Research

Collaborative knowledge production across space

The creation of new knowledge is a social phenomenon, in which communication networks play a pivotal role by facilitating the flow and combination of ideas. At ANETI, we are excited to understand the spatial aspect of these processes. We are keen to explore how the dynamics of collaboration networks within and across cities help the mixture of different expertise and facilitate innovation.

Related Publications

D Yankova, M Abbasiharofteh (2026) The role of EU framework programme beneficiaries in regional knowledge networks. Spatial Economic Analysis, online first.
D Yankova, P D'Este (2025) Sticky partnerships or fresh starts? How failed project applications shape organisations’ collaborative behaviour in R&D networks. Industry and Innovation, online first.
D Yankova, P D’Este, M García-Melón (2024) Does repetition equal more of the same? tie strength and thematic orientation in R&D networks. PLoS One, 19(5): e0303912.
D Kogler, A Whittle, K Kim, B Lengyel (2023) Understanding Regional Branching: Knowledge Diversification via Inventor and Firm Collaboration Networks. Economic Geography, 99(5): 471-498.

Structural change and resilience in regions

Networks of firms, industries but also of technologies, skills and occupations in regions inform us about regional outcome in terms of technological and economic progress. This is especially important to understand how collective action can be taken by actors in the region in or how the local economy responses to external shocks. ANETI researchers pioneer new network approaches to understand these processes and to explain how regions develop new specializations through linkages.

Related Publications

H Schuster, A Polleres, J Wachs (2024) Stress-testing road networks and access to medical care. Transportation Research Part A: Policy and Practice, 181: 104017.
Z Elekes, G Tóth, R Eriksson (2024) Regional resilience and the network structure of inter-industry labour flows. Regional Studies, 58(12): 2307-2321.
K M Kiss, L Lőrincz, Zs Csáfordi, B Lengyel (2023) Related adjustment of firm production after demand shocks. PLoS One, 18(1): e0280461.
R Di Clemente, B Lengyel, LF Andersson, R Eriksson (2022) Understanding European integration with bipartite networks of Comparative Advantage. PNAS Nexus, 1(5): pgac262.

Networks of creative and business success

Social and collaboration networks provide access to knowledge and to opportunities; thus, are critical to explain the success of firms, teams, projects, and individuals. We have been using administrative records to describe determinants of career upgrades of employees and productivity growth of firms, and collaboration networks to see how diversity can be paired with efficiency to gain the best outcomes.

Related Publications

C Nast, O Llopis, D Yankova, P D'Este (2025) Sourcing insights elsewhere: The positive influence of academic engagement on scientific impact. Technovation, 139: 103112.
R O Szabó, F Battiston, J Koltai (2024) Faultlines, Familiarity, Communication: Predictors and Moderators of Team Success in Escape Rooms. Small Group Research, 55(2): 330-365.
B Vedres, O Vásárhelyi (2023) Inclusion unlocks the creative potential of gender diversity in teams. Scientific Reports, 13: 13757.
V Ilyés, A Sebők (2023) University peers and career prospects: The impact of university ties on early labor market outcomes. Economics of Education Review, 96: 102456.

Inequality, segregation and society

Social networks provide opportunities but can also preserve and even foster inequalities. Advantages that individuals can get in fragmented networks or in core-periphery structures are unequal. We investigate how urban and network structures, social interactions, and network diffusion are related to dynamics of inequalities.

Related Publications

B Lengyel, E Bokányi, S Juhász (2025) The geography of segregated online social networks in the largest US cities. In D Broitman, K Kopczewska, D Czamanski (eds.) Handbook on Big Data, Artificial Intelligence and Cities (pp. 92-109). Edward Elgar.
J Koltai, L Lőrincz, J Wachs, K Takács (2025) Do diversity and context collapse kill an online social network? Applied Network Science, 10: 26.
B Lengyel, G Tóth, N A Christakis, A Bíró (2024) Antidepressant use in spatial social networks. Science Advances, 10(49): eadr0302.
T Gessler, G Tóth, J Wachs (2022) No country for asylum seekers? How short-term exposure to refugees influences attitudes and voting behavior in hungary. Political Behavior, 44(4): 1813-1841.

Spatial diffusion in social networks

Collective behavior, such as massive adoption of new technologies is a complex social contagion phenomenon. Diffusion of innovation is known to have a strong spatial dependence but how social and collaboration networks contribute to that is less known. ANETI researchers investigate social media platforms, and data from patent documents and scientific publications to better understand this phenomenon.

Related Publications

B Sziklai, B Lengyel (2024) Audience selection for maximizing social influence. Network Science, 12(1): 65-87.
B Sziklai, B Lengyel (2023) Finding early adopters of innovation in social networks. Social Network Analysis and Mining, 13: 4.
E Bokányi, M Novák, Á Jakobi, B Lengyel (2022) Urban hierarchy and spatial diffusion over the innovation life cycle. Royal Society Open Science, 9(5): 211038.
B Lengyel, E Bokányi, R Di Clemente, J Kertész, M C González (2020) The role of geography in the complex diffusion of innovations. Scientific Reports, 10: 15065.

Urban and spatial mobility

By mixing diverse knowledge, cities have become the engines of technological and economic progress. However, segregation by income or ethnic background in residential areas or at visited places pose challenges for inclusive growth. At ANETI, we are investigating the relationship between mobility and mixing in cities by tracing mobile phones, analyzing public transport networks, and by looking at how mixing can help the establishment of bridging connections.

Related Publications

L M Aiello, A Vybornova, S Juhász, M Szell, E Bokányi (2025) Urban highways are barriers to social ties. PNAS, 122(10): e2408937122.
M Gergely, L László (2025) Rural-urban flows determine internal migration structure across scales. Cities, 163: 105992.
G Pintér, B Lengyel (2025) Quantifying barriers of urban mobility. Cities, 167: 106322.
G Pintér (2024) Revealing urban area from mobile positioning data. Scientific Reports, 14: 30948.

Labor markets and skills

Individuals thrive in local economies by benefitting from the skills learned at home, in the school and at workplaces. The skills available locally are critical for firms and for policy as they determine development potentials. We are investigating labor mobility and skill-relatedness networks to understand factors of individual career upgrades and aim to reveal how social connections can facilitate matching demand and supply of skills.

Related Publications

S Juhász, Z Elekes, V Ilyés, F Neffke (2026) Co-location of skill-related suppliers: advancing coagglomeration research using firm-to-firm network data. Journal of Economic Geography, lbag006.
M Henning, R Eriksson, P Garefelt, H Martin, Z Elekes (2025) Job relatedness, local skill coherence and economic performance: a job postings approach. Regional Studies, Regional Science, 12(1): 95–122.
L Czaller, Z Hermann (2022) Return to skills and labour market size. Regional Studies, 57(5): 800-813.
A Baranowska-Rataj, Z Elekes, R Eriksson (2023) Escaping from Low-Wage Employment: The Role of Co-worker Networks. Research in Social Stratification and Mobility, 83: 100747.

Open-source collaboration and business transactions

Economies are thought to be maintained by business transactions and a competitive market framework where companies interact with each other based on strategic interests. On the other hand, open-source collaboration has been applied to the creation of many new technologies. The ongoing ANETI projects are focusing on the spatial dimension of both types of interactions.

Related Publications

S Juhász, J Wachs, J Kaminski, C Hidalgo (2026) The software complexity of nations. Research Policy, 55(3): 105422.
S Daniotti, J Wachs, X Feng, F Neffke (2026) Who is using AI to code? Global diffusion and impact of generative AI. Science, first release.
L Betti, L Gallo, J Wachs, F Battiston (2025) The dynamics of leadership and success in software development teams. Nature Communications, 16: 3956.
L Lőrincz, S Juhász, R O Szabó (2024) Business transactions and ownership ties between firms. Network Science, 12(1): 1-20.