23-05-2012, 04:44 PM
Preserving Relation Privacy in Online Social Network Data
Preserving Relation Privacy in Online Social Network Data.docx (Size: 17.98 KB / Downloads: 25)
Abstract:
OSNs applications, it is a location-based social network services, security and privacy
of OSNs, and human mobility models based on social network OSNs online service site focuses of social networks or social relations among people, e.g., who share interests and activities. A social network service essentially consists of a representation of each user (often a profile), his/her social links, and a variety of additional services. Most social network services are web based and provide means for users to interact over the internet, such as e-mail and instant messaging. Although online community services are sometimes considered as a social network online community services are group-centered. Social networking sites allow users to share ideas, activities, events, and interests within their individual networks.
Introduction
The main concept of the project is to develop a web application portal for students and professionals. Using this portal a network could be build for all the members of this community. Here students and professionals can register and they are given a profile page, where many benefits such as user photos, friends list and community designs could be added and as the result, chatting and messaging friends and members are made simpler in this portal.
The popularity and complexity of online social networks (OSNs) continues to grow unabatedly with the most popular applications featuring hundreds of millions of active users. Ranging from social communities and discussion groups, to recommendation engines, tagging systems, mobile social networks, games, and virtual worlds, OSN applications have not only shifted the focus of application developers to the human factor, but have also transformed traditional application paradigms such as the way users communicate and navigate in the Internet. Indeed, understanding user behavior is now an integral part of online services and applications, with system and algorithm design becoming in effect user-centric. As expected, this paradigm shift has not left the research community unaffected, triggering intense research interest in the analysis of the structure and properties of online communities. While the first phase of OSN research heavily focused on characterizing the properties of the social graph, currently, the research community has shown an increased interest in how basic properties of social network theory can 1) explain observed online human behavior and 2) be exploited to drive the design of algorithms and large-scale distributed systems. Indeed, this second phase of OSN research is also reflected in the current special issue of IEEE Network. The special issue features an ensemble of interesting articles demonstrating the breadth and variety of OSN applications, such as location-based social network services, security and privacy of OSNs, and human mobility models based on social network theory.
Social network analysis has now moved from being a suggestive metaphor to an analytic approach to a paradigm, with its own theoretical statements, methods, social network analysis software, and researchers. Analysts reason from whole to part; from structure to relation to individual; from behavior to attitude. They typically either study whole networks (also known as complete networks), all of the ties containing specified relations in a defined population, or personal networks the ties that specified people have, such as their "personal communities". The distinction between whole/complete networks and personal/egocentric networks has depended largely on how analysts were able to gather data. That is, for groups such as companies, schools, or membership societies, the analyst was expected to have complete information about who was in the network, all participants being both potential egos and alters. Personal/egocentric studies were typically conducted when identities of egos were known, but not their alters. These studies rely on the egos to provide information about the identities of alters and there is no expectation that the various egos or sets of alters will be tied to each other. A snowball network refers to the idea that the alters identified in an egocentric survey then become egos themselves and are able in turn to nominate additional alters. While there are severe logistic limits to conducting snowball network studies, a method for examining hybrid networks has recently been developed in which egos in complete networks can nominate alters otherwise not listed who are then available for all subsequent egos to see. The hybrid network may be valuable for examining whole/complete networks that are expected to include important players beyond those who are formally identified. For example, employees of a company often work with non-company consultants who may be part of a network that cannot fully be defined prior to data collection.
The power of social network analysis stems from its difference from traditional social scientific studies, which assume that it is the attributes of individual actors—whether they are friendly or unfriendly, smart or dumb, etc.—that matter. Social network analysis produces an alternate view, where the attributes of individuals are less important than their relationships and ties with other actors within the network. This approach has turned out to be useful for explaining many real-world phenomena, but leaves less room for individual agency, the ability for individuals to influence their success, because so much of it rests within the structure of their network.
Social networks have also been used to examine how organizations interact with each other, characterizing the many informal connections that link executives together, as well as associations and connections between individual employees at different organizations. For example, power within organizations often comes more from the degree to which an individual within a network is at the center of many relationships than actual job title. Social networks also play a key role in hiring, in business success, and in job performance. Networks provide ways for companies to gather information, deter competition, and collude in setting prices or policies.
Existing System:
• This research we have to analysis to structure and properties of communication
• OSN s it is based location on social network services, security, privacy.
• this method takes up a lot of time in research and building relationships