PubMed Health⌕ Search

Biomedical subjects

Philippe De Wilde

Publications and source records attributed to Philippe De Wilde.

5 recordsLinked to original sources

Analysis of an evolving email network.

In this paper we study an evolving email network model first introduced by Wang and De Wilde, to the best of our knowledge. The model is analyzed by formulating the network topology as a random process and studying the dynamics of the process. Our analytical results show a number of steady state properties about the email traffic between different nodes and the aggregate networking behavior (i.e., degree distribution, clustering coefficient, average path length, and phase transition), and also confirm the empirical results obtained by Wang and De Wilde. We also conducted simulations confirming the analytical results. Extensive simulations were run to evaluate email traffic behavior at the link and network levels, phase transition phenomena, and also studying the behavior of email traffic in a hierarchical network. The methods established here are also applicable to many other practical networks including sensor networks and social networks.

Journal Article↗

Robustness and regularity of oscillations in neuronal populations.

We study a biologically plausible but computationally simplified integrate-and-fire neuronal model. Oscillatory activity is analyzed in the networks with and without self-connections. We perform a detailed scan of four major parameters that represent the properties of neurons and synapses: connection ratio, connection strengths, post-synaptic potential decay rate and soma's potential decay rate. It is observed that networks with different properties exhibit different periods and different patterns of synchrony. We find that generally these oscillations are robust against changes of parameters, meanwhile we also locate the parametric boundaries where oscillations break down.

Electrophysiology↗

Familial pericentric inversion of chromosome 18: behavioral abnormalities in patients heterozygous for either the dup(18p)/del(18q) or dup(18q)/del(18p) recombinant chromosome.

We describe a family in which the largest hitherto reported pericentric inversion of chromosome 18, inv(18)(p11.22q23), segregates. Individuals heterozygous for the nonrecombinant inversion were unaffected. However, those heterozygous for either the dup(18p)/del(18q) or dup(18q) /del(18p) recombinant exhibited mild learning difficulty, personality disorders and deficient social behavior in the absence of mental retardation. Of the three family members tested, the behavioral abnormalities were more prominent in the two individuals with the dup(18p)/del(18q) recombinant than in the one with the dup(18q)/del(18p) recombinant. Genetic counseling issues for this family, in particular for the affected, include the enhanced probability of reduced fertility as well as the recurrence risk of the parental inversion equaling 1/2 in surviving offspring. This observation kindles the interest in determining the frequency of subtelomeric rearrangements in individuals with learning difficulty and deficiency in social interaction, phenotypic features often considered to be of multifactorial causation.

Adolescent↗

Properties of evolving e-mail networks.

Computer viruses spread by attaching to an e-mail message and sending themselves to users whose addresses are in the e-mail address book of the recipients. Here we investigate a simple model of an evolving e-mail network, with nodes as e-mail address books of users and links as the records of e-mail addresses in the address books. Within specific periods, some new links are generated and some old links are deleted. We study the statistical properties of this e-mail network and observe the effect of the evolution on the structure of the network. We also find that the balance between the generation procedure and deletion procedure is dependent on different parameters of the model.

Journal Article↗

Fuzzy utility and equilibria.

A decision maker is frequently confronted with fuzzy constraints, fuzzy utility maximization, and fuzziness about the state of competitors. In this paper we present a framework for fuzzy decision-making, using techniques from fuzzy logic, game theory, and micro-economics. In the first part, we study the rationality of fuzzy choice. We introduce fuzzy constraints, and show that this can easily be combined with maximizing a fuzzy utility. The second part of the paper analyzes games with uncertainty about the state of the competitors. We implement fuzzy Cournot adjustment, define equilibria, and study their stability. Finally, we show how a play progresses where the players have uncertainty about the state of the other players, and about their utility. For a likely procedure of utility maximization, the equilibria are the same as for the game without utility maximization.

Algorithms↗