CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Social Media Analytics and Intelligence

by A. Siddhartha Rao, Kunal Jagdale
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 18
Year of Publication: 2018
Authors: A. Siddhartha Rao, Kunal Jagdale
10.5120/ijca2018916302

A. Siddhartha Rao, Kunal Jagdale . Social Media Analytics and Intelligence. International Journal of Computer Applications. 179, 18 ( Feb 2018), 1-6. DOI=10.5120/ijca2018916302

@article{ 10.5120/ijca2018916302,
author = { A. Siddhartha Rao, Kunal Jagdale },
title = { Social Media Analytics and Intelligence },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2018 },
volume = { 179 },
number = { 18 },
month = { Feb },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number18/28965-2018916302/ },
doi = { 10.5120/ijca2018916302 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:55:43.348308+05:30
%A A. Siddhartha Rao
%A Kunal Jagdale
%T Social Media Analytics and Intelligence
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 18
%P 1-6
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recent advances in the internet have helped social media to influence many areas of business, marketing, weather forecasting, communication etc. Social media Analytics has become a vital part of the data analytics as the vast population is involved in social media and immeasurable insights can be taken from their activities in the social media websites. In this paper, we summarise different techniques used to analyze social media activities like tweets, blogs, etc., and to present the pros and cons of each.

References
  1. Sharp, Seena. Competitive intelligence advantage: how to minimize risk, avoid surprises, and grow your business in a changing world. John Wiley & Sons, 2009.
  2. Haklay, Muki, Alex Singleton, and Chris Parker. "Web mapping 2.0: The neogeography of the GeoWeb." Geography Compass 2, no. 6 (2008): 2011-2039.
  3. Ordanini, Andrea, Lucia Miceli, Marta Pizzetti, and Arun Parasuraman. "Crowd-funding: transforming customers into investors through innovative service platforms." Journal of service management 22, no. 4 (2011): 443-470.
  4. Stieglitz, Stefan, and Linh Dang-Xuan. "Social media and political communication: a social media analytics framework." Social Network Analysis and Mining 3, no. 4 (2013): 1277-1291.
  5. Hagel III, John, John Seely Brown, and Lang Davison. The power of pull: How small moves, smartly made, can set big things in motion. Basic Books (AZ), 2012.
  6. Rheingold, Howard. Smart mobs: The next social revolution. Basic books, 2007.
  7. Kaplan, Andreas M., and Michael Haenlein. "Users of the world, unite! The challenges and opportunities of Social Media." Business horizons 53, no. 1 (2010): 59-68.
  8. Geronimo, Michelle. "Online Browsing: Can, Should, and May Companies Combine Online and Offline Data to Learn about You." Hastings Sci. & Tech. LJ 9 (2017): 211.
  9. McGucken, Elliot. "22nets: method, system, and apparatus for building content and talent marketplaces and archives based on a social network." U.S. Patent Application 11/523,309, filed September 19, 2006.
  10. Chen, Chen. "Diffusion Vs. Censorship: An Exploration Into the Use of Social Media by Domestic and International Non-governmental Organizations in Mainland China." PhD diss., University of Florida, 2010.
  11. Melville, Prem, Wojciech Gryc, and Richard D. Lawrence. "Sentiment analysis of blogs by combining lexical knowledge with text classification." In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 1275-1284. ACM, 2009.
  12. Liu, Bing. "Sentiment analysis and opinion mining." Synthesis lectures on human language technologies 5, no. 1 (2012): 1-167.
  13. Parmelee, John H., and Shannon L. Bichard. Politics and the Twitter revolution: How tweets influence the relationship between political leaders and the public. Lexington Books, 2011.
  14. Stieglitz, Stefan, and Linh Dang-Xuan. "Social media and political communication: a social media analytics framework." Social Network Analysis and Mining 3, no. 4 (2013): 1277-1291.
  15. Engel-Cox, Jill A., and Raymond M. Hoff. "Science–policy data compact: use of environmental monitoring data for air quality policy." Environmental Science & Policy 8, no. 2 (2005): 115-131.
  16. Golbeck, Jennifer, Justin M. Grimes, and Anthony Rogers. "Twitter use by the US Congress." Journal of the Association for Information Science and Technology 61, no. 8 (2010): 1612-1621.
  17. Stieglitz, Stefan, and Linh Dang-Xuan. "Political communication and influence through microblogging--An empirical analysis of sentiment in Twitter messages and retweet behavior." In System Science (HICSS), 2012 45th Hawaii International Conference on, pp. 3500-3509. IEEE, 2012.
  18. Larsen, Henrikke Hovda, Johanna Margareta Forsberg, Sigrid Viken Hemstad, Raghava Rao Mukkamala, Abid Hussain, and Ravi Vatrapu. "TV ratings vs. social media engagement: Big social data analytics of the Scandinavian TV talk show Skavlan." In Big Data (Big Data), 2016 IEEE International Conference on, pp. 3849-3858. IEEE, 2016.
  19. Stieglitz, Stefan, and Linh Dang-Xuan. "Social media and political communication: a social media analytics framework." Social Network Analysis and Mining 3, no. 4 (2013): 1277-1291.
  20. Wattal, Sunil, David Schuff, Munir Mandviwalla, and Christine B. Williams. "Web 2.0 and politics: the 2008 US presidential election and an e-politics research agenda." MIS quarterly (2010): 669-688.
  21. Stieglitz, Stefan, and Linh Dang-Xuan. "Emotions and information diffusion in social media—sentiment of microblogs and sharing behavior." Journal of Management Information Systems 29, no. 4 (2013): 217-248.
  22. Star, Susan Leigh, and Karen Ruhleder. "Steps toward an ecology of infrastructure: Design and access for large information spaces." Information systems research 7, no. 1 (1996): 111-134.
  23. Stieglitz, Stefan, and Linh Dang-Xuan. "Social media and political communication: a social media analytics framework." Social Network Analysis and Mining 3, no. 4 (2013): 1277-1291.
  24. Koppenjan, Johannes Franciscus Maria, and Erik-Hans Klijn. Managing uncertainties in networks: a network approach to problem solving and decision making. Psychology Press, 2004.
  25. Kitschelt, Herbert. "Linkages between citizens and politicians in democratic polities." Comparative political studies 33, no. 6-7 (2000): 845-879.
  26. Stieglitz, Stefan, and Linh Dang-Xuan. "Social media and political communication: a social media analytics framework." Social Network Analysis and Mining 3, no. 4 (2013): 1277-1291.
  27. Eisenhardt, Kathleen M. "Making fast strategic decisions in high-velocity environments." Academy of Management journal 32, no. 3 (1989): 543-576.
  28. Chae, Junghoon, Dennis Thom, Harald Bosch, Yun Jang, Ross Maciejewski, David S. Ebert, and Thomas Ertl. "Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition." In Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on, pp. 143-152. IEEE, 2012.
  29. Li, Liyun. "Mining Generic Patterns and Communities from Heterogeneous Network Traffic." PhD diss., Polytechnic Institute of New York University, 2013.
  30. Chae, Junghoon, Dennis Thom, Harald Bosch, Yun Jang, Ross Maciejewski, David S. Ebert, and Thomas Ertl. "Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition." In Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on, pp. 143-152. IEEE, 2012.
  31. Yuan, Ming, Ali Ekici, Zhaosong Lu, and Renato Monteiro. "Dimension reduction and coefficient estimation in multivariate linear regression." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 69, no. 3 (2007): 329-346.
  32. Niles, Travona L. "Academic and Psychological Aspects of Collegiate Cheerleading Participation." PhD diss., Trevecca Nazarene University, 2016.
  33. Chen, Yixin, Guozhu Dong, Jiawei Han, Benjamin W. Wah, and Jianyong Wang. "Multi-dimensional regression analysis of time-series data streams." In Proceedings of the 28th international conference on Very Large Data Bases, pp. 323-334. VLDB Endowment, 2002.
  34. Zaharia, Matei, Tathagata Das, Haoyuan Li, Timothy Hunter, Scott Shenker, and Ion Stoica. "Discretized streams: Fault-tolerant streaming computation at scale." In Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles, pp. 423-438. ACM, 2013.
  35. McKinney, Wes. Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. " O'Reilly Media, Inc.", 2012.
  36. Das, Prajit Kumar. "Context-dependent privacy and security management on mobile devices." Ph. D. Dissertation (2017).
  37. Shafer, Jeffrey, Scott Rixner, and Alan L. Cox. "The hadoop distributed filesystem: Balancing portability and performance." In Performance Analysis of Systems & Software (ISPASS), 2010 IEEE International Symposium on, pp. 122-133. IEEE, 2010.
  38. Shvachko, Konstantin, Hairong Kuang, Sanjay Radia, and Robert Chansler. "The hadoop distributed file system." In Mass storage systems and technologies (MSST), 2010 IEEE 26th symposium on, pp. 1-10. IEEE, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Keywords are your own designated keywords which can be used for easy location of the manuscript using any search engines.

Powered by PhDFocusTM