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Introduction to the Special Issue on Advances in Social Computing
Amit K. Chopra, Erez Shmueli, Vivek K. Singh
Article No.: 11
Social media has become very popular and mainstream, leading to an abundance of content. This wealth of content contains many interactions and conversations that can be analyzed for a variety of information. One such type of information is...
Anonymous or Not? Understanding the Factors Affecting Personal Mobile Data Disclosure
Christos Perentis, Michele Vescovi, Chiara Leonardi, Corrado Moiso, Mirco Musolesi, Fabio Pianesi, Bruno Lepri
Article No.: 13
The wide adoption of mobile devices and social media platforms have dramatically increased the collection and sharing of personal information. More and more frequently, users are called to make decisions concerning the disclosure of their personal...
Eliciting Structured Knowledge from Situated Crowd Markets
Jorge Goncalves, Simo Hosio, Vassilis Kostakos
Article No.: 14
We present a crowdsourcing methodology to elicit highly structured knowledge for arbitrary questions. The method elicits potential answers (“options”), criteria against which those options should be evaluated, and a ranking of the top...
This paper reports a detailed empirical study of interpersonal trust in a multi-relational online social network. This study addresses two main aspects of interpersonal trust: formation and reciprocation. Computational models developed, using...
Measurement Theory-Based Trust Management Framework for Online Social Communities
Yefeng Ruan, Ping Zhang, Lina Alfantoukh, Arjan Durresi
Article No.: 16
We propose a trust management framework based on measurement theory to infer indirect trust in online social communities using trust’s transitivity property. Inspired by the similarities between human trust and measurement, we propose a new...
In the offline world, getting to know new people is heavily influenced by people’s physical context, that is, their current geolocation. People meet in classes, bars, clubs, public transport, and so on. In contrast, first-generation online...
Can We Predict a Riot? Disruptive Event Detection Using Twitter
Nasser Alsaedi, Pete Burnap, Omer Rana
Article No.: 18
In recent years, there has been increased interest in real-world event detection using publicly accessible data made available through Internet technology such as Twitter, Facebook, and YouTube. In these highly interactive systems, the general...
In this work, a three-stage social event detection (SED) framework is proposed to discover events from Flickr-like data. First, multiple bipartite graphs are constructed for the heterogeneous feature modalities to achieve fused features....
Progressive Random Indexing: Dimensionality Reduction Preserving Local Network Dependencies
Michał Ciesielczyk, Andrzej Szwabe, Mikołaj Morzy, Paweł Misiorek
Article No.: 20
The vector space model is undoubtedly among the most popular data representation models used in the processing of large networks. Unfortunately, the vector space model suffers from the so-called curse of dimensionality, a phenomenon where data...
Benjamin Billet, Valérie Issarny
Article No.: 21
Nowadays, various static wireless sensor networks (WSN) are deployed in the environment for many purposes: traffic control, pollution monitoring, and so on. The willingness to open these legacy WSNs to the users is emerging, by integrating them to...
With the fast increase of online services of all kinds, users start to care more about the Quality of Service (QoS) that a service provider can offer besides the functionalities of the services. As a result, QoS-based service selection and...