Abstract
Social networks are increasingly used to exchange information. The social users are the main origin of the shared web resources and contents. However, they are also influenced by these shared data. The exchanges and interactions produced are an important element for defining the profiles of these users. In this paper, we investigate modeling of individuals using a user-centered model, in particular the activity and social pressure features. We propose a user profile enrichment approach based on extracted tags from shared resources. Our goal is to link similar users in order to build sub-networks according to users’ profiles. Thus, determining the central and important nodes in the network will establish basis for the web resources recommendation, information diffusion and community resuscitation. Our research will interest doctors’ communities to share their knowledge through network. It will teach the most basic health care information to the patients of certain chronic diseases such as diabetes.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hanneman, R.A., Riddle, M.: Introduction to Social Network Methods. University of California, Berkeley (2005)
Boyd, D., Golder, S., Lotan, G.: Tweet, tweet, retweet: conversational aspects of retweeting on twitter. In: Proceedings of the 2010 43rd Hawaii International Conference on System Sciences, HICSS 2010. IEEE Computer Society (2010)
Suh, B., Hong, L., Pirolli, P., Chi, E.H.: Want to be retweeted? Large scale analytics on factors impacting retweet in twitter network. In: Proceedings of the 2010 IEEE Second International Conference on Social Computing, SOCIALCOM 2010. IEEE Computer Society (2010)
Lagnier, C.: Information Diffusion within the social networks. Diffusion de l’information dans les réseaux sociaux, Intelligence Artificielle. Université de Grenoble (2013)
Wenger, E., McDermott, R., Snyder, W.: Cultivating Communities of Practice: A Guide to Managing Knowledge. Harvard Business School Press, Boston (2002). Amy HI Lee received the MBA degree from the University of British Columbia, Canada
Wenger, E., McDermott, R., Snyder, W.: A Guide to Managing Knowledge: Cultivating Communities of Practice. Harvard Business School Press, Boston (2002)
Ranmuthugala, G., Plumb, J.J., Cunningham, F.C., Georgiou, A., Westbrook, J.I., Braithwaite, J.: How and why are communities of practice established in the healthcare sector? A systematic review of the literature. BMC Health Serv. Res. 11, 273 (2011)
Mačiulienė, M., Skaržauskienė, A.: Emergence of collective intelligence in online communities. J. Bus. Res. 69, 1718–1724 (2016). Mykolas Romeris University, Lithuania
Scarlat, E., Maries, I.: Simulating collective intelligence of communities of practice using agent based methods. In: Agent and Multi-Agent Systems: Technologies and Applications. LNCS, vol. 6070, pp. 305–314 (2010)
Newman, M.E., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. E 69, 026113 (2004)
Hu, J., Wang, B., Tao, Z.: Personalized tag recommendation using social contacts. In: Proceedings of the Workshop SRS 2011, in conjunction with CSCW (2011)
Jäschke, R., Hotho, A., Schmitz, C., Ganter, B., Stumme, G.: Discovering shared conceptualizations in folksonomies. Web Semant. 6, 38–53 (2008)
Mezghani, M., et al.: From the influence of user profile enrichment on buzz propagation in social media. Experiments on delicious. J. Sci. Technol. Inf. Série ISI Ingénierie Systèmes d’Information, Lavoisier 21(4), 67–81 (2016)
Ben Hiba, L.: Evaluating virtual teams in social and collaborative platforms based on SNA and BI analaytics. ENSIAS. Mohammed 5 University (2014)
Vallet, J.: Where Social Networks, Graph Rewriting and Visualisation Meet: Application to Network Generation and Information Diffusion. Other [cs.OH]. Bordeaux University (2017)
Cha, M., Antonio, J., Prez, N., Haddadi, H.: Flash floods and ripples: the spread of media content through the blogosphere. In: Proceedings of the 3rd AAAI International Conference on Weblogs and Social Media, ICWSM 2009 (2009)
Furnham, A., Crump, J.: The Myers-Briggs type indicator (MBTI) and promotion at work. Psychology 6, 1510–1515 (2015). https://doi.org/10.4236/psych.2015.612147
Hasan, O., Habegger, B., Brunie, L., Bennani, N., Damiani, E.: A discussion of privacy challenges in user profiling with big data techniques: the EEXCESS use case. In: 2013 IEEE International Congress on Big Data, pp. 25–30. IEEE (2013)
Meo, P.D., Ferrara, E., Abel, F., Aroyo, L., Houben, G.-J.: Analyzing user behavior across social sharing environments. ACM Trans. Intell. Syst. Technol. (TIST) 5(1), 14 (2014)
Abel, F., Gao, Q., Houben, G.-J., Tao, K.: Semantic enrichment of twitter posts for user profile construction on the social web. In: Extended Semantic Web Conference, pp. 375–389. Springer, Heidelberg (2011)
Benammar, A., Hubert, G., Mothe, J.: Automatic profile reformulation using a local document analysis. In: European Conference on Information Retrieval, pp. 124–134. Springer, Heidelberg (2002)
Qassimi, S., Abdelwahed, E.H., Hafidi, M., Lamrani, R.: Towards an emergent semantic of web resources using collaborative tagging. In: Model and Data Engineering, MEDI 2017. LNCS, vol. 10563. Springer, Cham (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Hafidi, M., Abdelwahed, E.H., Qassimi, S., Lamrani, R. (2019). Clustering and Social Recommendation Applied in Health Community of Practice. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 914. Springer, Cham. https://doi.org/10.1007/978-3-030-11884-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-11884-6_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11883-9
Online ISBN: 978-3-030-11884-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)