- Published on 30 July 2013
Physicists can use their tools to help understand how, in real life, opinions form and change by modelling the complex interactions between information and emotion
Social phenomena fascinate with their complexity, but are not easily understood. Pawel Sobkowicz, an independent researcher based in Warsaw, Poland, has developed a model to study the dynamic of standard people, called ‘agents’, and their response to a given piece of information, depending on their emotional state. In a study just published in EPJ B, the author shows that opinion dynamics differ depending on whether the agent is agitated or not.
- Published on 18 July 2013
Study shows that the order of events taking place in complex networks may dramatically alter the way diffusion occurs
The Internet, motorways and other transport systems, and many social and biological systems are composed of nodes connected by edges. They can therefore be represented as networks. Scientists studying diffusion over such networks over time have now identified the temporal characteristics that affect their diffusion pathways. In a paper just published in EPJ B, Renaud Lambiotte and Lionel Tabourier from the University of Namur, Belgium, together with Jean-Charles Delvenne from the Catholic University of Louvain, Belgium, show that one key factor that can dramatically change a diffusion process is the order in which events take place in complex networks.
- Published on 08 July 2013
It is now possible to identify the meaning of words with multiple meanings, without using their semantic contextTwo Brazilian physicists have now devised a method to automatically elucidate the meaning of words with several senses, based solely on their patterns of connectivity with nearby words in a given sentence – and not on semantics. Thiago Silva and Diego Amancio from the University of São Paulo, Brazil, reveal, in a paper just published in EPJ B, how they modelled classics texts as complex networks in order to derive their meaning. This type of model plays a key role in several natural processing language tasks such as machine translation, information retrieval, content analysis and text processing.
- Published on 01 July 2013
A new study shows how specific parameters can help us steer clear of tipping points in dynamic systems, such as entire economies.
By managing macro-economic parameters, scientists believe that—unlike previously thought—it is possible to steer an economy around irreversible changes in its complex dynamics and avert potential economic disasters. These findings, just published in EPJ B, stem from the theoretical work of Michael Harré and colleagues at the Complex Systems Group at the University of Sydney, Australia.
- Published on 18 June 2013
A team of Chinese scientists evaluates the impact of a website based on the interaction between its users with the entire Web
A new study shows that small websites, in terms of daily user flux based on number of clicks, have a disproportionally high impact when it comes to traffic generation and influence compared to larger websites. These findings, just published in EPJ B, have implications for estimating the value of sites and related advertising revenue. They result from the work of Lingfei Wu from the City University of Hong Kong and Jiang Zhang from the School of Management, at Beijing Normal University, China.
- Published on 05 June 2013
Model demonstrates that it is possible for two particles to cross an energy barrier together, where a single particle could not
For the first time, a new kind of so-called Klein tunnelling—representing the quantum equivalent of crossing an energy wall— has been presented in a model of two interacting particles. This work by Stefano Longhi and Giuseppe Della Valle from the Institute of Photonics and Nanotechnology in Milan, Italy, has just been published in EPJ B.
Klein tunnelling is a quantum phenomenon referring to the fact that a high-potential barrier can be transparent to a particle moving at a speed nearing that of light, referred to as relativistic. Most of the previous Klein tunnelling models describe the phenomenon for a single particle. However, when two particles are involved, tunnelling can be modified as a result of their mutual interaction. This means, for example, that two electrons hopping on a lattice, or two ultra-cold atoms trapped in an optical lattice can exchange energy when they occupy the same lattice site.
- Published on 17 May 2013
A new study discusses the electric and magnetic characteristics of a material which could be used in spintronics
Materials belonging to the family of dilute magnetic oxides (DMOs) — an oxide-based variant of the dilute magnetic semiconductors — are good candidates for spintronics applications. This is the object of study for Davide Sangalli of the Microelectronics and Microsystems Institute (IMM) at the National Research Council (CNR), in Agrate Brianza, Italy, and colleagues. They recently explored the effect of iron (Fe) doping on thin films of a material called zirconia (ZrO2 oxide). For the first time, the authors bridged the gap between the theoretical predictions and the experimental measurements of this material, in a paper just published in EPJ B.
- Published on 10 April 2013
Studying the effect of migration on cooperation could help to better understand social cohesion
Migrations happen for a reason, not randomly. A new study, based on computer simulation, attempts to explain the effect of so-called directional migration – migration for a reason – on cooperative behaviours and social cohesion. These results appear in a study just published in EPJ B by Hongyan Cheng from Beijing University of Posts and Telecommunications and colleagues.
- Published on 02 April 2013
This EPJB Colloquium reviews the pioneering studies of plasmon resonance in heavily doped semiconductor thin ﬁlms. It also reports the chemical synthesis and structural properties of heavily doped semiconductor nanocrystals. Their linear plasmonic response (under excitation with weak continuous-wave optical ﬁelds) is illustrated both theoretically and experimentally. Finally, the authors review the most recent results on the transient (i.e. nonlinear) ultrafast plasmonic features exhibited by chalcogenide nanocrystals under excitation with ultra-fast optical pulses, including a “gold-like” theoretical model. This model turns out to provide suﬃcient insights into the ﬁrst experiments on heavily-doped plasmonic nanoparticles.
Plasmonics in heavily-doped semiconductor nanocrystals. Francesco Scotognella et al., Eur. Phys. J. B (2013) 86: 154, DOI: 10.1140/epjb/e2013-40039-x
- Published on 27 March 2013
A new study of animal swarms uncovers some new features of their collective behaviour when overcrowding sets in
Swarming is the spontaneous organised motion of a large number of individuals. It is observed at all scales, from bacterial colonies, slime moulds and groups of insects to shoals of fish, flocks of birds and animal herds. Now physicists Maksym Romenskyy and Vladimir Lobaskin from University College Dublin, Ireland, have uncovered new collective properties of swarm dynamics in a study just published in EPJ B. Ultimately, this could be used to control swarms of animals, robots, or human crowds by applying signals capable of emulating the underlying interaction of individuals within the swarm, which could lead to predicted motion patterns elucidated through modelling.