@article {455,
	title = {Campsna: A cloud assisted mobile peer to peer social network architecture},
	journal = {Journal of Digital Information Management},
	volume = {12},
	year = {2014},
	note = {Export Date: 10 July 2014},
	month = {2014},
	pages = {126 - 132},
	abstract = {In the social network, people with same interest construct a group, where people can share their interesting contents. With the popularity of the mobile devices, mobile users can connect to the internet for services such as downloading videos, music and pictures anywhere at any time, which may cause heavy traffic burden on the core network. The service content (eg. video, picture, music) downloaded and shared in the same social network interest group may always be similar, which may lead to repeated traffic transmitted in a short time period; on the other hand, the size of the service content may be very large for a single user, which will take it along time and spend much money to finish a complete service request or sharing. It is necessary to study how to reduce the requests in internet from the mobile users to reduce the flow on the core network, as well as reducing the economic cost and the service time, which is the main motivation of our research. Based on the universal mobile social network architecture, this paper proposed CAMPSNA: a cloud assisted mobile peer to peer social network architecture. In which, the cloud center is introduced to help the mobile devices offloading complex tasks to the cloud. The end devices in the architecture construct a local mobile peer to peer network to share their existing content based on their social relationships to reduce the burden of the cloud center.},
	keywords = {Data exchange, Mobile Cloud, Mobile peer to peer Network, Network Architecture, Social Network},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903137451\&partnerID=40\&md5=eeaa0a8cdbbd54b68c6c7fb395d21692},
	author = {Liu, Y.-N. and Tang, H. and Zhao, G.-F.}
}
@article {446,
	title = {A SEIR model epidemic of virus on the online social network},
	journal = {Journal of Digital Information Management},
	volume = {12},
	year = {2014},
	note = {Export Date: 10 July 2014},
	month = {2014},
	pages = {102 - 107},
	abstract = {Vigorous development of computer technology has made computers play an integral role in people{\textquoteright}s lives, but at the same time propagation of the virus on a computer network also cost a great loss to the people. So the research on the mechanism of computer virus propagation and pointing out the key factors in the propagation of the virus has a significant influence on the prevention of computer virus and can also promote the development of relevant policies. The paper researched the influence of the user re-login frequency, the average number of friends on the user{\textquoteright}s friend list and the initial spread rate of the virus on the social networks during the epidemic of the propagation of the computer virus. By the means of mathematical analysis, an SEIR model to describe the epidemic of the virus on the online social network is established in this paper. The research shows that the re-login frequency of the user and the average friend number of the user would make a significant influence on the virus propagation. The two factors enhance the risk of a virus outbreak in the social network, at the same time.},
	keywords = {Complex network, Computer virus, Epidemic spreading, Social Network, Social networks, Transmission factor, Virus propagation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903186303\&partnerID=40\&md5=6a9d4aa50e806dcc14698506b1e5b115},
	author = {Min, Y. and Qianmu, L. and Yaoliang, S.}
}
@article {163,
	title = {Complex query processing on Web graph: A social network perspective},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):2Export Date: 10 July 2014},
	month = {2008},
	pages = {12 - 20},
	abstract = {A social network represents a social community as a directed graph. Communication on the Web has given rise to social network formation like, Web Community, Referral System etc. An earlier effort has proposed a data model for such Web-based social network. Present paper discusses the relevant index structures for processing queries on a social network schema based upon the proposed data model. The paper has also provided evaluation of the structural operators proposed in the data model and discussed their efficacy with query examples.},
	keywords = {Operator Evaluation, Query processing, Social Network, Web Graph, XB-tree},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-56849104350\&partnerID=40\&md5=3a2ecc369cf5c3b535859eeb8d73c2e0},
	author = {Mitra, S. and Bagchi, A. and Bandyopadhyay, A.K.}
}
