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Introduction to the special issue on COMPLEX NETWORKS 2018

Published online by Cambridge University Press:  16 July 2020

Hocine Cherifi ,
Luis M. Rocha  and
Stanley Wasserman
Hocine Cherifi*
Affiliation:
1LIB, University of Burgundy, France
Luis M. Rocha
Affiliation:
2Indiana University, USA (e-mails: rocha@indiana.edu, stanwass@indiana.edu)
Stanley Wasserman
Affiliation:
2Indiana University, USA (e-mails: rocha@indiana.edu, stanwass@indiana.edu)
*
*Corresponding author. Email: hocine.cherifi@u-bourgogne.fr
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Abstract

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Information

Type
Introduction
Information
Network Science , Volume 8 , Issue S1: Complex Networks 2018 , July 2020 , pp. S1 - S3
Copyright
© The Author(s), 2020. Published by Cambridge University Press

References

Aiello, L. M., Cherifi, C., Cherifi, H., Lambiotte, R., Lió, P., & Rocha, L. M. (Eds.) (2018a). Complex networks and their applications VII, vol. 1. Studies in Computational Intelligence, vol. 812. Springer Nature Switzerland AG: Springer International Publishing.Google Scholar
Aiello, L. M., Cherifi, C., Cherifi, H., Lambiotte, R., Lió, P., & Rocha, L. M. (Eds.) (2018b). Complex networks and their applications VII, vol. 2. Studies in Computational Intelligence, vol. 813. Springer Nature Switzerland AG: Springer International Publishing.Google Scholar
Arora, V., Guo, D., Dunbar, K. D., & Ventresca, M. (2020). Examining the variability in network populations and its role in generative models. Network Science, 1–22.Google Scholar
Arthur, R. (2020). Modularity and projection of bipartite networks. Physica A: Statistical Mechanics and Its Applications, 549, 124341.CrossRefGoogle Scholar
Bagrow, J. P., & Bollt, E. M. (2019). An information-theoretic, all-scales approach to comparing networks. Applied Network Science, 4(1), 1–22.CrossRefGoogle Scholar
Cann, T. J. B., Weaver, I. S., & Williams, H. T. P. (2020). Is it correct to project and detect? How weighting unipartite projections influences community detection. Network Science, 1–19.Google Scholar
Elmer, T., Chaitanya, K., Purwar, P., & Stadtfeld, C. (2019). The validity of RFID badges measuring face-to-face interactions. Behavior Research Methods, 51(5), 2120–2138.CrossRefGoogle ScholarPubMed
Emmert-Streib, F., Dehmer, M., & Shi, Y. (2016). Fifty years of graph matching, network alignment and network comparison. Information Sciences, 346–347(6), 180–197.CrossRefGoogle Scholar
Hoffman, M., Block, P., Elmer, T., & Stadtfeld, C. (2020). A model for the dynamics of face-to-face interactions in social groups. Network Science, 1–22.Google Scholar
Interdonato, R., Gaetano, R., Lo Seen, D., Roche, M., & Scarpa, G. (2020). Extracting multilayer networks from Sentinel-2 satellite image time series. Network Science, 1–17.Google Scholar
Marjan, M., Zaki, N., & Mohamed, E. A. (2018). Link prediction in dynamic social networks: A literature review. In 2018 IEEE 5th International Congress on Information Science and Technology (CIST) (pp. 200–207).CrossRefGoogle Scholar
Mourchid, Y., El Hassouni, M., & Cherifi, H. (2019a). A general framework for complex network-based image segmentation. Multimedia Tools and Applications, 78(14), 20191–20216.CrossRefGoogle Scholar
Mourchid, Y., Renoust, B., Roupin, O., Văn, L., Cherifi, H., & El Hassouni, M. (2019b). Movienet: A movie multilayer network model using visual and textual semantic cues. Applied Network Science, 4(1), 1–37.CrossRefGoogle Scholar
Tabassum, S., Veloso, B., & Gama, J. (2020). On fast and scalable recurring link's prediction in evolving multi-graph streams. Network Science, 1–17.Google Scholar
Treur, J. (2018). Relating emerging network behaviour to network structure. In Aiello, L. M., Cherifi, C., Cherifi, H., Lambiotte, R., Lió, P., & Rocha, L. M. (Eds.), Complex networks and their applications VII (pp. 619–634). Studies in Computational Intelligence, vol. 1. Springer Nature Switzerland AG: Springer International Publishing.Google Scholar
Treur, J. (2019). Analysis of a network's asymptotic behavior via its structure involving its strongly connected components. Network Science, 1–28.Google Scholar
Treur, J. (2020). Modeling higher order adaptivity of a network by multilevel network reification. Network Science, 1–35.Google Scholar