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It is important task to discover communities or hidden groups by analyzing the messages collected in social networks. For the case when some members of a community are known, a proper method is still necessary to infer the remaining community members. To address such an issue, we develop a closeness centrality examination algorithm to obtain the remaining community members with some known community...
Node mobility and end-to-end disconnections in disruption-tolerant networks (DTNs) greatly impair the effectiveness of data forwarding. Although social-based approaches can address the problem, most existing solutions only focus on forwarding data to a single destination. In this paper, we study multicast with single and multiple data items in DTNs from a social network perspective, develop analytical...
Grouping messaging is one of popular communication tools nowadays in both Internet and telecom network. It can also be viewed as one of optional service features for different applications/services, e.g. instant messaging, chat, file transfer, MMS, SMS and etc. The range or scope of message propagation is normally limited to the boundary of a well defined group. With the rapid evolution of social...
Rheingold and Turkle treated virtual community the same as the community in the traditional sociology counterpart. Facing the huge online community constituted through web2.0 structure, we need to rethink the essential base of a virtual community. Bakhtin's dialogism theory offers us a new interpretation to treat a virtual community as a heteroglossia social network.
In this paper, we propose an efficient dynamic topology reconfiguration method for a service overlay network called ACBP (approximate cluster based policy), which does not require detailed information on future traffic requirements.Instead of the detailed information on future traffic requirements, ACBP utilizes community information of a social network among users for roughly estimating traffic requirements...
The development of blog presents characters of social networks. According to the analyses of networks of friends and visitors in blog communities, the density and centrality are very low. Blog doesnpsilat present apparent trends of centrality. There are many isolated members in blog communities. So currently blog is still merely a platform for Web logging. It hasnpsilat been a media for information...
Opportunistic networking largely relies on human-carried devices as relays to move data across the network. Human altruistic behavior is an important factor in the feasibility and performance of such a system. In this paper, we study the impact of different altruism distributions on the system throughput and delay of opportunistic communications. We evaluate the system performance by utilizing social...
Personalized e-learning is a hot research topic. It can obviously improve the learning efficiency. A perfect e-learning system can recommend right learning content for right learner at right time. In order to find profit contents for different users, a network which describes the relationships among learners is constructed first. Then, the learners owning similar learning interests are found by community...
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