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 :
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