Sune Lehmann
机构: Professor, DTU Compute, Technical University of Denmark and Center for Social Data Science
主页: sunelehmann.com
每年引用次数
引用次数
引用: 12,002
H-指数: 46
I10-指数 : 77
出版物: 139
Visualizing QS Data Using Time Spirals
Andrea Cuttone , Jakob Eg Larsen , Sune Lehmann Jørgensen
Quantified Self Europe Conference (QSEU 2014)
2014
Visualizing multi-channel networks
Andrea Cuttone , Jakob Eg Larsen , Sune Lehmann Jørgensen , Marta Magiera
international conference in central europe on computer graphics and visualization 5 -9
2014
Using data- and network science to reveal iterations and phase-transitions in the design process
Anja Maier , Sebastiano Piccolo , Sune Lehmann Jørgensen
ICED17: 21st International Conference on Engineering Design 11 -21
2017
Robustness and modular structure in networks
JAMES P. BAGROW , SUNE LEHMANN , YONG-YEOL AHN
Network Science 3 ( 04) 509 -525
17
2015
Dissecting the Canon: Visual Subject Co-Popularity Networks in Art Research
Sune Lehmann , Maximilian Schich , Juyong Park
5
2008
A quantitative analysis of indicators of scientific performance
Benny E. Lautrup , Sune Lehmann , Sune Lehmann , Andrew D. Jackson
Scientometrics 76 ( 2) 369 -390
95
2008
Understanding the Demographics of Twitter Users
Alan Mislove , J. Niels Rosenquist , Yong-Yeol Ahn , Sune Lehmann
international conference on weblogs and social media 554 -557
1,046
2011
Community Detection, Current and Future Research Trends.
Sune Lehmann
Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 214 -220
2014
Networks in the Twenty-First Century.
Sune Lehmann
Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 1136 -1141
2014
Understanding Predictability and Exploration in Human Mobility
Andrea Cuttone , Andrea Cuttone , Sune Lehmann , Sune Lehmann
arXiv: Computers and Society
120
2016
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Iyad Rahwan , Alan Mislove , Anders Søgaard , Sune Lehmann
arXiv: Machine Learning
760
2017
Understanding the interplay between social and spatial behaviour
Andrea Baronchelli , Sune Lehmann , Sune Lehmann , Laura Alessandretti
EPJ Data Science 7 ( 1) 1 -17
12
2018
Link communities reveal multi-scale complexity in networks
James P. Bagrow , Yong-Yeol Ahn , Sune Lehmann
2,248
2009
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
Mirco Nanni , Gennady Andrienko , Albert-László Barabási , Chiara Boldrini
arXiv: Computers and Society
54
2020
Self-interested behaviour as a social norm.
Sune Lehmann , Bjarke Mønsted , Kamilla Haworth Buchter
arXiv: Physics and Society
2020
Temporal fidelity in dynamic social networks
Arkadiusz Stopczynski , Arkadiusz Stopczynski , Alex ‘Sandy’ Pentland , Sune Lehmann
European Physical Journal B 88 ( 10) 249
12
2015
Emergence of network effects and predictability in the judicial system.
Enys Mones , Sune Lehmann , Sune Lehmann , Henrik Palmer Olsen
Scientific Reports 11 ( 1) 2740 -2740
1
2021
The effectiveness of backward contact tracing in networks
Laurent Hébert-Dufresne , Enys Mones , Yong-Yeol Ahn , Yong-Yeol Ahn
Nature Physics 17 ( 5) 1 -7
16
2021
Task-specific information outperforms surveillance-style big data in predictive analytics.
David Dreyer Lassen , Sune Lehmann , Sune Lehmann , Valentin Kassarnig
Proceedings of the National Academy of Sciences of the United States of America 118 ( 14)
2021
Trip frequency is key ingredient in new law of human travel
Sune Lehmann , Laura Alessandretti
Nature 593 ( 7860) 515 -516
2021
Arkadiusz Stopczynski Piotr Sapiezynski Yong-Yeol Ahn Alex `Sandy' Pentland Bruno Lepri James Bagrow Alan Mislove Laura Alessandretti vedran sekara Andrew D. Jackson Jari Saramäki Ciro Cattuto Andrea Cuttone Benny Lautrup Jakob Eg Larsen Enys Mones Andreas Bjerre-Nielsen Alain Barrat David Dreyer Lassen Bjarke Mønsted