7) In "The Historical Social Network of Chinese Buddhism", Marcus Bingenheimer collects and analyzes a large dataset (c. 17,5k actors, c. 25k ties) based on biographical literature and the Buddhist Person Authority Database. The dataset spans the late 3rd to early 20th c.

- to showcase its potential for research. https://t.co/qdwDCyc8An

... which can make use of the database.
https://t.co/mX0SnpjuFI

10) Baptiste Blouin, Pierre Magistry and Nora Van den Bosch turn to Wikipedia and the biographical information contained therein. Using Natural Language Processing methods, they extract data from more than 300k biographies collected from the Chinese and English Wikipedia. -

And 3)
https://t.co/g7PW2STEQ8

The article explains how and why the data was collected, addresses the problems and limitations of the dataset and sketches out the possibilities for future research. The data is published on GitHub (CC BY-SA 4.0) and ready for use. https://t.co/kiEJN0kqTm

6) Marilyn Levine's article is devoted to "Post-WWI Chinese Revolutionary Leaders in Europe": an exploration of a leadership network of 133 Chinese revolutionary leaders trained in Europe or the USSR during 1920s.

8) Michael Fuller and Hongsu Wang turn to the China Biographical Database (CBD), a relational database of over 450k individual from pre-modern Chinese history, to present an overview of its capacities and potentials for further research.
https://t.co/JShHfMXZZJ

The article employs quantitative, geospatial and SNA methods to study these two groups and their interactions. https://t.co/9ZUDD7rDbd

In this article, they describe their methodology for building this dataset, first using automatic text classification to detect biographies and then using Named Entity Recognition to generate metadata. They then go on to highlight several avenues of future research ...

9) Matthias Arnold and Henrike Rudolph collect "Network Data in the Early Chinese Periodicals Online Database" (ECOP), a repository of textual and visual sources from the Republican period (1912-1949). They introduce this database, hosted at the University of Heidelberg, -

4) Cécile Armand and Christian Henriot study social relations in the Biographical Dictionary of Republican China, combining natural language processing techniques and SNA to make the underlying structure of the Dictionary explicit: https://t.co/4nfn9uubiG

The article analyzes co-occurence of political frameworks and terms related to nation-building in their respective writings, using quantitative literature analysis.

2) Then: https://t.co/i8cMHoYCwC

5) Anne Chao, Shandong Liu and Qiwei Li study the writings of two influential public intellectuals in 19/20th c. China, Liang Qichao and Chen Duxiu, in their article "Network of Words": https://t.co/IKD5o3Kgoh

1) First, to recap: https://t.co/8KJwaj5YhO

Blast from the past - some more articles from our #hnr special issue on China: https://t.co/5W1SWUob0P

A 🧵

[HNR] Registration open/Programme online: GrapHNR 2023, July 18–21, Mainz - https://t.co/QNZdVBTpYm

RT @questoph: Look at that! We have an open call for contributions for an edited volume/special issue on “Data Science and History: Practicing and Theorizing Data-Driven Inquiries into the Past”.

cc @CaitlinBurge95 @martenduering Gabor Toth @C2DH_LU @cucolab

https://t.co/1usJAQnJwm

RT @HNR_org: 🚨

New publication! In "'Taking time seriously'.
An empirical approach to an American merchant network at the end of the 18th century", Louis Bissieres investigates the evolution of an American merchant network at the end of the eighteenth century. /1

https://t.co/iASj8VoT3S