A system of mobile agents to model social networks

We propose a model of mobile agents to construct social networks, based on a system of moving particles by keeping track of the collisions during their permanence in the system. We reproduce not only the degree distribution, clustering coefficient and shortest path length of a large data base of empirical friendship networks recently collected, but also some features related with their community structure. The model is completely characterized by the collision rate and above a critical collision rate we find the emergence of a giant cluster in the universality class of two-dimensional percolation. Moreover, we propose possible schemes to reproduce other networks of particular social contacts, namely sexual contacts.Comment: Phys. Rev. Lett. (in press

HIV transmission during paediatric health care in sub- Saharan Africa – risks and evidence

Health care systems in sub-Saharan Africa are challenged not only to improve care for the increasing number of HIV-infected children, but also to prevent transmission of HIV to other children and health care workers through contaminated medical procedures and needlestick accidents. HIV-infected children aged to 1 year typically have high viral loads, making them dangerous reservoirs for iatrogenic transmission. Most vertically infected children experience HIV-related symptoms early, though many survive beyond 5 years. This leads to high HIV prevalence among inpatient and outpatient children. In nine African studies, HIV prevalence in inpatient children ranged from 8.2% to 63%, roughly 1 - 3 times the prevalence in antenatal women. Investigations of large iatrogenic outbreaks in Russia, Romania, and Libya demonstrate efficient HIV transmission through paediatric health care. Unexplained HIV infections in African children are not rare – studies published through 2003 have recorded more than 300 HIV-infected children with HIV-negative mothers. In addition, several studies have reported much higher HIV prevalence in children 5 - 14 years old than could be expected from mother-to-child transmission alone. Research is required to determine the extent of iatrogenic HIV infection among African children as well as to identify high-risk procedures and settings. Such research can motivate and direct prevention efforts. S Afr Med J 2004; 94: 109-116

Maximal planar networks with large clustering coefficient and power-law degree distribution

In this article, we propose a simple rule that generates scale-free networks with very large clustering coefficient and very small average distance. These networks are called {\bf Random Apollonian Networks}(RAN) as they can be considered as a variation of Apollonian networks. We obtain the analytic results of power-law exponent $\gamma =3$ and clustering coefficient $C={46/3}-36\texttt{ln}{3/2}\approx 0.74$, which agree very well with the simulation results. We prove that the increasing tendency of average distance of RAN is a little slower than the logarithm of the number of nodes in RAN. Since most real-life networks are both scale-free and small-world networks, RAN may perform well in mimicking the reality. The RAN possess hierarchical structure as $C(k)\sim k^{-1}$ that in accord with the observations of many real-life networks. In addition, we prove that RAN are maximal planar networks, which are of particular practicability for layout of printed circuits and so on. The percolation and epidemic spreading process are also studies and the comparison between RAN and Barab\'{a}si-Albert(BA) as well as Newman-Watts(NW) networks are shown. We find that, when the network order $N$(the total number of nodes) is relatively small(as $N\sim 10^4$), the performance of RAN under intentional attack is not sensitive to $N$, while that of BA networks is much affected by $N$. And the diseases spread slower in RAN than BA networks during the outbreaks, indicating that the large clustering coefficient may slower the spreading velocity especially in the outbreaks.Comment: 13 pages, 10 figure

Communicability in complex networks

Many topological and dynamical properties of complex networks are defined by assuming that most of the transport on the network flows along the shortest paths. However, there are different scenarios in which non-shortest paths are used to reach the network destination. Thus the consideration of the shortest paths only does not account for the global communicability of a complex network. Here we propose a new measure of the communicability of a complex network, which is a broad generalization of the concept of the shortest path. According to the new measure, most of real-world networks display the largest communicability between the most connected (popular) nodes of the network (assortative communicability). There are also several networks with the disassortative communicability, where the most "popular" nodes communicate very poorly to each other. Using this information we classify a diverse set of real-world complex systems into a small number of universality classes based on their structure-dynamic correlation. In addition, the new communicability measure is able to distinguish finer structures of networks, such as communities into which a network is divided. A community is unambiguously defined here as a set of nodes displaying larger communicability among them than to the rest of nodes in the network.Comment: 20 pages, 5 figure

Identification of plant-derived alkaloids with therapeutic potential for myotonic dystrophy type I

Myotonic dystrophy type I (DM1) is a disabling neuromuscular disease with no causal treatment available. This disease is caused by expanded CTG trinucleotide repeats in the 3 UTR of the dystrophia myotonica protein kinase gene. On the RNA level, expanded (CUG)n repeats form hairpin structures that sequester splicing factors such as muscleblind-like 1 (MBNL1). Lack of availableMBNL1leads to misregulated alternative splicing of many target pre-mRNAs, leading to the multisystemic symptoms in DM1. Many studies aiming to identify small molecules that target the (CUG)n-MBNL1 complex focused on synthetic molecules. In an effort to identify new small molecules that liberate sequesteredMBNL1from (CUG)n RNA, we focused specifically on small molecules of natural origin. Natural products remain an important source for drugs and play a significant role in providing novel leads and pharmacophores for medicinal chemistry. In a new DM1 mechanism-based biochemical assay, we screened a collection of isolated natural compounds and a library of over 2100 extracts from plants and fungal strains. HPLC-based activity profiling in combination with spectroscopic methods were used to identify the active principles in the extracts. The bioactivity of the identified compounds was investigated in a human cell model and in a mouse model of DM1.We identified several alkaloids, including the -carboline harmine and the isoquinoline berberine, that ameliorated certain aspects of theDM1pathology in these models. Alkaloids as a compound class may have potential for drug discovery in other RNA-mediated diseases

Reporting guidelines for medicinal plant extracts used in pharmacological and toxicological research: ConPhyMP

Every year, the number of studies that evaluate the pharmacological effects, (clinical) efficacy or the toxicity of medicinal plant extracts is constantly increasing, but the reporting quality remains unsatisfactory. One of the main reasons is that there is a lack of detailed reporting standards for guidance. In response to this long-standing challenge, a core group of nine experts with proficiency in phytochemical analysis, including editors-in-chief of leading specialist journals, and based in different research settings globally, developed the Consensus based reporting guidelines for Phytochemical Characterisation of Medicinal Plant extracts (ConPhyMP) through a multi-staged development process. This incorporated a) a global survey among medicinal plant researchers, b) a core group, who reviewed and developed the guidelines through a Delphi process, and c) an advisory group of 20 experts, including editors of leading journals and scientific societies in medicinal plants research, who provided feedback and sanctioned the final guidelines. The ConPhyMP guidelines comprise two tables with accompanying explanatory figures. The first table provides recommendations for reporting the starting material and its initial processing, and the second table presents recommendations for conducting and reporting the analytical methods for defining the chemical profile based on the type of extracts used in the research. The group hopes that the ConPhyMP will support authors as well as peer reviewers and editors assessing these studies for publication and assist the production of evidence-based guidance of studies utilising medicinal plant extracts

Size Matters: The Number of Prostitutes and the Global HIV/AIDS Pandemic

Background. HIV/AIDS prevalence rates across countries of the world vary more than 500-fold from.06 % in Hungary to 33.4% in Swaziland. One of the most cited research papers in the field, utilizing cross country regression analysis to analyze other correlates with this HIV prevalence data, is flawed in that it weights each country’s results by the country’s population. Methodology/Principal Findings. Based on cross-country linear and multiple regressions using newly gathered data from UNAIDS, the number of female commercial sex workers as a percentage of the female adult population is robustly positively correlated with countrywide HIV/AIDS prevalence levels. Confirming earlier studies, female illiteracy levels, gender illiteracy differences and income inequality within countries are also significantly positively correlated with HIV/AIDS levels. Muslims as a percentage of the population, itself highly correlated with country circumcision rates and previously found to be negatively correlated with HIV/AIDS prevalence, is insignificant when the percentage of commercial sex workers in a population is included in the analysis. Conclusions/Significance. This paper provides strong evidence that when conducted properly, cross country regression data does not support the theory that male circumcision is the key to slowing the AIDS epidemic. Rather, it is the number of infected prostitutes in a country that is highly significant and robust in explaining HIV prevalence levels across countries. An explanation is offered for why Africa has been hit the hardest by the AIDS pandemic and why there appears to be very little correlation between HIV/AIDS infection rates and country wealth