Data SCIENCE

 

 

Network Science

 

Over-optimization of academic publishing metrics: observing Goodhart’s Law in action

Fire and Guestrin analyzed over 120 million papers to examine how the academic publishing world has evolved over the last century.

  • They found that the number of publications has ceased to be a good metric as a result of longer author lists, shorter papers, and surging publication numbers. Citation-based metrics, such as citation number and h-index, are likewise affected by the flood of papers, self-citations, and lengthy reference lists.

Fire, M., & Guestrin, C. (2019). Over-optimization of academic publishing metrics: observing Goodhart’s Law in action. GigaScience, 8(6), giz053.

It Runs in the Family: Unsupervised Algorithm for Alternative Name Suggestion Using Digitized Family Trees

UNSUPERVISED ANOMALY DETECTION IN GRAPHS UTILIZING A LINK PREDICTION ALGORITHM

image/svg+xml 1 2 3 4 5 6 7 9 8 10 11 0.94
image/svg+xml 1 2 3 4 5 6 7 9 8 10 11 0.94 0.84 0.56 0.12 0.22 0.44 0.16 0.32 0.91 0.72 0.59 0.14 0.23
image/svg+xml 1 2 3 4 5 6 7 9 8 10 11 0.91 0.84 0.76 0.56 0.36 0.16 0.34 0.12 0.32 0.44 0.31
image/svg+xml 1 2 3 4 5 6 7 9 8 10 11 0.91 0.84 0.76 0.56 0.36 0.16 0.34 0.12 0.32 0.44 0.31

USING DATA SCIENCE TO UNDERSTAND GENDER GAP IN THE FILM INDUSTRY

Constructing Movie Social Networks

Constructing Movie Social Networks

Constructing Movie Social Networks

W=W+1

Scientometric Trends for Coronaviruses and Other Emerging Viral Infections

Thank you questions?

https://github.com/data4goodlab/

kagandi@bgu.ac.il

Data4Good Lab

By Dima Kagan

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Data4Good Lab

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