Robin Lamarche-Perrin

Robin Lamarche-Perrin
French National Centre for Scientific Research | CNRS · Complex Systems Institute of Paris Île-de-France

PhD

About

39
Publications
5,301
Reads
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166
Citations
Introduction
Find out more about my work on https://lodelo.art !
Additional affiliations
November 2015 - present
Sorbonne Université
Position
  • PostDoc Position
November 2013 - October 2015
Max Planck Institute for Mathematics in the Sciences
Position
  • PostDoc Position
October 2010 - October 2013
Université Grenoble Alpes
Position
  • PhD Student

Publications

Publications (39)
Article
Full-text available
Socio-technical systems usually consist of many intertwined networks, each connecting different types of objects or actors through a variety of means. As these networks are co-dependent, one can take advantage of this entangled structure to study interaction patterns in a particular network from the information provided by other related networks. A...
Article
Full-text available
Diversity is a concept relevant to numerous domains of research varying from ecology, to information theory, and to economics, to cite a few. It is a notion that is steadily gaining attention in the information retrieval, network analysis, and artificial neural networks communities. While the use of diversity measures in network-structured data cou...
Preprint
Full-text available
Diversity is a concept relevant to numerous domains of research as diverse as ecology, information theory, and economics, to cite a few. It is a notion that is continuously gaining attention in the information retrieval, network analysis, and artificial neural networks communities. While the use of diversity measures in network-structured data find...
Article
This paper aims at precisely detecting and identifying anomalous events in IP traffic. To this end, we adopt the link stream formalism which properly captures temporal and structural features of the data. Within this framework, we focus on finding anomalous behaviours with respect to the degree of IP addresses over time, i.e. the number of distinct...
Preprint
Full-text available
Socio-technical systems usually consists of many intertwined networks, each connecting different types of objects (or actors) through a variety of means. As these networks are co-dependent, one can take advantage of this entangled structure to study interaction patterns in a particular network from the information provided by other related networks...
Preprint
Full-text available
In social network Twitter, users can interact with each other and spread information via retweets. These millions of interactions may result in media events whose influence goes beyond Twitter framework. In this paper, we thoroughly explore interactions to provide a better understanding of the emergence of certain trends. First, we consider an inte...
Preprint
Full-text available
This paper aims at precisely detecting and identifying anomalous events in IP traffic. To this end, we adopt the link stream formalism which properly captures temporal and structural features of the data. Within this framework, we focus on finding anomalous behaviours with respect to the degree of IP addresses over time. Due to diversity in IP prof...
Chapter
Full-text available
Heterogeneous information networks (HINs) are abstract representations of systems composed of multiple types of entities and their relations. Given a pair of nodes in a HIN, this work aims at recovering the exact weight of the incident link to these two nodes, knowing some other links present in the HINs. Actually, this weight is approximated by a...
Chapter
Full-text available
We introduce a method which aims at getting a better understanding of how millions of interactions may result in global events. Given a set of dimensions and a context, we find different types of outliers: a user during a given hour which is abnormal compared to its usual behavior, a relationship between two users which is abnormal compared to all...
Article
Full-text available
Graph compression is a data analysis technique that consists in the replacement of parts of a graph by more concise structural patterns in order to reduce its description length. It notably provides interesting exploration tools for the study of real, large-scale, and complex graphs which cannot be grasped at first glance. This article proposes a f...
Preprint
Full-text available
Graph compression is a data analysis technique that consists in the replacement of parts of a graph by more general structural patterns in order to reduce its description length. It notably provides interesting exploration tools for the study of real, large-scale, and complex graphs which cannot be grasped at first glance. This article proposes a f...
Article
Full-text available
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Article
Full-text available
Social research on public opinion has been affected by the recent deluge of new digital data on the Web, from blogs and forums to Facebook pages and Twitter accounts. This fresh type of information useful for mining opinions is emerging as an alternative to traditional techniques, such as opinion polls. Firstly, by building the state of the art of...
Article
Because the dynamics of complex systems is the result of both decisive local events and reinforced global effects, the prediction of such systems could not do without a genuine multilevel approach. This paper proposes to found such an approach on information theory. Starting from a complete microscopic description of the system dynamics, we are loo...
Article
Our image of the world largely depends on information flows received from abroad through mass media. This article presents a framework for the quantitative analysis of news media flows, understood as possible markers of contemporary dynamics of globalization and regionalization. We introduce the notion of "media geography of agenda-setting", which...
Article
Full-text available
Notre image du monde depend dans une large mesure des flux d’information que nous recevons de l’etranger via les medias de masse. Nous proposons dans cet article un cadre d’analyse quantitative des flux mediatiques – marqueurs possibles des dynamiques contemporaines de mondialisation et de regionalisation – reposant sur le concept d’« agenda geomed...
Article
Full-text available
This paper is interested in the analysis and the debugging of decentralized asynchronous large-scale multi-agent systems. In order to work at scale, such a task requires computer scientists to abstract away from the agent microscopic dynamics by providing a global representation of the system dynamics. In this paper, we propose to address this chal...
Chapter
Full-text available
The design and the debugging of large-scale MAS require abstraction tools in order to work at a macroscopic level of description. Agent aggregation provides such abstractions by reducing the complexity of the system’s microscopic representation. Since it leads to an information loss, such a key process may be extremely harmful for the analysis if p...
Conference Paper
Full-text available
Performance analysis through visualization techniques usually suffers semantic limitations due to the size of parallel applications. Most performance visualization tools rely on data aggregation to work at scale, without any attempt to evaluate the loss of information caused by such aggregations. This paper proposes a technique to evaluate the qual...
Conference Paper
Full-text available
The design and the debugging of large distributed AI systems require abstraction tools to build tractable macroscopic descriptions. Data aggregation provides such tools by partitioning the system dimensions into aggregated pieces of information. Since this process leads to information losses, the partitions should be chosen with the greatest cautio...
Article
Full-text available
The analysis of large-scale systems faces syntactic and semantic difficulties: How to observe millions of distributed and asynchronous entities? How to interpret the disorder that results from the microscopic observation of such entities? How to produce and handle relevant abstractions for the systems' macroscopic analysis? Faced with the failure o...
Article
AI Video Competition - http://ijcai13.org/program/ai_video_competition
Conference Paper
Full-text available
The design and debugging of large-scale MAS require abstraction tools in order to work at a macroscopic level of description. Agent aggregation provides such abstractions by reducing the complexity of the microscopic description. Since it leads to an information loss, such a key process may be extremely harmful for the analysis if poorly executed....
Conference Paper
Full-text available
A leading topic of the GEOMEDIA project [1] focuses on the analysis of international relations through print media. In this demo paper, we show how techniques for Multi-Agent Systems aggregation [2,3] can be applied to the spatial and temporal aggregation of news. Two experiments show that the generated multi-resolution representations may draw att...
Article
Full-text available
The design and debugging of large-scale MAS require abstraction tools in order to work at a macroscopic level of description. Agent aggregation provides such abstractions by reducing the microscopic description complexity. Since it leads to an information loss, such a key process may be extremely harmful if poorly executed. This research report pre...
Article
Full-text available
Large-scale distributed high-performance applications are involving an ever-increasing number of threads to explore the extreme concurrency of today's systems. The performance analysis through visualization techniques usually su ers severe semantic limitations due, from one side, to the size of parallel applications, from another side, to the chall...
Article
Full-text available
The analysis of systems' dynamics lies on the collection and the description of events. In order to scale-up classical analysis methods, this report is interested in the reduction of descriptional complexity by aggregating events' properties. Shannon entropy appears to be an adequate complexity measure regarding the aggregation process. Some other...

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Projects

Project (1)
Project
The project aims at a better understanding of the mechanisms and dynamics of information circulating in social media and digital news. To achieve this goal it will combine methods from game theory, complex networks, dynamical systems and text analysis. Funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732942. www.odycceus.eu