Community Focused Social Network Extraction
نویسندگان
چکیده
A social networking service can become the basis for the information infrastructure of the future. For that purpose, it is important to extract social networks that reflect actual social networks which users have already had. Providing a simple means for users to register their social relations is also important. We propose a method that combines various approaches to extract social networks. Especially, three kinds of networks are extracted: user-registered Know-link networks; Web-mined Web-link networks; and face-to-face Touch-link networks. This paper describes the combination of social network extraction for an eventparticipant community. Analyses on the extracted social networks are
منابع مشابه
Social Topic Models for Community Extraction
With social interaction playing an increasingly important role in the online world, the capability to extract latent communities based on such interactions is becoming vital for a wide variety of applications. However, existing literature on community extraction has largely focused on methods based on the link structure of a given social network. Such link-based methods ignore the content of so...
متن کاملKnowledge Discovery from Online Communities
During recent years, the outstanding growth of social network communities has caught the attention of the research community. A huge amount of user-generated content is shared among community users and gives researchers the unique opportunity to thoroughly investigate social community behavior. Many studies have been focused on both developing models to investigate user and collective behavior ...
متن کاملUser-Interest based Community Extraction in Social Networks
The rapid evolution of modern social networks motivates the design of networks based on users’ interests. Using popular social media such as Facebook and Twitter, we show that this new perspective can generate more meaningful information about the networks. In this paper, we model userinterest based networks by deducing intent from social media activities such as comments and tweets of millions...
متن کاملExtracting Topics with Focused Communities in Multi-dimensional Social Data
Understanding what social media users discuss and what is happening in the real world can be enabled through the automatic analysis and summarization of Online Social Media. Trend Discovery, through the extraction of trending topics, is utilized in marketing campaigns and by companies to identify customer interests and potential new markets. While there is a plethora of techniques to identify t...
متن کاملFlink: Semantic Web technology for the extraction and analysis of social networks
We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic information sources including web pages, emails, publication archives and FOAF profiles. The acquired knowledge is used for the purposes of social network analysis and for generati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006