• DocumentCode
    246176
  • Title

    Techniques for Collecting data in Social Networks

  • Author

    Alfantoukh, Lina ; Durresi, Arjan

  • Author_Institution
    Sch. of Sci., Indiana Univ. Purdue Univ. at Indianapolis, Indianapolis, IN, USA
  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    336
  • Lastpage
    341
  • Abstract
    Data is a piece of information that is needed to form useful information. Obtaining data is needed by individuals such as researchers. From this perspective, data collection is an important step when doing any research or experiment. Data collection can be defined as the process of gathering and processing the information to evaluate the outcomes and use them for the researches. Online Social Networking sites (OSN) are one of the best sources of data. In this paper, we are going to introduce the benefits of using the social network sites for data collection and the different techniques that can be used. We are, also, going to list different techniques for data collection in a project related to "Using Trust Management System in Twitter". The goal was to collect data from Twitter. Those data include users information and Tweets. Based on those data, a network of trust created using the relationships among users. The way the data being collected are different in term of efficiency and being useful.
  • Keywords
    data handling; social networking (online); trusted computing; OSN; Twitter; data collection technique; network of trust; online social networking sites; trust management system; Data collection; Data mining; Facebook; LinkedIn; Stock markets; Twitter; Big Data; Data Collection; Facebook; Social Networking; Stock Market; Twitter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network-Based Information Systems (NBiS), 2014 17th International Conference on
  • Conference_Location
    Salerno
  • Print_ISBN
    978-1-4799-4226-8
  • Type

    conf

  • DOI
    10.1109/NBiS.2014.92
  • Filename
    7023973