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Users’ online activities serve as a mirror, reflecting their unique personas, affiliations, interests, and hobbies within the real world. Network information dissemination is inherently targeted, as users actively seek information to facilitate precise ...

A group decision-making process is introduced by utilizing the influence model together with a matrix of interpersonal influences and an opinion matrix. The opinion matrix is constructed with the opinions/advice from one group of experts towards the ...

The various parts of the traditional financial supervision and management system can no longer meet the current needs, and further improvement is urgently needed. In this paper, the low-frequency data is regarded as the missing of the high-frequency data, ...

Many social networks are characterized by actors (nodes) holding quantitative opinions about movies, songs, sports, people, colleges, politicians, and so on. These opinions are influenced by network neighbors. Many models have been proposed for such ...

Users' locations are important to many applications such as targeted advertisement and news recommendation. In this paper, we focus on the problem of profiling users' home locations in the context of social network (Twitter). The problem is nontrivial, ...

Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore the characteristics of a social network extracted from multimodal dyadic ...

In this study, we propose the use of specialized influence models to capture the dynamic behavior of a Network-on-Chip (NoC). Our goal is to construct a versatile modeling framework that will help in the development and analysis of distributed and ...

Advertising via social networks is receiving more attention these days. Given a fixed investment (e.g., free samples), a company needs to find out the final probability that users will purchase the product. In this paper we characterize and model ...

As the Internet continues to play an important role in many business applications, it becomes vital to increase the competitive edge by offering geographically tailored contents that reflect the common interests of the geographical region of the web ...

This paper outlines the design of a distributed sensor classification system with abnormality detection intended for groups of people who are participating in coordinated activities. The system comprises an implementation of a distributed Dynamic ...

The rapid growth of the Internet in the recent past has encouraged global deployment of work by an increasing number of organizations around the world, and they are now in a better position to outsource their IT functions to specialist vendors. With the ...

We address the problem of global sensor fusion for the purpose of distributed decision-making, from a control-theoretic perspective. In particular, we introduce a quasi-linear stochastic distributed protocol, using which a network of sensing agents can ...

In this paper, we describe the GroupMedia system, which uses wireless wearable computers to measure audio features, head-movement, and galvanic skin response (GSR) for dyads and groups of interacting people. These group sensor measurements are then used ...