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
Link To Document