The structure of world-stock-market network resembles geographical ties

In a recent paper, we studied 40 stock markets from top GDP countries to analyse the correlations and connections between them. As expected, we did observe strong correlations between ups and downs of these markets at the global level. However, when using Random Matrix Theory we detected the sub-communities of this global network, we realisedContinue reading “The structure of world-stock-market network resembles geographical ties”

Semantic Network Analysis of Chinese Social Connection (“Guanxi”) on Twitter

About two months ago, a paper of ours with the above title appeared on Frontiers in Digital Humanities (Big Data). This paper has emerged from my former MSc student at the Oxford Internet Institute, Pu Yan, who is currently working on her PhD in our department. In this paper we combined a network analysis toolContinue reading “Semantic Network Analysis of Chinese Social Connection (“Guanxi”) on Twitter”

What’s the state of the art in understanding Human-Machine Networks?

About a month ago, we finished our 2-year long EC-Horizon2020 project on Human-Machine Networks (HUMANE). The first task of this project was to perform a systematic literature review to see what the state of the art in understanding such systems is. The short answer is that we do not know much! And what we knowContinue reading “What’s the state of the art in understanding Human-Machine Networks?”

The OII Colloquia

I am very happy to announce our new series of seminars at the Oxford Internet Institute (OII), called “The OII Colloquia (TOC)“. The OII Colloquia bring senior speakers from other departments at the University of Oxford to the Oxford Internet Institute to spark conversation around the Internet and society. The word Colloquia (sing.: Colloquium) comes fromContinue reading “The OII Colloquia”

New Paper: Personal Clashes and Status in Wikipedia Edit Wars

Originally posted on HUMANE blog by Milena Tsvetkova. Our study on disagreement in Wikipedia was just published in Scientific Reports (impact factor 5.2). In this study, we find that disagreement and conflict in Wikipedia follow specific patterns. We use complex network methods to identify three kinds of typical negative interactions: an editor confronts another editorContinue reading “New Paper: Personal Clashes and Status in Wikipedia Edit Wars”