TY  - JOUR
JF  - Scientific Reports
UR  - https://www.nature.com/articles/s41598-017-10779-z
Y1  - 2017///
KW  - Complex networks; Nonlinear phenomena
AV  - public
TI  - Spatio-Temporal Patterns of the International Merger and Acquisition Network
N2  - This paper analyses the world web of mergers and acquisitions (M&As) using a complex network approach. We use data of
M&As to build a temporal sequence of binary and weighted-directed networks for the period 1995-2010 and 224 countries
(nodes) connected according to their M&As flows (links). We study different geographical and temporal aspects of the international
M&A network (IMAN), building sequences of filtered sub-networks whose links belong to specific intervals of distance
or time. Given that M&As and trade are complementary ways of reaching foreign markets, we perform our analysis using
statistics employed for the study of the international trade network (ITN), highlighting the similarities and differences between
the ITN and the IMAN. In contrast to the ITN, the IMAN is a low density network characterized by a persistent giant component
with many external nodes and low reciprocity. Clustering patterns are very heterogeneous and dynamic. High-income
economies are the main acquirers and are characterized by high connectivity, implying that most countries are targets of a few
acquirers. Like in the ITN, geographical distance strongly impacts the structure of the IMAN: link-weights and node degrees
have a non-linear relation with distance, and an assortative pattern is present at short distances.
PB  - Nature Publishing Group
SN  - 2045-2322
A1  - Duenas, Marco
A1  - Mastrandrea, Rossana
A1  - Barigozzi, Matteo
A1  - Fagiolo, Giorgio
ID  - eprints3857
VL  - 7
ER  -