02134nas a2200217   4500008004100000245007800041210006900119260000900188300001400197490000700211520142600218653001801644653001701662653003201679653002501711653001901736100001501755700001301770700001601783856011701799       2014                        eng d00aCampsna: A cloud assisted mobile peer to peer social network architecture0 aCampsna A cloud assisted mobile peer to peer social network arch  c2014  a126 - 1320 v123 aIn 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.10aData exchange10aMobile Cloud10aMobile peer to peer Network10aNetwork Architecture10aSocial Network1 aLiu, Y.-N.1 aTang, H.1 aZhao, G.-F.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84903137451&partnerID=40&md5=eeaa0a8cdbbd54b68c6c7fb395d2169201867nas a2200241   4500008004100000245006400041210006200105260000900167300001400176490000700190520112000197653002001317653001901337653002301356653001901379653002001398653002401418653002201442100001201464700001501476700001701491856011701508       2014                        eng d00aA SEIR model epidemic of virus on the online social network0 aSEIR model epidemic of virus on the online social network  c2014  a102 - 1070 v123 aVigorous development of computer technology has made computers play an integral role in people'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'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.10aComplex network10aComputer virus10aEpidemic spreading10aSocial Network10aSocial networks10aTransmission factor10aVirus propagation1 aMin, Y.1 aQianmu, L.1 aYaoliang, S.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84903186303&partnerID=40&md5=6a9d4aa50e806dcc14698506b1e5b11501232nas a2200217   4500008004100000245007200041210006900113260000900182300001200191490000600203520054500209653002400754653002100778653001900799653001400818653001200832100001400844700001500858700002400873856011700897       2008                        eng d00aComplex query processing on Web graph: A social network perspective0 aComplex query processing on Web graph A social network perspecti  c2008  a12 - 200 v63 aA 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.10aOperator Evaluation10aQuery processing10aSocial Network10aWeb Graph10aXB-tree1 aMitra, S.1 aBagchi, A.1 aBandyopadhyay, A.K.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-56849104350&partnerID=40&md5=3a2ecc369cf5c3b535859eeb8d73c2e0