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Opportunistic Mobile Social Networks
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Over the past few decades, social networks have attracted massive interest from scholars in fields as diverse as sociology, biology, physics, business, politics, and computer science. From these diverse fields, researchers have found that many sys- tems can be represented as networks, and that there is much to be learned by studying those networks. With the rapid growth of the Internet and the web, large-scale social network analysis has become possible for researchers. The most important difference between the traditional and new social networks is that the traditional theories of so- cial networks have not been very concerned with the structure of naturally occurring networks. Traditional social network analysis is deep and elegant, but it is not espe- cially relevant to networks arising in the real world. The emergence of recent mobile devices and their applications have brought about a new landscape in studying social networks.
The recent availability of mobile devices coupled with recent advancements in networking capabilities make opportunistic networks one of the most promising tech- nologies for next-generation mobile applications. Opportunistic networks are com- monly defined as a type of network where communication is challenged by sporadic and intermittent contacts, as well as frequent disconnections and reconnections, and where the assumption of the existence of an end-to-end path between the source and the destination is relinquished. Connectivity disruptions, limited network capac- ity, energy and storage constraints of those participating, mobile devices, and the arbitrary movement of nodes are only a few of the challenges that must be dealt with by the protocol stack. Clearly, current Internet protocols (i.e., the TCP/IP proto- col stack) suffer and can fail under such conditions. Opportunities can be useful for building both ad hoc and delay-tolerant networks for data, but they can also be mined for information about mobility and social structures. However, to do either of these, users need to be persuaded to share resources, either at the information level, which impacts privacy, or at the communications level, which impacts their own network performance
Jie Wu and Yunsheng Wang - Personal Name
1st Edtion
13: 978-1-4665-9495-
NONE
Opportunistic Mobile Social Networks
Management
English
Taylor & Francis Group, LLC
2015
USA
1-534
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