Develo**, testing, and communicating earthquake forecasts: Current practices and future directions

L Mizrahi, I Dallo, NJ van der Elst… - Reviews of …, 2024‏ - Wiley Online Library
While deterministically predicting the time and location of earthquakes remains impossible,
earthquake forecasting models can provide estimates of the probabilities of earthquakes …

Dragon-kings: mechanisms, statistical methods and empirical evidence

D Sornette, G Ouillon - The European Physical Journal Special Topics, 2012‏ - Springer
This introductory article presents the special Discussion and Debate volume “From black
swans to dragon-kings, is there life beyond power laws?” We summarize and put in …

[کتاب][B] A guide to temporal networks

N Masuda, R Lambiotte - 2016‏ - World Scientific
A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …

Uniform California earthquake rupture forecast, version 3 (UCERF3)—The time‐independent model

EH Field, RJ Arrowsmith, GP Biasi… - Bulletin of the …, 2014‏ - pubs.geoscienceworld.org
Abstract The 2014 Working Group on California Earthquake Probabilities (WGCEP14)
present the time‐independent component of the Uniform California Earthquake Rupture …

[کتاب][B] Critical phenomena in natural sciences: chaos, fractals, selforganization and disorder: concepts and tools

D Sornette - 2006‏ - books.google.com
Concepts, methods and techniques of statistical physics in the study of correlated, as well as
uncorrelated, phenomena are being applied ever increasingly in the natural sciences …

Earthquake clusters in southern California I: Identification and stability

I Zaliapin, Y Ben‐Zion - Journal of Geophysical Research: Solid …, 2013‏ - Wiley Online Library
We use recent results on statistical analysis of seismicity to present a robust method for
comprehensive detection and analysis of earthquake clusters. The method is based on …

Feature driven and point process approaches for popularity prediction

S Mishra, MA Rizoiu, L **e - Proceedings of the 25th ACM international …, 2016‏ - dl.acm.org
Predicting popularity, or the total volume of information outbreaks, is an important
subproblem for understanding collective behavior in networks. Each of the two main types of …

Expecting to be hip: Hawkes intensity processes for social media popularity

MA Rizoiu, L **e, S Sanner, M Cebrian, H Yu… - Proceedings of the 26th …, 2017‏ - dl.acm.org
Modeling and predicting the popularity of online content is a significant problem for the
practice of information dissemination, advertising, and consumption. Recent work analyzing …

Statistical similarity between the compression of a porous material and earthquakes

J Baró, Á Corral, X Illa, A Planes, EKH Salje… - Physical review …, 2013‏ - APS
It has long been stated that there are profound analogies between fracture experiments and
earthquakes; however, few works attempt a complete characterization of the parallels …

Analyzing earthquake clustering features by using stochastic reconstruction

J Zhuang, Y Ogata… - Journal of Geophysical …, 2004‏ - Wiley Online Library
On the basis of the epidemic‐type aftershock sequence (ETAS) model and the thinning
procedure, this paper gives the method about how to classify the earthquakes in a given …