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In China, many mobile phone users have become the victim of spam calls and suffered heavy financial loss. Discovering of call spammers can benefit mobile network operators as well as users. In this paper, we propose a time-based graph model and a simple and effective Call Log Rank(CLRank) algorithm with ranking and classification were proposed to find potential call spammers. Experimental results...
Mobile Social Network in Proximity (MSNP) is a new form of social network in which users are capable of interacting with their surroundings via their mobile devices in public mobile peer-to-peer (MP2P) environments. However establishing such an MSNP faces several trust issues. A classic MP2P trust scheme usually requires high amount of data transaction in order to identify the trustworthiness of service/content...
This paper investigates the link prediction problem in location-based social networking services (LBSNS) with protected location history. While former approaches mainly utilize the accurate locations, the relevant data we analyzed are modeled by a location privacy protection model called k-anonymous spatial-temporal cloaking model (KSTCM) which perturbs the location-related records on both temporal...
Mobility pattern of device users plays a crucial role in a wide range of mobile computing applications, including data forwarding, content sharing, information search and advertising. Hence, it is important to characterize the mobility path information of users, so as to accurately predict user mobility. In this paper, we introduce two typical user mobility patterns: standard Markov and semi-Markov...
Identification of social relationships in social networks, especially cell phone networks, has attracted a lot of attention recently. Mobile phones continue to be one of the main methods of communication. Their voice and SMS logs are accessible in network switches and/or telecommunication centers. However, relationships like friendship have been mined from several features that are hard or impossible...
Location based social networking (LBSN) applications are part of a new suite of emerging social networking tools that run on the Web 2.0 platform. LBSN is the convergence between location based services (LBS) and online social networking (OSN). LBSN applications offer users the ability to look up the location of another “friend” remotely using a smart phone, desktop or other device, anytime and anywhere...
As mobile networks expand rapidly to facilitate the rising number of mobile phone population, more mobile social services are being developed and offered. To create an efficient social functionality, characteristics of mobile social network must be studied. Social closeness is one of the basic fundamentals of any kind of social networking. In this paper, closeness in mobile social network is the subject...
This paper presents a social and personal context modeling method on mobile device. It infers userpsilas contexts, such as amity with others and emotional state, from uncertain logs stored in mobile devices using Bayesian networks. Proper services are then provided to the user based on the semantic compatibility between current and past contexts. Here, the contexts are hierarchically matched after...
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