Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-13T03:55:37.020Z Has data issue: false hasContentIssue false
  • English
  • Français

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
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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