Call for Contributions:
Special Issue of Journal of Data Science on Advances in Network Data Science
Deadline: October 31, 2021
Journal of Data Science (http://jds-online.org) invites submissions
for a special issue on “Advances in Network Data Science.” Data
science is an interdisciplinary research field utilizing scientific
methods to facilitate knowledge and insights from structured and un-
structured data across a broad range of domains. Network data
(physical or virtual, static or temporal) are proliferating in many
fields, and network data analyses have become a burgeoning research in
the data science community. This special issue is dedicated to the
integration of data science and network analysis. Example topics
include but are not limited to 1) models and methods for networks
motivated by real applications; 2) computing algorithms for massive
network data; 3) practical applications leading to new domain science
discoveries; 4) reviews of classic or emerging network research.
The contributions can be from any branch of data science or related
fields (e.g., mathematics, statistics, epidemiology, economics,
computer science, and social science). The topics from the field of
network analysis include but not limited to community detection,
information diffusion, spatial and temporal patterns, missing data
problems and inference, network topology, and multi-layer networks,
with applications of all kinds of networks (e.g., biological networks,
economic networks, neural networks, the Internet, World Wide Web, and
social networks). Cutting-edge researches in big data, visualization,
machine learning, and artificial intelligence are welcome as well as
classic methodological and applied works. The contributions can target
any of our newly opened sections (Philosophies of Data Science;
Statistical Data Science; Computing in Data Science; Data Science in
Action; Data Science Review; Education in Data Science) or beyond, of
time-sensitivity or lasting impact. All submitted manuscripts must
contain original unpublished work that is not being consid- ered for
publication elsewhere. Submitted manuscripts will go through a
regular, fast (4–6 weeks) review process. Accepted manuscripts will be
published online immediately. To submit, please visit
https://www.e-publications.org/ruc/sbs/JDS/login and mention the
special issue in a cover letter. A tentative deadline is October 31,
2021.
Since 2003, Journal of Data Science has published research works on a
wide range of topics that involve understanding and making effective
use of field data. The journal has been reformed since July 2020 to
better serve the data science community in the era of data science.
Attractive features of the journal are completely free access, fast
review, and reproducible data science. We look forward to receiving
your submissions.
Guest Editors:
Yuguo Chen, Department of Statistics, University of Illinois at Urbana-Champaign
Daniel Sewell, Department of Biostatistics, University of Iowa
Panpan Zhang, Department of Biostatistics, Epidemiology and
Informatics, University of Pennsylvania
Xuening Zhu, School of Data Science, Fudan University