![](bg7.png)
Cheong, F. and Cheong, C. (2011). Social media data min-
ing: A social network analysis of tweets during the
australian 2010-2011 floods. In Seddon, P. B. and Gre-
gor, S., editors, 15th Pacific Asia Conference on In-
formation Systems (PACIS), pages 1–16. Queensland
University of Technology.
Della Penna, G., Intrigila, B., Magazzeni, D., and Merco-
rio, F. (2010). A PDDL+ benchmark problem: The
batch chemical plant. In Proceedings of the The 20th
International Conference on Automated Planning and
Scheduling (ICAPS 2010), pages 222–225, Toronto,
Canada. AAAI Press.
Dries, A., Nijssen, S., and De Raedt, L. (2009). A query
language for analyzing networks. In Proceedings of
the 18th ACM conference on Information and knowl-
edge management, pages 485–494. ACM.
Eckman, B. A. and Brown, P. G. (2006). Graph data man-
agement for molecular and cell biology. IBM journal
of research and development, 50(6):545–560.
Ediger, D., Jiang, K., Riedy, J., Bader, D. A., Corley, C.,
Farber, R. M., and Reynolds, W. N. (2010). Mas-
sive social network analysis: Mining twitter for social
good. In 39th International Conference on Parallel
Processing, pages 583–593.
Han, J., Haihong, E., Le, G., and Du, J. (2011). Survey on
nosql database. In Pervasive computing and applica-
tions (ICPCA), 2011 6th international conference on,
pages 363–366. IEEE.
Hayes, J. and Gutierrez, C. (2004). Bipartite graphs as in-
termediate model for rdf. In International Semantic
Web Conference, pages 47–61. Springer.
Hoffman, D. L. and Fodor, M. (2010). Can you measure
the roi of your social media marketing? MIT Sloan
Management Review, 52(1):41.
Java, A., Song, X., Finin, T., and Tseng, B. (2007). Why
we twitter: Understanding microblogging usage and
communities. In Proceedings of the 9th WebKDD and
1st SNA-KDD 2007 Workshop on Web Mining and
Social Network Analysis, WebKDD/SNA-KDD ’07,
pages 56–65, New York, NY, USA. ACM.
Kaneko, T. and Yanai, K. (2016). Event photo mining
from twitter using keyword bursts and image cluster-
ing. Neurocomputing, 172:143–158.
Lin, C.-Y., Wu, L., Wen, Z., Tong, H., Griffiths-Fisher,
V., Shi, L., and Lubensky, D. (2012). Social net-
work analysis in enterprise. Proceedings of the IEEE,
100(9):2759–2776.
Mercorio, F. (2013). Model checking for universal planning
in deterministic and non-deterministic domains. AI
Communications, 26(2):257–259.
Mezzanzanica, M., Boselli, R., Cesarini, M., and Merco-
rio, F. (2011). Data quality through model checking
techniques. In Gama, J., Bradley, E., and Hollm
´
en,
J., editors, Intelligent Data Analysis (IDA), Lecture
Notes in Computer Science vol. 7014, pages 270–281.
Springer.
Mezzanzanica, M., Boselli, R., Cesarini, M., and Mercorio,
F. (2013). Automatic synthesis of data cleansing ac-
tivities. In Helfert, M., Francalanci, C., and Filipe, J.,
editors, DATA 2013 - the International Conference on
Data Technologies and Applications, pages 138–149.
SciTePress.
Mezzanzanica, M., Boselli, R., Cesarini, M., and Mercorio,
F. (2015a). A model-based approach for developing
data cleansing solutions. Journal of Data and Infor-
mation Quality (JDIQ), 5(4):13.
Mezzanzanica, M., Boselli, R., Cesarini, M., and Mercorio,
F. (2015b). A model-based evaluation of data quality
activities in KDD. Information Processing & Man-
agement, 51(2):144–166.
Peters, K., Chen, Y., Kaplan, A. M., Ognibeni, B., and
Pauwels, K. (2013). Social media metrics. a frame-
work and guidelines for managing social media. Jour-
nal of interactive marketing, 27(4):281–298.
Real, R. and Vargas, J. M. (1996). The probabilistic basis
of jaccard’s index of similarity. Systematic biology,
45(3):380–385.
Schenker, A., Kandel, A., Bunke, H., and Last, M. (2005).
Graph-theoretic techniques for web content mining,
volume 62. World Scientific.
Stonebraker, M. (2010). Sql databases v. nosql databases.
Communications of the ACM, 53(4):10–11.
Tesoriero, C. (2013). Getting Started with OrientDB. Packt
Publishing Ltd.
Titan (2017). Distributed graph database.
http://titan.thinkaurelius.com/.
Watts, D. J. and Strogatz, S. H. (1998). Collective dynamics
of small-worldnetworks. nature, 393(6684):440–442.
Webber, J. (2012). A programmatic introduction to neo4j.
In Proceedings of the 3rd annual conference on Sys-
tems, programming, and applications: software for
humanity, pages 217–218. ACM.
Yanai, K., Kaneko, T., and Kawano, Y. (2014). Real-time
photo mining from the twitter stream: event photo
discovery and food photo detection. In Multimedia
(ISM), 2014 IEEE International Symposium on, pages
295–302. IEEE.
Zeng, K., Yang, J., Wang, H., Shao, B., and Wang, Z.
(2013). A distributed graph engine for web scale rdf
data. In Proceedings of the VLDB Endowment, vol-
ume 6, pages 265–276. VLDB Endowment.
Zou, L., Chen, L., and
¨
Ozsu, M. T. (2009). Distance-join:
Pattern match query in a large graph database. Pro-
ceedings of the VLDB Endowment, 2(1):886–897.
A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results
349