Abstract
Following the boost in popularity of online social networks, both enterprises and researchers looked for ways to access the social dynamics information and user generated content residing in these spaces. This endeavor, however, presented several challenges caused by the heterogeneity of data and the lack of a common way to access them. The SocIoS framework tries to address these challenges by providing tools that operate on top of multiple popular social networks allowing uniform access to their data. It provides a single access point for aggregating data and functionality from the networks, as well as a set of analytical tools for exploiting them. In this paper we present the SocIoS API, an abstraction layer on top of the social networks exposing operations that encapsulate the functionality of their APIs. Currently, the component provides support for seven social networks and is flexible enough to allow for the seamless addition of more.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
The Twitter REST API | Twitter Developers (2014). https://dev.twitter.com/docs/api. Accessed 18 July 2014
Graph API. https://developers.facebook.com/docs/graph-api. Accessed 18 July 2014
YouTube — Google Developers. https://developers.google.com/youtube/. Accessed 18 July 2014
The Source for Social Data - Gnip. http://gnip.com/. Accessed 18 July 2014
Social Media Management Dashboard - Hootsuite. https://hootsuite.com/. Accessed 18 July 2014
DataSift | Powering the Social Economy. http://datasift.com/. Accessed 18 July 2014
+Spaces-Policy Simulation in Virtual Spaces (FP7 EU Funded Research Project). http://www.positivespaces.eu/. Accessed 18 July 2014
Tserpes, K., Jacovi, M., Gardner, M., Triantafillou, A., Cohen, B.: +spaces: Intelligent virtual spaces for egovernment. In: 2010 Sixth International Conference on Intelligent Environments (IE), pp. 318−323 (2010)
Wandhöfer, T., Taylor, S., Alani, H., Joshi, S., Sizov, S., Walland, P., Thamm, M., Bleier, A., Mutschke, P.: Engaging politicians with citizens on social networking sites: the WeGov Toolbox. Int. J. Electron. Gov. Res. 8(3), 22−32, 33 (2012)
WeGov-Where eGovernment meets the eSociety (FP7 EU Funded Research Project). http://www.wegov-project.eu/. Accessed 18 July 2014
SOCIETIES-Self Orchestrating Community Ambient Intelligence Spaces (FP7 EU Funded Research Project). http://www.ict-societies.eu/. Accessed 18 July 2014
Roussaki, I., Kalatzis, N., Liampotis, N., Jennings, E., Kosmides, P., Roddy, M., Lamorte, L., Anagnostou, M.: Enhancing social media with pervasive features. In: Meiselwitz, G. (ed.) SCSM 2014. LNCS, vol. 8531, pp. 265–276. Springer, Heidelberg (2014)
Benevenuto, F., Rodrigues, T., Cha, M., Almeida, V.: Characterizing user behavior in online social networks. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, pp. 49−62. New York, NY, USA (2009)
Tserpes, K., Papadakis, G., Kardara, M., Papaoikonomou, A., Aisopos, F., Sardis, E., Varvarigou, T.: An ontology for social networking sites interoperability. In: 4th International Conference of Knowledge Engineering and Ontology Development (KEOD2012), pp. 245−250 (2012)
Mika, P.: Ontologies are us: a unified model of social networks and semantics. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) The Semantic Web – ISWC 2005, pp. 522–536. Springer, Heidelberg (2005)
OpenSocial Specification 2.5.1. http://opensocial.github.io/spec/trunk/OpenSocial-Specification.xml. Accessed 18 July 2014
Jacovi, M., Guy, I., Kremer-Davidson, S., Porat, S., Aizenbud-Reshef, N.: The perception of others: inferring reputation from social media in the enterprise. In: CSCW 2014 Computer Supported Cooperative Work, pp. 756–766. Baltimore, MD, USA, 15–19 February 2014
Kardara, M., Papadakis, G., Papaoikonomou, T., Tserpes, K., Varvarigou, T.: Influence patterns in topic communities of social media. In: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, p. 10 (2012)
Papaoikonomou, A., Tserpes, K., Kardara, M., Varvarigou, T.: A similarity-based chinese restaurant process for social event detection. In: Working Notes Proceedings of the Mediaeval. 2013 Workshop Barcelona, Spain, October 18−19, CEUR-WS Org ISSN 1613-0073 (2013)
SocIoSEUProject/SocIoS, GitHub. https://github.com/SocIoSEUProject/SocIoS. Accessed 17 July 2014
Gonen, R., Raban, D., Brady, C., Mazor, M.: Increased efficiency through pricing in online labor markets. J. Electron. Commer. Res. 15(1), 58–76 (2014)
Raban, D., Richter, G., Corem, Y.: Harnessing the power of games to enhance organizational knowledge sharing system. In: ILAIS Conference, p. 73. Open University of Israel, 29 June 2011
Acknowledgements
This work has been supported by the RADICAL project (http://www.radical-project.eu) and partly funded by the European Union’s Competitiveness and Innovation Framework Programme under grant agreement no 325138.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Kardara, M., Kalogirou, V., Papaoikonomou, A., Varvarigou, T., Tserpes, K. (2015). SocIoS API: A Data Aggregator for Accessing User Generated Content from Online Social Networks. In: Benatallah, B., et al. Web Information Systems Engineering – WISE 2014 Workshops. WISE 2014. Lecture Notes in Computer Science(), vol 9051. Springer, Cham. https://doi.org/10.1007/978-3-319-20370-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-20370-6_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20369-0
Online ISBN: 978-3-319-20370-6
eBook Packages: Computer ScienceComputer Science (R0)