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  • Dynamical systems on hypergraphs
    J. Phys. Complex Pub Date : 2020-08-16
    Timoteo Carletti, Duccio Fanelli and Sara Nicoletti

    Networks are a widely used and efficient paradigm to model real-world systems where basic units interact pairwise. Many body interactions are often at play, and cannot be modelled by resorting to binary exchanges. In this work, we consider a general class of dynamical systems anchored on hypergraphs. Hyperedges of arbitrary size ideally encircle individual units so as to account for multiple, simultaneous

    更新日期:2020-08-31
  • Traffic flow splitting from crowdsourced digital route choice support
    J. Phys. Complex Pub Date : 2020-08-10
    David-Maximilian Storch, Malte Schröder and Marc Timme

    Digital technology is fundamentally transforming human mobility. Route choices in particular are greatly affected by the availability of traffic data, increased connectivity of data sources and cheap access to computational resources. Digital routing technologies promise more efficient route choices for the individual and a reduction of congestion for cities. Yet, it is unclear how widespread adoption

    更新日期:2020-08-31
  • Can x2vec save lives? Integrating graph and language embeddings for automatic mental health classification
    J. Phys. Complex Pub Date : 2020-08-10
    Alexander Ruch

    Graph and language embedding models are becoming commonplace in large scale analyses given their ability to represent complex sparse data densely in low-dimensional space. Integrating these models' complementary relational and communicative data may be especially helpful if predicting rare events or classifying members of hidden populations—tasks requiring huge and sparse datasets for generalizable

    更新日期:2020-08-31
  • Probing criticality in quantum spin chains with neural networks
    J. Phys. Complex Pub Date : 2020-08-06
    A Berezutskii, M Beketov, D Yudin, Z Zimborás and J D Biamonte

    The numerical emulation of quantum systems often requires an exponential number of degrees of freedom which translates to a computational bottleneck. Methods of machine learning have been used in adjacent fields for effective feature extraction and dimensionality reduction of high-dimensional datasets. Recent studies have revealed that neural networks are further suitable for the determination of macroscopic

    更新日期:2020-08-31
  • p53/E2F1/miR-25 axis regulates apoptosis induction in glioblastoma cells: a qualitative model
    J. Phys. Complex Pub Date : 2020-08-03
    Daner A Silveira, Shantanu Gupta and José Carlos M Mombach

    p53 is an anti-cancer protein for inducing cell cycle arrest and apoptosis. In glioblastoma multiform (GBM), p53 is able to induce apoptosis via inhibition of its negative regulator Mdm2. Experimental studies have shown that microRNA-25 (miR-25) can repress Mdm2 expression and, in turn, stabilizes p53 to induce the G1/S checkpoint in GBM cells. miR-25 expression is regulated by the cell cycle inducer

    更新日期:2020-08-31
  • Tree decompositions of real-world networks from simulated annealing
    J. Phys. Complex Pub Date : 2020-08-03
    Konstantin Klemm

    Decompositions of networks are useful not only for structural exploration. They also have implications and use in analysis and computational solution of processes (such as the Ising model, percolation, SIR model) running on a given network. Tree and branch decompositions considered here directly represent network structure as trees for recursive computation of network properties. Unlike coarse-graining

    更新日期:2020-08-31
  • Schrödinger's ants: a continuous description of Kirman's recruitment model
    J. Phys. Complex Pub Date : 2020-08-03
    José Moran, Antoine Fosset, Michael Benzaquen and Jean-Philippe Bouchaud

    We show how the approach to equilibrium in Kirman's ants model can be fully characterized in terms of the spectrum of a Schrödinger equation with a Pöschl–Teller (tan 2 ) potential. Among other interesting properties, we have found that in the bimodal phase where ants visit mostly one food site at a time, the switch time between the two sources only depends on the 'spontaneous conversion' rate and

    更新日期:2020-08-31
  • A perspective on complexity and networks science
    J. Phys. Complex Pub Date : 2020-07-16
    Guido Caldarelli

    Complexity and network science are nowadays used, or at least invoked, in a variety of scientific researchareas ranging from the analysis of financial systems to social structure and even to medicine. Here I explore some of the possible reasons for this success, the relationship between them and how they might be used in the future.

    更新日期:2020-08-31
  • Human mobility in interest space and interactive random walk
    J. Phys. Complex Pub Date : 2020-07-06
    Fanqi Zeng, Li Gong, Jing Liu, Jiang Zhang, Qinghua Chen and Ruyue Xin

    Compared with the well-studied topic of human mobility in real geographic space, only a few studies focus on human mobility in virtual space, such as interests, knowledge, ideas, and so on. However, it relates to the issues like public opinion management, knowledge diffusion, and innovation. In this paper, we assume that the interests of a group of online users can span an Euclidean space which is

    更新日期:2020-08-31
  • Analyzing mass media influence using natural language processing and time series analysis
    J. Phys. Complex Pub Date : 2020-07-05
    Federico Albanese, Sebastián Pinto, Viktoriya Semeshenko and Pablo Balenzuela

    A key question of collective social behavior is related to the influence of mass media on public opinion. Different approaches have been developed to address quantitatively this issue, ranging from field experiments to mathematical models. In this work we propose a combination of tools involving natural language processing and time series analysis. We compare selected features of mass media news articles

    更新日期:2020-08-31
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