Reference number : GC-2017-Q1-01959, amendment number : , agreement type : G, recipient legal name : Pralat, Pawel (Ryerson University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Discovery Grants Program - Individual, program name french : Programme de subventions à la découverte - individuelles, program purpose english : In the big data era, data is considered as the new fossil fuel. Every human-technology interaction, or sensor network, generates new data points that can be viewed, based on the type of interaction, as a self-organizing network. In these networks (for example, Facebook) nodes not only contain some useful information (such as user's profile, photos, tags) but are also internally connected to other nodes (relations based on friendship, similar users behaviour, age, geographic location). Such networks are large-scale, self-organizing, decentralized, and evolve dynamically over time. As a result, random geometric graphs turn out to be natural and well suited in modelling them. Understanding the principles driving the organization and behaviour of complex networks, as well as algorithms based on these networks, is crucial for a broad range of fields, including information and social sciences, economics, biology, and neuroscience. 
 
The research program of the PI contributes to our understanding by focusing on modelling and mining of complex networks (pure research as well as applied one with industry partners). The program is multidisciplinary in nature and as such requires a rather unique blend of knowledge, skills, and tools from at least three areas: 1) mathematics and theoretical computer science, 2) social science, and 3) applied computer science. Increasingly, all three areas are interconnected, and experience in all of them is required in order to make an important impact in the field., program purpose french : In the big data era, data is considered as the new fossil fuel. Every human-technology interaction, or sensor network, generates new data points that can be viewed, based on the type of interaction, as a self-organizing network. In these networks (for example, Facebook) nodes not only contain some useful information (such as user's profile, photos, tags) but are also internally connected to other nodes (relations based on friendship, similar users behaviour, age, geographic location). Such networks are large-scale, self-organizing, decentralized, and evolve dynamically over time. As a result, random geometric graphs turn out to be natural and well suited in modelling them. Understanding the principles driving the organization and behaviour of complex networks, as well as algorithms based on these networks, is crucial for a broad range of fields, including information and social sciences, economics, biology, and neuroscience. 
 
The research program of the PI contributes to our understanding by focusing on modelling and mining of complex networks (pure research as well as applied one with industry partners). The program is multidisciplinary in nature and as such requires a rather unique blend of knowledge, skills, and tools from at least three areas: 1) mathematics and theoretical computer science, 2) social science, and 3) applied computer science. Increasingly, all three areas are interconnected, and experience in all of them is required in order to make an important impact in the field., agreement title english : Modelling and Mining Complex Networks, agreement title french : Modelling and Mining Complex Networks, agreement number : RGPIN, agreement value : 115000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2022-2023), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2022-2023), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada