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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pereira, L. R., Lopes, R. J. & Louçã, J. (2019). A taxonomy of community lifecycle events in temporal networks. In 2019 4th World Conference on Complex Systems (WCCS). (pp. 184-188). Ouarzazate, Morocco: IEEE.
Exportar Referência (IEEE) 
J. L. Pereira et al.,  "A taxonomy of community lifecycle events in temporal networks", in 2019 4th World Conf. on Complex Systems (WCCS), Ouarzazate, Morocco, IEEE, 2019, pp. 184-188
Exportar BibTeX 
@inproceedings{pereira2019_1724491094839,
	author = "Pereira, L. R. and Lopes, R. J. and Louçã, J.",
	title = "A taxonomy of community lifecycle events in temporal networks",
	booktitle = "2019 4th World Conference on Complex Systems (WCCS)",
	year = "2019",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ICoCS.2019.8930777",
	pages = "184-188",
	publisher = "IEEE",
	address = "Ouarzazate, Morocco",
	organization = "IEEE",
	url = "https://ieeexplore.ieee.org/xpl/conhome/8911252/proceeding"
}
Exportar RIS 
TY  - CPAPER
TI  - A taxonomy of community lifecycle events in temporal networks
T2  - 2019 4th World Conference on Complex Systems (WCCS)
AU  - Pereira, L. R.
AU  - Lopes, R. J.
AU  - Louçã, J.
PY  - 2019
SP  - 184-188
DO  - 10.1109/ICoCS.2019.8930777
CY  - Ouarzazate, Morocco
UR  - https://ieeexplore.ieee.org/xpl/conhome/8911252/proceeding
AB  - Communities are one of the most important struc- tural elements of a network. They frequently influence network behavior, which makes their identification especially useful. As a result, community detection has been a popular topic within network science in recent decades. Even more recently, fostered by an increasing availability of time stamped datasets and a pressing realization that most empiric networks are dynamic in nature, temporal networks have attracted increased attention. The time dimension introduces new network constructs and communities are not immune. A community is no longer just a bunch of fixed nodes tightly clustered, but have a life and activity of itself, shedding and gaining nodes, appearing and disappearing on the network. We believe that these dynamic constructs are still lacking a formal, consensual definition. In this article we propose a robust taxonomy of life events for communities and a rules based methodology to clearly parse these events.
ER  -