Imperial College London
Professor Henrik Jeldtoft Jensen

Professor Henrik Jeldtoft Jensen

Faculty of Natural Sciences, Department of Mathematics

Senior Research Investigator
 
 
 
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Contact

 

+44 (0)20 7594 9853h.jensen Website

 
 
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Location

 

1201Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Goto:2019:10.1371/journal.pone.0225853,
author = {Goto, H and Viegas, E and Takayasu, H and Takayasu, M and Jensen, HJ},
doi = {10.1371/journal.pone.0225853},
journal = {PLoS One},
pages = {1--16},
title = {Dynamics of essential interaction between firms on financial reports},
url = {http://dx.doi.org/10.1371/journal.pone.0225853},
volume = {14},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Companies tend to publish financial reports in order to articulate strategies, disclose key performance measurements as well as summarise the complex relationships with external stakeholders as a result of their business activities. Therefore, any major changes to business models or key relationships will be naturally reflected within these documents, albeit in an unstructured manner. In this research, we automatically scan through a large and rich database, containing over 400,000 reports of companies in Japan, in order to generate structured sets of data that capture the essential features, interactions and resulting relationships among these firms. In doing so, we generate a citation type network where we empirically observe that node creation, annihilation and link rewiring to be the dominant processes driving its structure and formation. These processes prompt the network to rapidly evolve, with over a quarter of the interactions between firms being altered within every single calendar year. In order to confirm our empirical observations and to highlight and replicate the essential dynamics of each of the three processes separately, we borrow inspiration from ecosystems and evolutionary theory. Specifically, we construct a network evolutionary model where we adapt and incorporate the concept of fitness within our numerical analysis to be a proxy real measure of a company’s importance. By making use of parameters estimated from the real data, we find that our model reliably replicates degree distributions and motif formations of the citation network, and therefore reproducing both macro as well as micro, local level, structural features. This is done with the exception of the real frequency of bidirectional links, which are primarily formed as a result of an entirely separate and distinct process, namely the equity investments from one company into another.
AU  - Goto,H
AU  - Viegas,E
AU  - Takayasu,H
AU  - Takayasu,M
AU  - Jensen,HJ
DO  - 10.1371/journal.pone.0225853
EP  - 16
PY  - 2019///
SN  - 1932-6203
SP  - 1
TI  - Dynamics of essential interaction between firms on financial reports
T2  - PLoS One
UR  - http://dx.doi.org/10.1371/journal.pone.0225853
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000534242500024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0225853
UR  - http://hdl.handle.net/10044/1/85297
VL  - 14
ER  -
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