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Grant: Engage Grants Program

University of Ontario Institute of Technology

$24,991.00

Microscopic construction and analysis of online social networks

FY 2013-14

Summary
Analyzing Online Social Networks (OSN) has become one of the most pressing problems of modern-day data mining. Due to the exponential growth of these networks (e.g. Facebook, Twitter, LinkedIn), analysis is hampered by the incredible size of the data. Most recent effort has focused on analyzing OSN streams (all Tweets in the US) with less attention paid to analyzing the OSN graph itself.In collaboration with Girih, an Ottawa based analytics company, the Tamblyn Group will develop software for the simulation of network formation and growth. This software package will be a flexible platform that will allow users to specify microscopic criteria for node interactions within the network. Such interactions will be based on microscopic criteria, e.g. current number of neighbours, physical distance, etc. These interactions are analogous (but not limited) to molecule interactions which occur at surfaces and interfaces, a subject area where the Tamblyn Group has experience and expertise.The simulation package will time-evolve these networks until they reach steady-state. Network properties such as connectivity and cluster size will be monitored and reported so that conserved quantities can be identified. This step is crucial for developing large-scale, macroscopic models of online social networks. By developing a microscopic picture of a macroscopic network, the project will result in improved models for analysis, decision making, and communication.
Program
Engage Grants Program
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
453515-2013
Name nom
Tamblyn, Isaac
Department département
Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2013
Award amount
24991
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
900
Area of application group en
Commercial services
Area of application group fr
Services commerciaux
Area of application en
Commercial services
Area of application fr
Services commerciaux
Research subject code
3312
Research subject group en
Condensed matterphysics
Research subject group fr
Physique de la matière condensée
Research subject en
Mesoscopic physics
Research subject fr
Physique mésoscopique
Partie
1
Nb partie
1
Application title
Microscopic construction and analysis of online social networks
Keyword
NSERC
Application summary
Analyzing Online Social Networks (OSN) has become one of the most pressing problems of modern-day data mining. Due to the exponential growth of these networks (e.g. Facebook, Twitter, LinkedIn), analysis is hampered by the incredible size of the data. Most recent effort has focused on analyzing OSN streams (all Tweets in the US) with less attention paid to analyzing the OSN graph itself.In collaboration with Girih, an Ottawa based analytics company, the Tamblyn Group will develop software for the simulation of network formation and growth. This software package will be a flexible platform that will allow users to specify microscopic criteria for node interactions within the network. Such interactions will be based on microscopic criteria, e.g. current number of neighbours, physical distance, etc. These interactions are analogous (but not limited) to molecule interactions which occur at surfaces and interfaces, a subject area where the Tamblyn Group has experience and expertise.The simulation package will time-evolve these networks until they reach steady-state. Network properties such as connectivity and cluster size will be monitored and reported so that conserved quantities can be identified. This step is crucial for developing large-scale, macroscopic models of online social networks. By developing a microscopic picture of a macroscopic network, the project will result in improved models for analysis, decision making, and communication.