Albert-László Barabási
Biographic Data
| ID | 918238 |
|---|---|
| NAME | Albert-László Barabási |
| GIVEN NAMES | Albert-László |
| FAMILY NAME | Barabási |
| SIGNATURE | BARABÁSI A |
| AFFILIATIONS | University of Notre Dame |
| ORCID | 0000-0002-4028-3522 |
| VERIFIED | Yes |
| TOTAL WORKS | 31 |
| TOTAL CITATIONS | 94 |
| WORKS AS AUTHOR | 31 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Reproducible science of science at scale
Science of science (SciSci) is a growing field encompassing diverse interdisciplinary research programs that study the processes underlying science. The field has benefited greatly from access to massive digital databases containing the products of scientific discourse—including publications, journals, patents, books, conference proceedings, and grants. The subsequent proliferation of mathematical models and computational techniques for quantifyi…
Give more data, awareness and control to individual citizens, and they will help Covid-19 containment
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by…
Namensregister
Science, advocacy, and quackery in nutritional books
Nutritional decisions may be important for health, and yet identifying trustworthy sources of advice can be difficult to achieve. Many people turn to books for nutritional advice, making the contents of these books and the expertise of their authors relevant to public health. Here, the top 100 best-selling books were identified and assessed for both the claims they make in their summaries and the credentials of the authors. Weight loss was a comm…
Science of science
The whys and wherefores of SciSci The science of science (SciSci) is based on a transdisciplinary approach that uses large data sets to study the mechanisms underlying the doing of science—from the choice of a research problem to career trajectories and progress within a field. In a Review, Fortunato et al. explain that the underlying rationale is that with a deeper understanding of the precursors of impactful science, it will be possible to deve…
Functional structures of US state governments
Significance Understanding of modern government is limited by a lack of comprehensive, reliable, comparable data on what governments do and how they are organized to execute their diverse responsibilities. We demonstrate that such data can be collected from the extensive footprint that governments leave on the Internet, opening a range of unresolved puzzles and questions about modern government to closer empirical inquiry. The online footprint of…
The universal decay of collective memory and attention
Quantifying the evolution of individual scientific impact
Scientific impact—that is the Q Are there quantifiable patterns behind a successful scientific career? Sinatra et al. analyzed the publications of 2887 physicists, as well as data on scientists publishing in a variety of fields. When productivity (which is usually greatest early in the scientist's professional life) is accounted for, the paper with the greatest impact occurs randomly in a scientist's career. However, the process of generating a h…
Universal resilience patterns in complex networks
Returners and explorers dichotomy in human mobility
The availability of massive digital traces of human whereabouts has offered a series of novel insights on the quantitative patterns characterizing human mobility. In particular, numerous recent studies have lead to an unexpected consensus: the considerable variability in the characteristic travelled distance of individuals coexists with a high degree of predictability of their future locations. Here we shed light on this surprising coexistence by…
Quantifying Long-Term Scientific Impact
Citation Grabbers Is there quantifiable regularity and predictability in citation patterns? It is clear that papers that have been cited frequently tend to accumulate more citations. It is also clear that, with time, even the most novel paper loses its currency. Some papers, however, seem to have an inherent “fitness” that can be interpreted as a community's response to the research. Wang et al. (p. 127 ; see the Perspective by Evans ) developed …
A universal model for mobility and migration patterns
Error and attack tolerance of complex networks
Many complex systems display a surprising degree of tolerance against errors.For example, relatively simple organisms grow, persist and reproduce despite drastic pharmaceutical or environmental interventions, an error tolerance attributed to the robustness of the underlying metabolic network [1].Complex communication networks [2] display a surprising degree of robustness: while key components regularly malfunction, local failures rarely lead to t…
Network medicine
The Structure and Dynamics of Networks
From the Internet to networks of friendship, disease transmission, and even terrorism, the concept--and the reality--of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields--including mathematics, physics, computer science, sociology, and biology--have been pursuing these questi…
Modelling the scaling properties of human mobility
Limits of Predictability in Human Mobility
Predictable Travel Routines While people rarely perceive their actions to be random, current models of human activity are fundamentally stochastic. Processes that rely on human mobility patterns, like the prediction of new epidemics, traffic engineering, or city planning, could benefit from highly accurate predictive models. To investigate the predictability of human dynamics, Song et al. (p. 1018 ) used the recorded trajectories of millions of m…
Arts | Humanities | Complex Networks
June 01 2010 Arts | Humanities | Complex Networks Maximilian Schich, Maximilian Schich Search for other works by this author on: This Site Google Scholar Isabel Meirelles, Isabel Meirelles Search for other works by this author on: This Site Google Scholar Albert-LÁszlÓ BarabÁsi Albert-LÁszlÓ BarabÁsi Search for other works by this author on: This Site Google Scholar Author and Article Information Maximilian Schich Isabel Meirelles Albert-LÁszlÓ B…
Scale-Free Networks
For decades, we tacitly assumed that the components of such complex systems as the cell, the society, or the Internet are randomly wired together. In the past decade, an avalanche of research has shown that many real networks, independent of their age, function, and scope, converge to similar architectures, a universality that allowed researchers from different disciplines to embrace network theory as a common paradigm. The decade-old discovery o…
Computational Social Science
A field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors.
Understanding individual human mobility patterns
Structure and tie strengths in mobile communication networks
Electronic databases, from phone to e-mails logs, currently provide detailed records of human communication patterns, offering novel avenues to map and explore the structure of social and communication networks. Here we examine the communication patterns of millions of mobile phone users, allowing us to simultaneously study the local and the global structure of a society-wide communication network. We observe a coupling between interaction streng…
The Product Space Conditions the Development of Nations
Economies grow by upgrading the products they produce and export. The technology, capital, institutions, and skills needed to make newer products are more easily adapted from some products than from others. Here, we study this network of relatedness between products, or “product space,” finding that more-sophisticated products are located in a densely connected core whereas less-sophisticated products occupy a less-connected periphery. Empiricall…
Quantifying social group evolution
The origin of bursts and heavy tails in human dynamics
The Structure and Dynamics of Networks
From the Internet to networks of friendship, disease transmission, and even terrorism, the concept--and the reality--of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields--including mathematics, physics, computer science, sociology, and biology--have been pursuing these questi…
The universal decay of collective memory and attention
Linked
Diameter of the World-Wide Web
Emergence of Scaling in Random Networks
Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well conne…
Error and attack tolerance of complex networks
Linked
Statistical mechanics of complex networks
Complex networks describe a wide range of systems in nature and society. Frequently cited examples include the cell, a network of chemicals linked by chemical reactions, and the Internet, a network of routers and computers connected by physical links. While traditionally these systems have been modeled as random graphs, it is increasingly recognized that the topology and evolution of real networks are governed by robust organizing principles. Thi…
Scale-Free Networks
The origin of bursts and heavy tails in human dynamics
Structure and tie strengths in mobile communication networks
Electronic databases, from phone to e-mails logs, currently provide detailed records of human communication patterns, offering novel avenues to map and explore the structure of social and communication networks. Here we examine the communication patterns of millions of mobile phone users, allowing us to simultaneously study the local and the global structure of a society-wide communication network. We observe a coupling between interaction streng…
The Product Space Conditions the Development of Nations
Economies grow by upgrading the products they produce and export. The technology, capital, institutions, and skills needed to make newer products are more easily adapted from some products than from others. Here, we study this network of relatedness between products, or “product space,” finding that more-sophisticated products are located in a densely connected core whereas less-sophisticated products occupy a less-connected periphery. Empiricall…
Quantifying social group evolution
Understanding individual human mobility patterns
Scale-Free Networks
For decades, we tacitly assumed that the components of such complex systems as the cell, the society, or the Internet are randomly wired together. In the past decade, an avalanche of research has shown that many real networks, independent of their age, function, and scope, converge to similar architectures, a universality that allowed researchers from different disciplines to embrace network theory as a common paradigm. The decade-old discovery o…
Computational Social Science
A field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors.
Modelling the scaling properties of human mobility
Limits of Predictability in Human Mobility
Predictable Travel Routines While people rarely perceive their actions to be random, current models of human activity are fundamentally stochastic. Processes that rely on human mobility patterns, like the prediction of new epidemics, traffic engineering, or city planning, could benefit from highly accurate predictive models. To investigate the predictability of human dynamics, Song et al. (p. 1018 ) used the recorded trajectories of millions of m…
Arts | Humanities | Complex Networks
June 01 2010 Arts | Humanities | Complex Networks Maximilian Schich, Maximilian Schich Search for other works by this author on: This Site Google Scholar Isabel Meirelles, Isabel Meirelles Search for other works by this author on: This Site Google Scholar Albert-LÁszlÓ BarabÁsi Albert-LÁszlÓ BarabÁsi Search for other works by this author on: This Site Google Scholar Author and Article Information Maximilian Schich Isabel Meirelles Albert-LÁszlÓ B…
Error and attack tolerance of complex networks
Many complex systems display a surprising degree of tolerance against errors.For example, relatively simple organisms grow, persist and reproduce despite drastic pharmaceutical or environmental interventions, an error tolerance attributed to the robustness of the underlying metabolic network [1].Complex communication networks [2] display a surprising degree of robustness: while key components regularly malfunction, local failures rarely lead to t…
Network medicine
The Structure and Dynamics of Networks
From the Internet to networks of friendship, disease transmission, and even terrorism, the concept--and the reality--of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields--including mathematics, physics, computer science, sociology, and biology--have been pursuing these questi…
A universal model for mobility and migration patterns
Quantifying Long-Term Scientific Impact
Citation Grabbers Is there quantifiable regularity and predictability in citation patterns? It is clear that papers that have been cited frequently tend to accumulate more citations. It is also clear that, with time, even the most novel paper loses its currency. Some papers, however, seem to have an inherent “fitness” that can be interpreted as a community's response to the research. Wang et al. (p. 127 ; see the Perspective by Evans ) developed …
Returners and explorers dichotomy in human mobility
The availability of massive digital traces of human whereabouts has offered a series of novel insights on the quantitative patterns characterizing human mobility. In particular, numerous recent studies have lead to an unexpected consensus: the considerable variability in the characteristic travelled distance of individuals coexists with a high degree of predictability of their future locations. Here we shed light on this surprising coexistence by…
Quantifying the evolution of individual scientific impact
Scientific impact—that is the Q Are there quantifiable patterns behind a successful scientific career? Sinatra et al. analyzed the publications of 2887 physicists, as well as data on scientists publishing in a variety of fields. When productivity (which is usually greatest early in the scientist's professional life) is accounted for, the paper with the greatest impact occurs randomly in a scientist's career. However, the process of generating a h…
Universal resilience patterns in complex networks
Science of science
The whys and wherefores of SciSci The science of science (SciSci) is based on a transdisciplinary approach that uses large data sets to study the mechanisms underlying the doing of science—from the choice of a research problem to career trajectories and progress within a field. In a Review, Fortunato et al. explain that the underlying rationale is that with a deeper understanding of the precursors of impactful science, it will be possible to deve…
Computer Science (25 works) · Complex Network Analysis Techniques (12 works) · Mathematics (10 works) · Opinion Dynamics and Social Influence (10 works) · Physics (9 works) · Human Mobility and Location-Based Analysis (8 works) · World Wide Web (8 works) · Biology (6 works) · Complex network (6 works) · Data science (6 works)