Zobrazeno 1 - 10
of 827
pro vyhledávání: '"Barabási, Albert‐László"'
Critique between peers plays a vital role in the production of scientific knowledge. Yet, there is limited empirical evidence on the origins of criticism, its effects on the papers and individuals involved, and its visibility within the scientific li
Externí odkaz:
http://arxiv.org/abs/2412.02809
Publikováno v:
Network Neuroscience, Vol 4, Iss 1, Pp 200-216 (2020)
Synthetic lethality, the finding that the simultaneous knockout of two or more individually nonessential genes leads to cell or organism death, has offered a systematic framework to explore cellular function, and also offered therapeutic applications
Externí odkaz:
https://doaj.org/article/376395ab2b9646b0babb976d62c0a119
Autor:
Dorantes-Gilardi, Rodrigo, Ivey, Kerry, Costa, Lauren, Matty, Rachael, Cho, Kelly, Gaziano, John Michael, Barabási, Albert-László
Biobanks advance biomedical and clinical research by collecting and offering data and biological samples for numerous studies. However, the impact of these repositories varies greatly due to differences in their purpose, scope, governance, and data c
Externí odkaz:
http://arxiv.org/abs/2407.01248
The metaverse promises a shift in the way humans interact with each other, and with their digital and physical environments. The lack of geographical boundaries and travel costs in the metaverse prompts us to ask if the fundamental laws that govern h
Externí odkaz:
http://arxiv.org/abs/2404.03071
Autor:
Glover, Cory, Barabási, Albert-László
The links of a physical network cannot cross, which often forces the network layout into non-optimal entangled states. Here we define a network fabric as a two-dimensional projection of a network and propose the average crossing number as a measure o
Externí odkaz:
http://arxiv.org/abs/2403.01328
Autor:
Santolini, Marc, Blondel, Leo, Palmer, Megan J., Ward, Robert N., Jeyaram, Rathin, Brink, Kathryn R., Krishna, Abhijeet, Barabasi, Albert-Laszlo
Teams are a primary source of innovation in science and technology. Rather than examining the lone genius, scholarly and policy attention has shifted to understanding how team interactions produce new and useful ideas. Yet the organizational roots of
Externí odkaz:
http://arxiv.org/abs/2310.19858
References, the mechanism scientists rely on to signal previous knowledge, lately have turned into widely used and misused measures of scientific impact. Yet, when a discovery becomes common knowledge, citations suffer from obliteration by incorporat
Externí odkaz:
http://arxiv.org/abs/2310.16181
Autor:
Pedreschi, Dino, Pappalardo, Luca, Ferragina, Emanuele, Baeza-Yates, Ricardo, Barabasi, Albert-Laszlo, Dignum, Frank, Dignum, Virginia, Eliassi-Rad, Tina, Giannotti, Fosca, Kertesz, Janos, Knott, Alistair, Ioannidis, Yannis, Lukowicz, Paul, Passarella, Andrea, Pentland, Alex Sandy, Shawe-Taylor, John, Vespignani, Alessandro
Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artificial intelligence and complexity science literature. Recommender syst
Externí odkaz:
http://arxiv.org/abs/2306.13723