1. P Auconi, G Caldarelli, A Scala, G Ierardo and A Polimeni. A network approach to orthodontic diagnosis. ORTHODONTICS & CRANIOFACIAL RESEARCH 14(4):189–197, November 2011. DOI BibTeX

    @article{ISI:000296059400001,
    	abstract = "Network analysis, a recent advancement in complexity science, enables understanding of the properties of complex biological processes characterized by the interaction, adaptive regulation, and coordination of a large number of participating components. Objective - We applied network analysis to orthodontics to detect and visualize the most interconnected clinical, radiographic, and functional data pertaining to the orofacial system. Materials and Methods - The sample consisted of 104 individuals from 7 to 13 years of age in the mixed dentition phase without previous orthodontic intervention. The subjects were divided according to skeletal class; their clinical, radiographic, and functional features were represented as vertices (nodes) and links (edges) connecting them. Results - Class II subjects exhibited few highly connected orthodontic features (hubs), while Class III patients showed a more compact network structure characterized by strong co-occurrence of normal and abnormal clinical, functional, and radiological features. Restricting our analysis to the highest correlations, we identified critical peculiarities of Class II and Class III malocclusions. Conclusions - The topology of the dentofacial system obtained by network analysis could allow orthodontists to visually evaluate and anticipate the co-occurrence of auxological anomalies during individual craniofacial growth and possibly localize reactive sites for a therapeutic approach to malocclusion.",
    	author = "Auconi, P and Caldarelli, G and Scala, A and Ierardo, G and Polimeni, A",
    	doi = "10.1111/j.1601-6343.2011.01523.x",
    	issn = "1601-6335",
    	journal = "ORTHODONTICS {\&} CRANIOFACIAL RESEARCH",
    	month = "nov",
    	number = 4,
    	pages = "189--197",
    	title = "{A network approach to orthodontic diagnosis}",
    	volume = 14,
    	year = 2011
    }
    
  2. Gian Marco Palamara, Vinko Zlatic, Antonio Scala and Guido Caldarelli. POPULATION DYNAMICS ON COMPLEX FOOD WEBS. ADVANCES IN COMPLEX SYSTEMS 14(4):635–647, August 2011. DOI BibTeX

    @article{ISI:000293855100008,
    	abstract = "In this work we analyze the topological and dynamical properties of a simple model of complex food webs, namely the niche model. In order to underline competition among species, we introduce ``prey{\{}''{\}} and ``predators{\{}''{\}} weighted overlap graphs derived from the niche model and compare synthetic food webs with real data. Doing so, we find new tests for the goodness of synthetic food web models and indicate a possible direction of improvement for existing ones. We then exploit the weighted overlap graphs to define a competition kernel for Lotka-Volterra population dynamics and find that for such a model the stability of food webs decreases with its ecological complexity.",
    	author = "Palamara, Gian Marco and Zlatic, Vinko and Scala, Antonio and Caldarelli, Guido",
    	doi = "10.1142/S0219525911003116",
    	issn = "0219-5259",
    	journal = "ADVANCES IN COMPLEX SYSTEMS",
    	month = "aug",
    	number = 4,
    	pages = "635--647",
    	title = "{POPULATION DYNAMICS ON COMPLEX FOOD WEBS}",
    	volume = 14,
    	year = 2011
    }