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Opportunistic Mobile Social Networks (MSNs) are a type of delay-tolerant networks that are composed of mobile nodes with social characteristics. Most of current research on forwarding algorithms for MSNs leverages the properties of social networks, such as community and centrality. However, the fundamental property, interaction, has not received sufficient attention. The effects of interactions consist...
In this paper, we present a new carpooling recommendation system whose main objective is to find the best carpool matchings and recommend individuals to join their friends during trips or travels. The proposed recommendation system utilizes user's mobility history and user social network information to find carpool matchings. The proposed system employs a probabilistic model based on continuous time...
Resource discovery strategy is an important part of mobile peer-to-peer network. How to response the users' query rapidly and effectively is related to the efficiency and the performance of the mobile P2P system. In this survey, we give an overview of the background and the characteristics of mobile P2P networks. We also provide a classification for mobile P2P networks, and review the corresponding...
In the past years, mobile Internet has witnessed a flourish of various social networking applications. To well understand traffic characteristics of social networking applications and potential impact on mobile networks, we set up an experiment mobile network and analyzed the dynamic traffic behavior of the popular social networking applications in East Asia by typical smartphones. It is observed...
The digitization of social networks has enabled the passive collection of large scale data, which in turn have fostered social studies that have been traditionally dependent on small scale, interview-based data. During the last years, a new class of digital social networks has emerged, namely, location-based social networks (LBSNs). The main interaction between users of an LBSN is location sharing,...
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...
We evaluate an algorithm that efficiently computes short paths in social networks by exploiting their spatial component. The main idea is very simple and builds upon Milgram's seminal social experiment, where target individuals were found by having participants forward, or route, messages towards the target. Motivated by the somewhat surprising success of this experiment, Klein berg introduced a model...
Location-based mobile applications such as Foursquare help bridge the gap between offline and online. People that we encounter and connect with around physical resources such as meetings, provide opportunities for extending our social networks. We investigate how social connections can be established and integrated with workplace resources using location through our application called Find & Connect,...
Individual mobility is a popular research topic in mobile communications. One interesting question is: is the movement of human-beings independent although they may not want to follow with each other? This paper explores the phenomenon of group movement by analyzing the traffic variance among cellular base stations. We find that the entropy of group movement is less than the sum of individual's and...
Compression enables communicating information with a smaller amount of data and, in some cases, also saves energy in mobile environments. In order to achieve this we formalize conditions for energy efficient compression. In a basic compression case the condition is ec/(1-C) ≤ Eb. It defines compression to be efficient, if the compression energy cost for the gained compression on the left hand side...
Social networking is increasingly becoming a popular means of communication for online users. The trend is also true for offline scenarios where people use their mobile phones to network with nearby buddies. In this paper, we propose a distributed tuple space for social networking on ad hoc networks. We describe the tuple space model and its operations, and give evidence of its advantages for ad hoc...
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