{"id":54,"date":"2017-07-21T15:04:03","date_gmt":"2017-07-21T15:04:03","guid":{"rendered":"http:\/\/pages.di.unipi.it\/desalve\/?p=54"},"modified":"2017-07-21T15:04:03","modified_gmt":"2017-07-21T15:04:03","slug":"an-analysis-of-ego-network-communities-and-temporal-a-affinity-for-online-social-networks","status":"publish","type":"post","link":"https:\/\/pages.di.unipi.it\/desalve\/2017\/07\/21\/an-analysis-of-ego-network-communities-and-temporal-a-affinity-for-online-social-networks\/","title":{"rendered":"An Analysis of Ego Network Communities and Temporal a Affinity for Online Social Networks"},"content":{"rendered":"

The wide diffusion of Online Social Networks (OSNs) presents several advantages, like the definition of simple tools for information sharing and spreading. However, OSNs present also some drawbacks, one of the most important one is the problem of privacy disclosures. Distributed Online Social Networks (DOSNs), which decentralize the control of the social network, have been recently proposed to overcome these issues. The decentralization of the control has issued several challenges, one of the main ones is guaranteeing data availability without relying on a central server. To define users\u2019 data allocation strategies, the knowledge of the structure of the ego network and of the user\u2019 temporal behaviour is required. Unfortunately, the lack of real datasets limits the research in this field. The goal of this paper is the study of the behaviour of users in a real social network in order to define proper strategies to allocate the users\u2019 data on the DOSN nodes. In particular, we present an analysis of the temporal affinity and of the social communities based on a real Facebook dataset.<\/p>\n","protected":false},"excerpt":{"rendered":"

The wide diffusion of Online Social Networks (OSNs) presents several advantages, like the definition of simple tools for information sharing and spreading. However, OSNs present also some drawbacks, one of the most important one is the problem of privacy disclosures. …<\/p>\n

An Analysis of Ego Network Communities and Temporal a Affinity for Online Social Networks<\/span> Read More »<\/a><\/p>\n","protected":false},"author":27,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[23,6,8,5,21,22],"class_list":["post-54","post","type-post","status-publish","format-standard","hentry","category-publications","tag-community-detection","tag-data-availability","tag-dosn","tag-p2p","tag-social-networks","tag-temporal-affinity"],"_links":{"self":[{"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/posts\/54","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/users\/27"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/comments?post=54"}],"version-history":[{"count":1,"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/posts\/54\/revisions"}],"predecessor-version":[{"id":55,"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/posts\/54\/revisions\/55"}],"wp:attachment":[{"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/media?parent=54"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/categories?post=54"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pages.di.unipi.it\/desalve\/wp-json\/wp\/v2\/tags?post=54"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}