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A DESIGN OF SOCIAL MEDIA ANALYSIS SYSTEM BASED ON MOBILE PLATFORMS

Yıl 2017, Cilt: 7 , 187 - 191, 08.09.2017

Öz

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.

Kaynakça

  • 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
Yıl 2017, Cilt: 7 , 187 - 191, 08.09.2017

Öz

Kaynakça

  • 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
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Bölüm Articles
Yazarlar

Aysegul Alaybeyoglu

Levent Yavuz Bu kişi benim

Yayımlanma Tarihi 8 Eylül 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 7

Kaynak Göster

APA Alaybeyoglu, A., & Yavuz, L. (2017). A DESIGN OF SOCIAL MEDIA ANALYSIS SYSTEM BASED ON MOBILE PLATFORMS. The Eurasia Proceedings of Educational and Social Sciences, 7, 187-191.