We recently published a work with the analysis of the spreading, through the Twitter social network, of the gossip about the discovery of the Higgs-boson-like particle by ATLAS and CMS teams at LHC, CERN.
The arXiv pre-print The Anatomy of a Scientific Gossip is available here: arxiv:1301.2952
A selection of videos regarding the gossip spreading and the corresponding Twitter activity is available here
My interests cover a wide variety of fields, from theoretical to experimental ones. I am mainly interested in complex systems and in exploring hidden patterns in real-world data (but I can not hide my love for purely theoretical physics). A (non-exhaustive) list of topics includes:
Complex systems: complex networks, nonlinear time series analysis, nonlinear dynamics and chaos theory, stochastic processes, fluctuation theory, information theory, multifractals, turbulence
Statistics: extreme value theory, statistics of correlated systems
Physics: ultra high energy cosmic rays, cosmology, quantum field theory, particle physics
Take a deeper look at the page about my interests. You can find here my detailed CV.
A very short description of my current activities
I am currently a Research Fellow at the School of Computer Science at the University of Birmingham, United Kingdom, funded by EPSRC. In particular, I am working in the group of Dr.
Mirco Musolesi at the The Uncertainty of Identity: Linking
Spatiotemporal Information Between Virtual and Real Worlds project (see the official
website). My current activities deal with the investigation of hidden patterns and outlier detection in complex real (and virtual) networks. I am also investigating multi-relational and time-varying networks, with particular attention to social, biological and economic data. Currently, I am studying the evolutionary dynamics of DNA, the anomalous fluctuations in stock markets and in seismic events, in the framework of multiscale fluctuation analysis (take a look at my recent paper on Scaling and Universality in River Flow Dynamics, and at Refs. therein, for further details about this approach).
Finally, I am investigating mobility patterns of individuals in a complex network by means of time-delayed mutual information, trying to predict their
movements by means of
multivariate nonlinear prediction, based on phase-space reconstruction of mobility traces of individuals with social ties.
Please, visit my short bio page for additional details on my current and recent activities.
Recent publications
For a full list of my publications, proceeding of conferences, internal reports and anything else, please visit this page.
For a full list of my recent talks (with links to slides, in many cases) please visit the section Talks and Presentations in this page.
For some (unknown) reasons, you may be interested in being updated on my publications. You can use this feed on arXiv:
You may be interested in checking citations to my papers. You can use this service on Google Scholar:
By striving to do the impossible, man has always achieved what is possible. Those who have cautiously done no more than they believed possible have never taken a single step forward
M. A. Bakunin
Imagination is more important than knowledge. Knowledge is limited. Imagination encircles the world.
A. Einstein
The scientist has a lot of experience with ignorance and doubt and uncertainty, and this experience is of very great importance, I think.
R.P. Feynman
When you know a thing, to hold that you know it, and when you do not know a thing, to allow that you do not know it: this is knowledge.
Kong Fu Tzu
We cling to our own point of view, as though everything depended on it. Yet our opinions have no permanence; like autumn and winter, they gradually pass away.
Chuang Tzu
I thank all the initial conditions and external factors, appeared or disappeared during the time, that allowed me to reach this final status.
Me (in my PhD Thesis) (even if I don't deserve to be in this section together with such people)
Some among other frequent expressions of mine:
- Entropy never betrayed us.
- It's worth studying complex time series analysis because everything in this world depends on time.