interact with one another in the virtual world. Worldwide revenues for MMORPGs have seen amazing growth in last few years and it is more than a 2 billion dollars industry as per current estimates. Huge amount of revenue potential has attracted several gaming companies to launch online role playing games...
Gold farming refers to the illicit practice of gathering and selling virtual goods in online games for real money. Although around one million gold farmers engage in gold farming related activities, to date a systematic study of identifying gold farmers has not been done. In this paper we use data from the massively-multiplayer online role-playing game (MMORPG) EverQuest II to identify gold farmers...
High assurance systems have evolving requirements and, hence, the definition for assurance requirements should allow evolution. We recommend the use of ontology to capture such evolving requirements. In this paper, we introduce the concept of trustworthiness to include dependability and some additional high assurance attributes. We develop an ontology of trustworthiness aspects and an ontology of...
A social network is defined as a social structure of individuals, who are related (directly or indirectly to each other) based on a common relation of interest, e.g. friendship, trust, etc. Social network analysis is the study of social networks to understand their structure and behavior. Social network analysis has gained prominence due to its use in different applications - from product marketing...
A satisfactory and robust trust model is gaining importance in addressing information overload, and helping users collect reliable information in online communities. Current research on trust prediction strongly relies on a web of trust, which is directly collected from users based on previous experience. However, the web of trust is not always available in online communities and even though it is...
Interpersonal interaction plays an important role in organizational dynamics, and understanding these interaction networks is a key issue for any organization, since these can be tapped to facilitate various organizational processes. However, the approaches of collecting data about them using surveys/interviews are fraught with problems of scalability, logistics and reporting biases, especially since...
Energy is a precious resource in wireless sensor networks as sensor nodes are typically powered by batteries with high replacement cost. This paper presents eSENSE: an energy-efficient stochastic sensing framework for wireless sensor platforms. eSENSE is a node-level framework that utilizes knowledge of the underlying data streams as well as application data quality requirements to conserve energy...
Sensor data streams exhibit unique characteristics such as inherent information uncertainty, intrinsic data sample correlations (both within and across streams) and resource constraints. In this paper, we introduce a new data model, called probabilistic stream relational algebra (PSRA), that extends conventional relational model to capture these new characteristics faced in managing data in sensor...
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