The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network

Marialisa Scatà, Alessandro Di Stefano, Evelina Giacchi, Aurelio La Corte, Pietro Liò

Abstract

Following a bio-inspired approach, applied to multilayer social networks, the idea is to build a novel paradigm aimed to improve methodologies and analysis in the Information and Communication Technologies. The social network and the multilayer structure allow to carry out an analysis of the complex patterns, in terms of the dynamics involving the main entities, nodes and data. The nodes represent the basic kernel from which generating ties, interactions, flow of information, influences and action strategies that affect the communities. The data, gathered from multiple sources, after their integration, will become complex objects, enclosing different kinds of information. The proposed approach introduces a level of abstraction that originates from the evolution of nodes and data transformed in “social objects”. This new paradigm consists of a multilayer social network, divided into three layers, generating an increasing awareness, from “things” to “knowledge”, extracting as much “knowledge” as possible. This paradigm allows to redesign the ICT in a bio-networks driven approach.

References

  1. Aggarwal C. C., 2011. Social Networks Data Analytics, Springer.
  2. Easley D., Kleinberg J., 2010. Networks, Crowds, and Markets: Reasoning about a Highly Connected World, Cambridge Univ. Press.
  3. Fortunato S., 2009. Community Detection in Graphs. In: Physics and Society.
  4. Newman M., Barabasi A. L., Watts D. J., 2009. The Structure and Dynamics of Networks. Princeton Univ. Press, Princeton and Oxford.
  5. Kivelä M., Arenas A., Barthelemy M., Gleeson J., Moreno Y., Porter M. A., 2014. Multilayer networks. In Physics and Society.
  6. Miorandi D., Sicari S., De Pellegrini F., Chlamtac I., 2012. Internet of Things: Vision, Applications and Research Challenges, In: AD HOC Networks, 10(7), pp. 1497- 1516.
  7. Christakis N. A. and Fowler J. H, 2007. The Spread of Obesity in a Large Social Network over 32 Years. In: New England Journal of Medicine, 357, p. 370-379. DOI: 10.1056/NEJMsa066082.
  8. Di Stefano A., Scatà M., La Corte A., 2014. Health Mining: a new a new data fusion and integration paradigm. In CIBB 2014.
  9. Tong B., Stevenson C., 2007. Comorbidity of cardiovascular disease, diabetes and chronic kidney disease in Australia. In Australian Institute of Health and Welfare, Canberra.
  10. Capobianco E. and Liò P., 2013. Comorbidity: a multidimensional approach. In Trends in Molecular Medicine, 19 (9), pp. 515-521.
  11. Islam M. et al., 2014. Multimorbidity and Comorbidity of Chronic Diseases among the Senior Australians: Prevalence and Patterns. In PLoS ONE, 9(1), doi: 10.1371/journal.pone.0083783.
  12. Bagnoli F., Guazzini A., Liò P., 2007. Human heuristics for Autonomous Agents. In BIOWIRE 2007, LNCS 5151, Springer-Verlag, Berlin Heidelberg, 2008, pp. 340-351.
  13. Gorini A. and Pravettoni G., 2011. P5 medicine: a plus for a personalized approach to oncology. In Nature Reviews Clinical Oncology, published online 31 May 2011; doi:10.1038/nrclinonc.2010.227-c1.
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Paper Citation


in Harvard Style

Scatà M., Di Stefano A., Giacchi E., La Corte A. and Liò P. (2014). The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network . In Proceedings of the 5th International Conference on Data Communication Networking - Volume 1: DCNET, (ICETE 2014) ISBN 978-989-758-042-0, pages 41-46. DOI: 10.5220/0005119600410046


in Bibtex Style

@conference{dcnet14,
author={Marialisa Scatà and Alessandro Di Stefano and Evelina Giacchi and Aurelio La Corte and Pietro Liò},
title={The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network},
booktitle={Proceedings of the 5th International Conference on Data Communication Networking - Volume 1: DCNET, (ICETE 2014)},
year={2014},
pages={41-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005119600410046},
isbn={978-989-758-042-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Data Communication Networking - Volume 1: DCNET, (ICETE 2014)
TI - The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network
SN - 978-989-758-042-0
AU - Scatà M.
AU - Di Stefano A.
AU - Giacchi E.
AU - La Corte A.
AU - Liò P.
PY - 2014
SP - 41
EP - 46
DO - 10.5220/0005119600410046