Location-Based Social Networking Data
نویسندگان
چکیده
منابع مشابه
Location: How Users Share and Respond to Location-Based Data on Social Networking Sites
In August 2010 Facebook launched Places, a locationbased service that allows users to check into points of interest and share their physical whereabouts with friends. The friends who see these events in their News Feed can then respond to these check-ins by liking or commenting on them. These data consisting of the places people go and how their friends react to them are a rich, novel dataset. ...
متن کاملSentiment Analysis of Social Networking Data Using Categorized Dictionary
Sentiment analysis is the process of analyzing a person’s perception or belief about a particular subject matter. However, finding correct opinion or interest from multi-facet sentiment data is a tedious task. In this paper, a method to improve the sentiment accuracy by utilizing the concept of categorized dictionary for sentiment classification and analysis is proposed. A categorized dictiona...
متن کاملHangout: A Privacy Preserving Location Based Social Networking Service
As mobile devices enter a new era with high speed connectivity and increasing compute capabilities a new class of applications called social networking applications is being showcased as the next revolution in mobile computing. In this class of applications each user in a social group contributes their knowledge about their surrounding environments and the collective knowledge can then be explo...
متن کاملLocation Based Preference Aware Recommendation Using Sparse Geo Social Networking Data
During the recent past, studies about services that are location-based have been attracting extensive attentions because of the huge number of applications. Amid these, one among the highly active topics happens to be Cloud-oriented Trip Planning that meets personal needs of users. A lot of studies have been proposed related to this topic in literatures. But major portion of them regard only us...
متن کاملIdentifying city center using human travel flows generated from location-based social networking data
Since cities become more complex and some of large cities are likely to be polycentric, a better understanding of cities requires a clear topology that reveals how city centers are spatially distributed and interacted. The identification of city center that aims to find out accurate location of city center or delineate city center with a precise boundary becomes vital. This work attempts to ach...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transportation Research Record: Journal of the Transportation Research Board
سال: 2014
ISSN: 0361-1981,2169-4052
DOI: 10.3141/2430-08