Category Archives: Videos

> Berrenur Saylam, Raphaël Fournier-S’niehotta and Lionel Tabourier Download The dataset under examination here is MovieLens 1M (see http://grouplens.org/datasets/movielens/). MovieLens is a project created by GroupLens Research group in 1997 for personalised movie recommendations. This dataset gathers the ratings of 6,040 users on 3,900 movies. Additional information about the users include age, gender and occupation. […]

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Rollernet

> By Lamia Benamara and Clémence Magnien Download We study here the behavior of nodes in dynamic contact networks. We use the Rollernet dataset, which has been collected during a rollerblading tour in Paris [1]. This dataset consists of contact logs between Intel iMote nodes distributed on 62 participants. Each iMote performed regular scans (every […]

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Radar Dynamics: Detection of an Event

Radar Dynamics: Detection of an Event

> By Antoine Mazières, Clémence Magnien and Fabien Tarissan Download As part of the “Radar for the Internet” project described in this paper, this video aims at understanding better the dynamics of the Internet’s topology. The dataset used in this experiment is built on an ego-centeric view of the network from one of our monitors, […]

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Complex network measurement with link queries

Complex network measurement with link queries

> By Fabien Tarissan, Matthieu Latapy and Christophe Prieur Download In many cases, complex networks are not directly available: one has to conduct an expensive measurement procedure in order to collect information on their structure. One then obtains a sample of the network under concern, which is in general only a small part of the […]

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Attacks on heterogeneous networks

Attacks on heterogeneous networks

> By Dashun Wang, Albert-László Barabási and Matthieu Latapy View the high quality movie Many networks, like for instance the internet, are designed to allow nodes to communicate by sending messages along the links of the network. In others, like social networks, viruses or information spread among nodes by following the links of the network. […]

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Evolution of degree distribution during measurement

Evolution of degree distribution during measurement

> By Clémence Magnien and Matthieu Latapy Download When one wants to study a complex network, one generally first has to conduct an intricate and expensive measurement. This measurement gives a sample of the network which is generally partial and may be biased. In Complex Network Measurements: Estimating the Relevance of Observed Properties we propose […]

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Spreading of a file in a P2P system

Spreading of a file in a P2P system

> By Matthieu Latapy and Abdelhamid Salah Brahim Download In a peer-to-peer (P2P) file exchange system, there is no central server that would store all available files and distribute them to users. Instead, the system self-organises in a way such that exchanges occur directly between users, between peers. Here we represent the spreading of a […]

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Dynamics of the internet topology around me

Dynamics of the internet topology around me

> By Assia Hamzaoui and Matthieu Latapy Download As explained in this paper, radar measurements of the internet topology consist in periodic measurements of the routes followed by packets from a machine, called monitor, to a given set of other machines, called destinations, on the internet. By merging all these routes, one obtains a map […]

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Occurrences of nodes as the measurement duration grows

Occurrences of nodes as the measurement duration grows

> By Matthieu Latapy, Clémence Magnien and Frédéric Ouédraogo Download We conduct what we call an Internet radar measurement: from a given machine, called source, and given a set of destinations (IP addresses), we perform a traceroute-like measurement towards each of them, and then iterate this operation (6000 times here). Each round of measurement produces […]

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Dynamics of Internet links around a source

Dynamics of Internet links around a source

> By Yacine Belkessam, Bénédicte Le Grand and Matthieu Latapy Download We conduct what we call an Internet radar measurement: from a given machine, called source, and given a set of IP addresses, we perform a traceroute-like measurement towards each of them, and then iterate this operation (200 times here, with a 10mn delay between […]

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