A DESIGN OF SOCIAL MEDIA ANALYSIS SYSTEM BASED ON MOBILE PLATFORMS
Year 2017,
Volume: 7 , 187 - 191, 08.09.2017
Aysegul Alaybeyoglu
,
Levent Yavuz
Abstract
Along
with the developing technology, social media technologies have become
widespread and the number of internet users has increased rapidly. In addition,
social media platforms have become very popular and the number of active social
media users has increased considerably. As a result of the increased use of
social media, there has been a trend towards mobile platforms. In this paper, a
design of a social media analysis system is developed using mobile platforms
based on Android. By this way, important data about social media users will be able
to gathered and analysed.
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Twitter Streaming API, (2017), https://dev.twitter.com/streaming/overview
Twitter Rest API, (2017), https://dev.twitter.com/rest/public
Twitter OAuth, (2017), https://dev.twitter.com/oauth
Year 2017,
Volume: 7 , 187 - 191, 08.09.2017
Aysegul Alaybeyoglu
,
Levent Yavuz
References
- Oussalah M., Bhat F., Challis K., Schnier T., (2013), A software architecture for Twitter collection, search and geolocation services, Know.-Based Syst. 37, 205-120
Tian Q., LAgissetty J., Li B., (2016), Finding Needles of Interested Tweets in the Haystack of Twitter Network, IEEE International Conference on Advances in Social Networks Analysis and Mining
Black A., Mascaro C., Gallagher M., Goggins S., (2012), Twitter Zombie: Architecture for Capturing, Socially Transforming and Analyzing the Twittersphere
Sakaki T.i Okazaki M., Matsuo Y., (2010), Earthquake shakes Twitter users: real-time event detection by social sensors, In Proceedings of the 19th international conference on World Wide Web (WWW ’10)
Cheng Z., Cavarlee J., Lee K., (2010), You are where you tweet: a content based approach to geo-locating twitter users, In preceedings of thw 19th ACM international conference on Information and knowledge management, pp. 759-768
Demchenko Y., Bernstein D., Belloum A. Oprescu A., Wlodarczyk W., Laat C., (2013), New Instructional Models for Binding Effective Cirricula on Cloud Computing Technologies and Engineering, IEEE International Conference on Cloud Computing Technology and Science
Bisdikian C., Mitschang B., Pedreschi D., Tseng V., (2011), Challenges for Mobile Data Management in the Era of Cloud and Social Computing, IEEE International Conference on Mobile Data Management
Singh T., Darshan V. S., (2015), A Modern Data Architecture with Apache Hadoop, IEEE International Conference on Green Computing and Internet of Things
Manikandan S. G., Ravi S., (2014), Big Data Analysis using Apache Hadoop, IEEE International Conference on IT Convergence and Security
Backhoff O., Ntoutsi E., (2016), Scalable Online-Offline Stream Clustering in Apache Spark, IEEE 16th International Conference on Data Mining Workshop
Maheshwar C. R., Haritha D., (2016), Survey on High Performance Analytics of Bigdata with Apache Spark, IEEE International Conference on Advanced Communication Control and Computing Technologies
Twitter Application Page, (2017), https://apps.twitter.com
Twitter Streaming API, (2017), https://dev.twitter.com/streaming/overview
Twitter Rest API, (2017), https://dev.twitter.com/rest/public
Twitter OAuth, (2017), https://dev.twitter.com/oauth