Author Luo, Jar-Der
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2012 | Conference Paper
Predicting offline behaviors from online features
Dai, L.; Luo, J.-D.; Fu, X. & Li, Z. (2012)
Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research pp. 17-24. ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research, Beijing, China.
New York, NY, USA: ACM. DOI: https://doi.org/10.1145/2392622.2392625
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2015 | Journal Article
Triadic Closure Pattern Analysis and Prediction in Social Networks
Huang, H. ; Tang, J.; Liu, L.; Luo, J.-D. & Fu, X. (2015)
IEEE Transactions on Knowledge and Data Engineering, 27(12) pp. 3374-3389. DOI: https://doi.org/10.1109/tkde.2015.2453956
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2017 | Book Chapter
Methods for Interdisciplinary Social Network Studies
Fu, X. ; Luo, J.-D.& Boos, M. (2017)
In:Fu, Xiaoming; Luo, Jar-Der; Boos, Margarete (Eds.), Social Network Analysis pp. 1-20. Boca Raton/London/New York: CRC Press. DOI: https://doi.org/10.1201/9781315369594-2
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2017 | Book Chapter
Measurement of Guanxi Circles: Using Qualitative Study to Modify Quantitative Measurement
Luo, J.-D.; Han, X.; Burt, R.; Zhou, C.; Cheng, M.-Y.& Fu, X. (2017)
In:Fu, Xiaoming; Luo, Jar-Der; Boos, Margarete (Eds.), Social Network Analysis pp. 71-104. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press. DOI: https://doi.org/10.1201/9781315369594-5
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2017 | Book Chapter
Information Dissemination in Social-Featured Opportunistic Networks
Li, W. ; Lu, S.; Zhu, K. ; Chen, X.; Nagler, J. & Fu, X. (2017)
In:Fu, Xiaoming; Luo, Jar-Der; Boos, Margarete (Eds.), Social Network Analysis pp. 307-342. Boca Raton/London/New York: CRC Press. DOI: https://doi.org/10.1201/9781315369594-14
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2017 | Book Chapter
How Much Sharing Is Enough? Cognitive Patterns in Building Interdisciplinary Collaborations
Dai, L.& Boos, M. (2017)
In:Fu, Xiaoming; Luo, Jar-Der; Boos, Margarete (Eds.), Social Network Analysis: Interdisciplinary Approaches and Case Studies pp. 41-70. CRC-Press. DOI: https://doi.org/10.1201/9781315369594-4
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2017 | Book Chapter
Analysis and Prediction of Triadic Closure in Online Social Networks
Huang, H. ; Tang, J.; Liu, L.; Luo, J.-D.& Fu, X. (2017)
In:Fu, Xiaoming; Luo, Jar-Der; Boos, Margarete (Eds.), Social Network Analysis pp. 105-136. Boca Raton/London/New York: CRC Press. DOI: https://doi.org/10.1201/9781315369594-6
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2017 | Monograph
Social Network Analysis: Interdisciplinary Approches and Case Studies
Fu, X. ; Luo, J.-D.& Boos, M. (2017)
Boca Raton, Florida: CRC Press.
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2017 | Book Chapter |
How Do Online Social Networks Grow?
Zhu, K. ; Fu, X. ; Li, W. ; Lu, S.& Nagler, J. (2017)
In:Fu, Xiaoming; Luo, Jar-Der; Boos, Margarete (Eds.), Social Network Analysis: Interdisciplinary Approaches and Case. Boca Raton: Taylor & Francis Group. DOI: https://doi.org/10.1371/journal.pone.0100023
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2018 | Conference Paper
A Preliminary Study of E-Commerce User Behavior Based on Mobile Big Data - Invited Paper
Zhao, B.; Huang, H. ; Luo, J.-D.; Wang, X.; Yao, X.; Yahyapour, R. & Zhenxuan, W. et al. (2018)
pp. 1-5. 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal. DOI: https://doi.org/10.1109/VTCSpring.2018.8417710
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2019 | Journal Article |
Big data research guided by sociological theory: a triadic dialogue among big data analysis, theory, and predictive models
Luo, J.-D.; Liu, J.; Yang, K. & Fu, X. (2019)
The Journal of Chinese Sociology, 6(1) art. 11. DOI: https://doi.org/10.1186/s40711-019-0102-4
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2020 | Journal Article
Predicting Tie Strength of Chinese Guanxi by Using Big Data of Social Networks
Gao, X.; Luo, J.-D.; Yang, K.; Fu, X.; Liu, L. & Gu, W. (2020)
Journal of Social Computing, 1(1) pp. 40-52. DOI: https://doi.org/10.23919/JSC.2020.0005
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2021 | Conference Paper
A Data-Driven Analysis of K-12 Students’ Participation and Learning Performance on an Online Supplementary Learning Platform
Zhang, J.; Gao, X.; Chen, H.; Chen, L.; Wang, L.; Luo, J.-D. & Fu, X. (2021)
pp. 1-9. 2021 International Conference on Computer Communications and Networks (ICCCN), Athens, Greece.
IEEE. DOI: https://doi.org/10.1109/ICCCN52240.2021.9522295
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