arXiv subjects

Milan Janosov

Publications and source records attributed to Milan Janosov.

9 recordsLinked to original sources

arXiv2026

How Much of the United States Can Still Host New Hyperscale Data Centers? A Constraint-Based Feasibility Analysis

The rapid expansion of hyperscale data centers, primarily driven by cloud computing and generative AI is placing growing pressure on electricity systems, land, and climate-sensitive infrastructure. While existing maps document where data centers are currently located, a major unanswered question remains: where can hyperscale data centers still be built under present-day physical, infrastructural, and environmental constraints? Here we address this question, focusing on the United States, using a national-scale, constraint-first geospatial framework that infers feasibility from revealed hyperscale siting patterns rather than from demand forecasts or optimization assumptions. By combining power-grid adjacency, environmental limits, land-use constraints, and climatic constraints within a uniform hexagonal spatial system, we estimate the feasible hyperscale hosting capacity. Our presented approaches converge on a limited feasible land envelope, implying a substantial contraction relative to naive land-availability assumptions. Based on observed build-out patterns, we estimate that total physically feasible U.S. hyperscale capacity lies in the tens of gigawatts rather than the hundreds. The results of this piece are intended to support national-scale reasoning about infrastructure feasibility under modern constraints.

physics.soc-ph↗

arXiv2023

Decoding the Manhattan Project's Network: Unveiling Science, Collaboration, and Human Legacy

The Manhattan Project was one of the largest scientific collaborations ever undertaken. It operated thanks to a complex social network of extraordinary minds and it became undoubtedly one of the most remarkable intellectual efforts of human history. It also had devastating consequences during and after the atomic bombings of Hiroshima and Nagasaki. Despite the loss of hundreds of thousands of human lives during the bombing and the subsequent events, the scientific journey itself stands as a testament to human achievement, as highlighted in Christopher Nolan's film portrayal of Oppenheimer.

physics.soc-ph↗

arXiv2023

Genius Cliques: Mapping out the Nobel Network

In this short piece, I delved into the connections of Nobel laureates by applying Network Science methods to and public data collected from Wikipedia. I uncovered the existence of a central "giant component" in the Nobel laureate network, highlighting the core-periphery structure and the disparity in visibility among laureates. I explored the dominance of laureates in the fields of science and humanities, revealing a polarization that contradicts the trend of interdisciplinary research. Furthermore, it the finding sheds light on the underrepresentation of female laureates in certain Nobel Prize categories.

physics.soc-ph↗

arXiv2023

FIFA World Cup 2022 -- The Network Edition

After a long qualifying process packed with surprises (Italy missing out as the reigning European champions) and last minute drama (both Egypt and Peru missed out on penalties), the FIFA World Cup 2022 kicked off on the 20th of November in Qatar. With 32 countries and over 800 players representing nearly 300 clubs globally, it measured up to more than 12 billion EUR in the players' current estimated market value total. In this short piece, we explore what the small and interconnected world of football stars looks like and even make a few efforts and compare success in soccer to social networks.

physics.soc-ph↗

arXiv2022

A Network Map of The Witcher

The Witcher, a fantasy novel series by Andrzej Sapkowski, has inspired multiple computer games and was even launched on Netflix in 2019, with the latest season airing in December 2021. Fictional storylines such as The Witcher, can be well summarized and simplified by network science, extracting the backbone of a complex series of events. In other words, network mapping and data science can transform thousands of pages into one simple, visual, social map. This exemplary visualization also highlights the power of network science by uncovering hidden patterns, such as influencers, hubs, and cliques in the interplay of hundreds of people and their countless encounters. As these methods can be applied to novels and their adaptations as well, they also allow us to compare the original and the adapted pieces, from the cast to the plots. Therefore, in this article, I provide a social network analysis about the societal characteristics of The Witcher, comparing the novels and the TV show.

physics.soc-ph↗

arXiv2021

Network Science Predicts Who Dies Next in Game of Thrones

Social network analysis and machine learning have found countless applications in recent years. As an example, this short project was carried out in 2017 and was followed by some media attention, with the following goal: to bring network science and predictive modeling together on the subject of the popular TV and book series, Game of Thrones, and predict which key characters are likely to meet their ends.

cs.SI↗

arXiv2019

Elites, communities and the limited benefits of mentorship in electronic music

While the emergence of success in creative professions, such as music, has been studied extensively, the link between individual success and collaboration is not yet fully uncovered. Here we aim to fill this gap by analyzing longitudinal data on the co-releasing and mentoring patterns of popular electronic music artists appearing in the annual Top 100 ranking of DJ Magazine. We find that while this ranking list of popularity publishes 100 names, only the top 20 is stable over time, showcasing a lock-in effect on the electronic music elite. Based on the temporal co-release network of top musicians, we extract a diverse community structure characterizing the electronic music industry. These groups of artists are temporally segregated, sequentially formed around leading musicians, and represent changes in musical genres. We show that a major driving force behind the formation of music communities is mentorship: around half of musicians entering the top 100 have been mentored by current leading figures before they entered the list. We also find that mentees are unlikely to break into the top 20, yet have much higher expected best ranks than those who were not mentored. This implies that mentorship helps rising talents, but becoming an all-time star requires more. Our results provide insights into the intertwined roles of success and collaboration in electronic music, highlighting the mechanisms shaping the formation and landscape of artistic elites in electronic music.

physics.soc-ph↗

arXiv2019

Success and luck in creative careers

Luck is considered to be a crucial ingredient to achieve impact in all creative domains, despite their diversity. For instance, in science, the movie industry, music, and art, the occurrence of the highest impact work and of a hot streak within a creative career are very difficult to predict. Are there domains that are more prone to luck than others? Here, we provide new insights on the role of randomness in impact in creative careers in two ways: (i) we systematically untangle luck and individual ability to generate impact in the movie, music, and book industries, and in science, and compare the luck factor between these fields; (ii) we show the limited predictive power of collaboration networks to predict career hits. Taken together, our analysis suggests that luck consistently affects career impact across all considered sectors and improves our understanding in pinpointing the key elements in the prediction of success.

physics.soc-ph↗

arXiv2018

What increases (social) media attention: Research impact, author prominence or title attractiveness?

Do only major scientific breakthroughs hit the news and social media, or does a 'catchy' title help to attract public attention? How strong is the connection between the importance of a scientific paper and the (social) media attention it receives? In this study we investigate these questions by analysing the relationship between the observed attention and certain characteristics of scientific papers from two major multidisciplinary journals: Nature Communication (NC) and Proceedings of the National Academy of Sciences (PNAS). We describe papers by features based on the linguistic properties of their titles and centrality measures of their authors in their co-authorship network. We identify linguistic features and collaboration patterns that might be indicators for future attention, and are characteristic to different journals, research disciplines, and media sources.

cs.SI↗