Email Based Institutional Network Analysis: Applications and Risks
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- Ingo Scholtes & Nicolas Wider & René Pfitzner & Antonios Garas & Claudio J. Tessone & Frank Schweitzer, 2014. "Causality-driven slow-down and speed-up of diffusion in non-Markovian temporal networks," Nature Communications, Nature, vol. 5(1), pages 1-9, December.
- Clemente, G.P. & Grassi, R., 2018. "Directed clustering in weighted networks: A new perspective," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 26-38.
- Ze Li & Duoyong Sun & Renqi Zhu & Zihan Lin, 2017. "Detecting event-related changes in organizational networks using optimized neural network models," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-21, November.
- Petter Holme, 2015. "Modern temporal network theory: a colloquium," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(9), pages 1-30, September.
- Panayotis Christidis & Caralampo Focas, 2019. "Factors Affecting the Uptake of Hybrid and Electric Vehicles in the European Union," Energies, MDPI, vol. 12(18), pages 1-16, September.
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Keywords
social network analysis; email traffic; centrality; closeness; clustering effect; graph theory; complex networks; machine learning; Big Data; organisational dynamics;All these keywords.
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