Ding Lyu

Ding Lyu
  • Doctor of Engineering
  • China United Network Communications Group

I obtained a Ph.D. under the supervision of Prof. Xiaofan Wang and Prof. Lin Wang at Shanghai Jiao Tong University.

About

9
Publications
867
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124
Citations
Introduction
I obtained a Ph.D. under the supervision of Prof. Xiaofan Wang and Prof. Lin Wang at Shanghai Jiao Tong University and a B.Eng. from Shandong University. I was a visiting graduate student supervised by Prof. Alex Pentland at Media Lab and worked with Yuan Yuan for one year. I major in Computational Social Science, Temporal Network Representation Learning, and Games on Complex Networks .
Education
September 2019 - August 2020
Massachusetts Institute of Technology
Field of study
  • Computational Social Science (visiting graduate student at MIT Media Lab)
September 2017 - September 2024
Shanghai Jiao Tong University
Field of study
  • Control Science and Engineering
September 2013 - June 2017
Shandong University
Field of study
  • Automation

Publications

Publications (9)
Article
Full-text available
Long ties, the social ties that bridge different communities, are widely believed to play crucial roles in spreading novel information in social networks. However, some existing network theories and prediction models indicate that long ties might dissolve quickly or eventually become redundant, thus putting into question the long-term value of long...
Article
Full-text available
Cooperation is a representative altruistic behavior in which individuals contribute public goods to benefit their neighborhoods and even larger communities in social networks. The defective behavior is more likely to bring higher payoffs than the cooperative behavior, which makes the cooperative behavior hard to maintain and sustain. Many mechanism...
Article
Full-text available
Tie transparency, which may provide more unbiased information to deepen mutual understanding, thus builds trust and prompts cooperation in social networks. Little is known, however, about social connections’ transparency. We introduce knowable degree (KD) to characterize the transparency of a social tie, defined as the number of other entities who...
Preprint
Full-text available
Long ties, the social ties that bridge different communities, are widely believed to play crucial roles in spreading novel information in social networks. However, some existing network theories and prediction models indicate that long ties might dissolve quickly or eventually become redundant, thus putting into question the long-term value of long...
Preprint
Full-text available
Limited by the time complexity of querying k-hop neighbors in a graph database, most graph algorithms cannot be deployed online and execute millisecond-level inference. This problem dramatically limits the potential of applying graph algorithms in certain areas, such as financial fraud detection. Therefore, we propose Asynchronous Propagate Attenti...

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