TY - JOUR AU - Lőrincz, László AU - Juhász, Sándor AU - O. Szabó, Rebeka TI - Business transactions and ownership ties between firms JF - NETWORK SCIENCE J2 - NETWORK SCI VL - 12 PY - 2024 IS - 1 SP - 1 EP - 20 PG - 20 SN - 2050-1242 DO - 10.1017/nws.2023.19 UR - https://m2.mtmt.hu/api/publication/34408246 ID - 34408246 AB - In this study, we investigate the creation and persistence of interfirm ties in a large-scale business transaction network. Business transaction relations (firms buying or selling products or services to each other) are driven by economic motives, but because trust is essential to business relationships, the social connections of owners or the geographical proximity of firms can also influence their development. However, studying the formation of interfirm business transaction ties on a large scale is rare, because of the significant data demand. The business transaction and the ownership networks of Hungarian firms are constructed from two administrative datasets for 2016 and 2017. We show that direct or indirect connections in this two-layered network, including open triads in the business network, contribute to both the creation and persistence of business transaction ties. For our estimations, we utilize log-linear models and emphasize their efficiency in predicting links in such large networks. We contribute to the literature by presenting different patterns of business connections in a nationwide multilayer interfirm network. LA - English DB - MTMT ER - TY - CHAP AU - Lőrincz, László AU - Losonci, Dávid AU - Városiné Demeter, Krisztina AU - Gelei, Andrea AU - Juhász, Sándor TI - Digitalizáció a magyarországi termelő vállalatokban – a kontingenciák és a hálózati jellemzők hatása T2 - Vállalkozáskutatói és elemzői hálózat PB - Mathias Corvinus Collegium CY - Budapest SN - 9786156221117 PY - 2023 SP - 67 EP - 69 PG - 3 UR - https://m2.mtmt.hu/api/publication/34475271 ID - 34475271 LA - Hungarian DB - MTMT ER - TY - BOOK AU - Losonci, Dávid AU - Lőrincz, László AU - Városiné Demeter, Krisztina AU - Juhász, Sándor AU - Gelei, Andrea TI - Digitalization of manufacturing firms – an ego-network perspective PY - 2023 UR - https://m2.mtmt.hu/api/publication/34427458 ID - 34427458 LA - English DB - MTMT ER - TY - JOUR AU - Juhász, Sándor AU - Pintér, Gergő AU - Kovács, Ádám J. AU - Borza, Endre Márk AU - Mónus, Gergely AU - Lőrincz, László AU - Lengyel, Balázs TI - Amenity complexity and urban locations of socio-economic mixing JF - EPJ DATA SCIENCE J2 - EPJ DATA SCI VL - 12 PY - 2023 IS - 1 PG - 18 SN - 2193-1127 DO - 10.1140/epjds/s13688-023-00413-6 UR - https://m2.mtmt.hu/api/publication/34129889 ID - 34129889 AB - Cities host diverse people and their mixing is the engine of prosperity. In turn, segregation and inequalities are common features of most cities and locations that enable the meeting of people with different socio-economic status are key for urban inclusion. In this study, we adopt the concept of economic complexity to quantify the sophistication of amenity supply at urban locations. We propose that neighborhood complexity and amenity complexity are connected to the ability of locations to attract diverse visitors from various socio-economic backgrounds across the city. We construct the measures of amenity complexity based on the local portfolio of diverse and non-ubiquitous amenities in Budapest, Hungary. Socio-economic mixing at visited third places is investigated by tracing the daily mobility of individuals and by characterizing their status by the real-estate price of their home locations. Results suggest that measures of ubiquity and diversity of amenities do not, but neighborhood complexity and amenity complexity are correlated with the urban centrality of locations. Urban centrality is a strong predictor of socio-economic mixing, but both neighborhood complexity and amenity complexity add further explanatory power to our models. Our work combines urban mobility data with economic complexity thinking to show that the diversity of non-ubiquitous amenities, central locations, and the potentials for socio-economic mixing are interrelated. LA - English DB - MTMT ER - TY - JOUR AU - Kovács, Ádám AU - Juhász, Sándor AU - Bokányi, Eszter AU - Lengyel, Balázs TI - Income-related spatial concentration of individual social capital in cities JF - ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE J2 - ENVIRON PLAN B-URBAN VL - 50 PY - 2023 IS - 4 SP - 1072 EP - 1086 PG - 15 SN - 2399-8083 DO - 10.1177/23998083221120663 UR - https://m2.mtmt.hu/api/publication/33157444 ID - 33157444 N1 - Funding Agency and Grant Number: Ministry for Innovation and Technology from the National Research, Development and Innovation Fund of Hungary [UNKP-20-4]; Hungarian National Scientific Fund [OTKA K 138970] Funding text: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund of Hungary (UNKP-20-4). This work was also supported by the Hungarian National Scientific Fund (OTKA K 138970). AB - Social connections that span across diverse urban neighborhoods can support prosperity by mobilizing social capital. However, there is limited evidence on the spatial structure of individual social capital inside cities. This paper demonstrates that social capital measured by online social connections is spatially more concentrated for residents of lower-income neighborhoods than for residents of higher-income neighborhoods. We map the micro-geography of individual online social networks in the 50 largest metropolitan areas of the United States using a large-scale geolocalized Twitter dataset. We analyze the spatial dimension of individual social capital by the share of friends, closed triangles, and share of supported ties within circles of short distance radii (1, 3, 5, and 10 km) around users’ home location. We compare residents from below-median income neighborhoods with above-median income neighborhoods, and find that users living in relatively poorer neighborhoods have a significantly higher share of connections in close proximity. Moreover, their network is more cohesive and supported within a short distance from their home. These patterns prevail across the 50 largest US metropolitan areas with only a few exceptions. The found disparities in the micro-geographic concentration of social capital can feed segregation and income inequality within cities constraining social circles of low-income residents. LA - English DB - MTMT ER - TY - GEN AU - Lőrincz, László AU - Juhász, Sándor AU - O. Szabó, Rebeka TI - Business transactions and ownership ties between firms PY - 2022 PG - 32 UR - https://m2.mtmt.hu/api/publication/33117335 ID - 33117335 LA - English DB - MTMT ER - TY - JOUR AU - Bokányi, Eszter AU - Juhász, Sándor AU - Karsai, Márton AU - Lengyel, Balázs TI - Universal patterns of long-distance commuting and social assortativity in cities JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 11 PY - 2021 PG - 10 SN - 2045-2322 DO - 10.1038/s41598-021-00416-1 UR - https://m2.mtmt.hu/api/publication/32470102 ID - 32470102 LA - English DB - MTMT ER - TY - GEN AU - Tóth, Gergő AU - Juhász, Sándor AU - Elekes, Zoltán AU - Lengyel, Balázs TI - Csapatjáték nagy téttel - A szabadalmi együttműködések szerkezete Európában PY - 2021 UR - https://m2.mtmt.hu/api/publication/32092150 ID - 32092150 LA - Hungarian DB - MTMT ER - TY - GEN AU - Tóth, Gergő AU - Elekes, Zoltán AU - Juhász, Sándor AU - Lengyel, Balázs TI - Repeated collaboration of inventors across European regions PY - 2021 PG - 34 UR - https://m2.mtmt.hu/api/publication/31967666 ID - 31967666 LA - English DB - MTMT ER - TY - JOUR AU - Tóth, Gergő AU - Juhász, Sándor AU - Elekes, Zoltán AU - Lengyel, Balázs TI - Repeated collaboration of inventors across European regions JF - EUROPEAN PLANNING STUDIES J2 - EUR PLAN STUD VL - 29 PY - 2021 IS - 12 SP - 2252 EP - 2272 PG - 21 SN - 0965-4313 DO - 10.1080/09654313.2021.1914555 UR - https://m2.mtmt.hu/api/publication/31967610 ID - 31967610 LA - English DB - MTMT ER -