Art. 03 – Vol. 27 – No. 1 – 2017

ONLINE SOCIAL NETWORKS IN THE CONTEXT OF BIG DATA

Dragoş Daniel IORDACHE
iordache@ici.ro
Ionuţ PETRE
ipetre@ici.ro
National Institute for Research & Development of Informatics – ICI Bucharest

Abstract: Online social networks are particularly important in the context of research on “big data” being important sources of information for various fields: social, political, economical, civic and educational. Social networks can provide significant benefits for the communication and relationships between users, as well as useful information for making predictions based on analysis of huge data flow generated by them. In this paper are presented several aspects of two components of present information technology, namely Online Social Networks and Big Data. In this regard, the first part is reserved for a brief introduction. The following sections present a summary of research relevant to social networking Web sites as sources of Big Data. The paper ends with conclusions and directions for future work.

Keywords: Online Social Networks, Big Data, Social Networks Data.

REFERENCES

  1. ASUR, S.; HUBERMAN, B. A.: Predicting the future with social media. In Web Intelligence and Intelligent Agent Technology (WI-IAT). 2010 IEEE/WIC/ACM International Conference on, Vol. 1, IEEE, 2010, pp. 492-499.
  2. BACKSTROM, L.; KLEINBERG, J.: Romantic partnerships and the dispersion of social ties: a network analysis of relationship status on facebook. In Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing, 2014, pp. 831-841.
  3. BELL, S.; MCDIARMID, A.; IRVINE, J.: Nodobo: Mobile phone as a software sensor for social network research. IEEE Xplore. 2011. doi:10.1109/VETECS.2011.5956319.
  4. BRANDTZAEG, P. B.: Social networking sites: Their users and social implications – a longitudinal study. Journal of Computer-Mediated Communication, 17, pp. 467-488, 2012.
  5. FOUCAULT, W. B.; VAN DEVENDER, A.; CONTRACTOR, N.: Is a friend a friend?: Investigating the structure of friendship networks in virtual worlds. In CHI’10 Extended Abstracts on Human Factors in Computing Systems, ACM, 2010, pp. 4027-4032.
  6. GILBERT, E.; KARAHALIOS, K.: Predicting the strength with social media, Proceedings of the 27th international conference on Human factors in computing systems. ACM, Boston, MA, USA, 2009.
  7. GUPTA, A.: Data Analytics and Big Data. 2016. Diponibil online la http://techmodish.blogspot.ro/2016/02/data-analytics-and-big-data.html
  8. HARGITTAI, E.: Is bigger always better? Potential biases of big data derived from social network sites. The ANNALS of the American Academy of Political and Social Science 659.1 (2015): 63-76.
  9. HARGITTAI, E.; LITT, E.: The tweet smell of celebrity success: Explaining variation in Twitter adoption among a diverse group of young adults. New Media & Society 13 (5): 824–42, 2011.
  10. HEIDEMANN, J.; KLIER, M.; PROBST, F.: Online social networks: A survey of a global phenomenon. Computer Networks, 56(18), 2012, pp. 3866-3878.

View full article

  1. IORDACHE, D. D.; PRIBEANU, C.: Exploring the motives of using Facebook – a multidi-mensional approach. Revista Română de Interactiune Om-Calculator 9(1), 2016, pp. 19-34.
  2. JIA, M.; XU, H.; WANG, J.; BAI, Y.; LIU, B.; WANG, J.: Handling big data of online social networks on a small machine. Computational Social Networks. 2015, 2:5, DOI 10.1186/s40649-015-0014-7.
  3. JUNG, Y.; GRAY, R.; LAMPE, C.; ELLISON, N.: Favors from facebook friends: unpacking dimensions of social capital. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems,ACM, 2013, pp.11-20.
  4. LAMANAUSKAS, V.; SLEKIENE, V.; RAGULIENE, L.: Usage of social networking websites: Lithuanian university students’ position. Problems of Education in the 21th Century, 45, 2012, pp. 27-39.2012, pp. 27-39.
  5. LAMPE, C.; WOHN, D. Y.; VITAK, J.; ELLISON, N. B.; WASH, R.: Student use of Facebook for organizing collaborative classroom activities. International Journal of Computer-Supported Collaborative Learning, 6, 2011, pp. 329-47.
  6. LAMPE, C.; ELLISON, N.; STEINFIELD, C.: A Face(book) in the Crowd: Social Searching vs. Social Browsing. In ACM Special Interest Group on Computer-Supported Cooperative Work, (Banff, Canada), ACM Press, 2006 .
  7. MAKASHVILI, M.; UJMAJURIDZE, B.; AMIREJIBI, T.: Gender Difference in the Motives for the Use of Facebook. Asian Journal for Humanities and Social Studies (AJHSS), 1(03), 2013, pp. 130-135.
  8. MANYIKA, J.; CHUI, M.; BROWN, B.; BUGHIN, J.; DOBBS, R.; ROXBURGH, C.; BYERS, A. H.: Big data: The next frontier for innovation, competition, and productivity, 2011.
  9. MARR, B.: Big Data: 20 Mind-Boggling Facts Everyone Must Read. 2015, Accesibil la: https://www.forbes.com/sites/ bernardmarr/2015/09/30/big-data-20-mind-boggling-facts-everyone-must-read/.
  10. MAZMAN, S. G.; USLUEL, Y. K.: Gender differences in using social networks. TOJET: The Turkish Online Journ. of Educational Techn., 10(2), 2011.
  11. MEEKER, M.: INTERNET TRENDS 2015-CODE CONFERENCE. Glokalde, 1(3), 2015.
  12. OBOLER, A.; STEINBERG, G.; STERN, R.: The framing of political NGOs in Wikipedia through criticism elimination. Journal of Information Technology & Politics, volume 7, number 4, 2010, pp. 284–299.
  13. RAZDAN, R.: Empowered by Data and Inspired by Words: Successful Use of Social Media. The social media monthly.
    2015,accesibil la: http://thesocialmediamonthly.com/empowered-data-inspired-words-successful-use-social-media/.
  14. SCHWARTZ, H. A.; EICHSTAEDT, J. C.; KERN, M. L.; DZIURZYNSKI, L.; RAMONES, S. M.; AGRAWAL, M.; UNGAR, L. H.: Personality, gender, and age in the language of social media: The open-vocabulary approach. PloS one, 8(9), e73791, 2013.
  15. WANG, Y.; WIEBE, V.: Big Data Analyses for Collective Opinion Elicitation in Social Networks, 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, 2014.
  16. WILLIAMS, D.; KENNEDY, T. L.; MOORE, R. J.: Behind the avatar: The patterns, practices, and functions of role playing in MMOs. Games and Culture, 6(2), 2011, pp. 171-200.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.