@article{MTMT:33923463,
	title = {The synergistic effect of the industrial international competitiveness and coopetition network position on market share: evidence from global automobile industry},
	url = {https://m2.mtmt.hu/api/publication/33923463},
	author = {Guan, Feiyang and Wang, Tienan and Sun, Linbing},
	doi = {10.1108/JBIM-08-2022-0388},
	journal-iso = {J BUS IND MARKET},
	journal = {JOURNAL OF BUSINESS & INDUSTRIAL MARKETING},
	volume = {38},
	unique-id = {33923463},
	issn = {0885-8624},
	abstract = {PurposeThis paper aims to examine how the firm's global coopetition network position impacts market share and to explore the multiple moderating effects of trade network strength and structures on the relationship between firm global coopetition network position and market share. Design/methodology/approachThis paper selects global automobile manufacturing firms as samples whose classification is "Automobile" in the Factiva database from 2014 to 2018 and develops the measurement for global coopetition network and trade network by using Ucinet6. Finally, Stata was used for data analysis. FindingsThis paper finds that structural holes and centrality are beneficial to improve global market share. And the trade network strength and structures have positive multiple moderating effects on the relationship between the firm global coopetition network position and market share. Originality/valueThis paper explores industrial international competitiveness according to the intricate trade relations among countries and the impact of industrial international competitiveness on the relationship between global coopetition network position of brand firms and market share. The results of this paper expand the current literature on the relationship between characteristics of coopetition network and trade network.},
	keywords = {Centrality; structural hole; MARKET SHARE; Trade network strength; Trade network structure},
	year = {2023},
	eissn = {2052-1189},
	pages = {2446-2459}
}

@{MTMT:32546209,
	title = {Ego-centered Social Network Characteristics of Patients Suffering from Personality Disorders},
	url = {https://m2.mtmt.hu/api/publication/32546209},
	author = {Berán, Eszter and Unoka, Zsolt},
	booktitle = {A Life in Cognition},
	doi = {10.1007/978-3-030-66175-5_20},
	unique-id = {32546209},
	year = {2022},
	pages = {279-290},
	orcid-numbers = {Unoka, Zsolt/0000-0003-0103-5064}
}

@article{MTMT:32316142,
	title = {Asymptotical state synchronization for the controlled directed complex dynamic network via links dynamics},
	url = {https://m2.mtmt.hu/api/publication/32316142},
	author = {Gao, Peitao and Wang, Yinhe and Liu, Lizhi and Zhang, LiLi and Tang, Xiao},
	doi = {10.1016/j.neucom.2021.03.095},
	journal-iso = {NEUROCOMPUTING},
	journal = {NEUROCOMPUTING},
	volume = {448},
	unique-id = {32316142},
	issn = {0925-2312},
	abstract = {From the perspective of large-scale system, a directed complex dynamic network (DCDN) may be considered as a coupling system of the node subsystem (NS) and the link subsystem (LS). In this paper, by using the outgoing link vector and incoming link vector for DCDN, the dynamics of LS is described by employing the vector differential equation instead of the matrix differential equation. Since the outgoing and incoming link vectors have the stronger geometric intuition, the results in this paper show that this kind model of links can not only reflect the direction of links but also find the dynamic tracking goal of links more easily when the state synchronization of NS emerges. Furthermore, by employing the simple mathematical conditions, the nonlinear controller of NS and the coupling term of LS are proposed to ensure achieving the asymptotical state synchronization for DCDN. Finally, the numerical simulations are given to demonstrate the validity of the results in this paper. (c) 2021 Elsevier B.V. All rights reserved.},
	keywords = {Directed complex dynamic network (DCDN); Node subsystem (NS); Link subsystem (LS); Asymptotical state synchronization; The outgoing and incoming link vectors},
	year = {2021},
	eissn = {1872-8286},
	pages = {60-66}
}