76 citations · 376 across the 14 of their papers we have counts for
14 papers
Anomaly, reciprocity, and community detection in networks
Hadiseh Safdari, Martina Contisciani, Caterina De Bacco
Anomaly detection algorithms are a valuable tool in network science for identifying unusual patterns in a network. These algorithms have numerous practical applications, including…
Anomaly detection and community detection in networks
Hadiseh Safdari, Caterina De Bacco
Anomaly detection is a relevant problem in the area of data analysis. In networked systems, where individual entities interact in pairs, anomalies are observed when pattern of inte…
Reciprocity, community detection, and link prediction in dynamic networks
Hadiseh Safdari, Martina Contisciani, Caterina De Bacco
Many complex systems change their structure over time, in these cases dynamic networks can provide a richer representation of such phenomena. As a consequence, many inference metho…
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
Caterina De Bacco, Martina Contisciani, Jonathan Cardoso-Silva +10
Social network data are often constructed by incorporating reports from multiple individuals. However, it is not obvious how to reconcile discordant responses from individuals. The…
Community detection and reciprocity in networks by jointly modeling pairs of edges
Martina Contisciani, Hadiseh Safdari, Caterina De Bacco
To unravel the driving patterns of networks, the most popular models rely on community detection algorithms. However, these approaches are generally unable to reproduce the structu…
Generative model for reciprocity and community detection in networks
Hadiseh Safdari, Martina Contisciani, Caterina De Bacco
We present a probabilistic generative model and efficient algorithm to model reciprocity in directed networks. Unlike other methods that address this problem such as exponential ra…
Crossover from anomalous to normal diffusion: truncated power-law noise correlations and applications to dynamics in lipid bilayers
D. Molina-Garcia, T. Sandev, H. Safdari +3
The emerging diffusive dynamics in many complex systems shows a characteristic crossover behaviour from anomalous to normal diffusion which is otherwise fitted by two independent p…
Fractional Dynamics of Network Growth Constrained by aging Node Interactions
Hadiseh Safdari, Milad Zare Kamali, Amirhossein Shirazi +3
In many social complex systems, in which agents are linked by non-linear interactions, the history of events strongly influences the whole network dynamics. However, a class of "co…
Glassy states of aging social networks
F. Hassanibesheli, L. Hedayatifar, H. Safdari +2
Individuals often develop reluctance to change their social relations, called "secondary homebody", even though their interactions with their environment evolve with time. Some mem…
Underdamped scaled Brownian motion: (non-)existence of the overdamped limit in anomalous diffusion
A. S. Bodrova, A. V. Chechkin, A. G. Cherstvy +3
It is quite generally assumed that the overdamped Langevin equation provides a quantitative description of the dynamics of a classical Brownian particle in the long time limit. We…
Ageing underdamped scaled Brownian motion: ensemble and time averaged particle displacements, non-ergodicity, and the failure of the overdamping approximation
H. Safdari, A. G. Cherstvy, A. V. Chechkin +2
We investigate both analytically and by computer simulations the ensemble averaged, time averaged, non-ergodic, and ageing properties of massive particles diffusing in a medium wit…
Quantifying the non-ergodicity of scaled Brownian motion
Hadiseh Safdari, Andrey G. Cherstvy, Aleksei V. Chechkin +3
We examine the non-ergodic properties of scaled Brownian motion, a non-stationary stochastic process with a time dependent diffusivity of the form . We compute…
History effects on network growth
Hadiseh Safdari, Milad Zare Kamali, Amir Hossein Shirazi +2
Growth dynamic of real networks because of emerging complexities is an open and interesting question. Indeed it is not realistic to ignore history impact on the current events. The…
Aging Scaled Brownian Motion
H. Safdari, A. V. Chechkin, G. R. Jafari +1
Scaled Brownian motion (SBM) is widely used to model anomalous diffusion of passive tracers in complex and biological systems. It is a highly non-stationary process governed by the…