Monday, January 24, 2011

It's not just WHO you connect to, but the PATTERNS of connections #CCK11

One of my favourite podcasts is CBCs "Spark". In this episode, Nora Young interviews Valdis Kreb from about "Social Network Analysis". Valdis describes it, "as a way to mathematically look at how we work in large groups to see something that is otherwise invisible."

Networks, information exchange and relationships in organizations.
Shashi Shekhar and Dev Oliver's recent position paper, "Computational Modeling of Spatio-temporal Social Networks: A Time-Aggregated Graph Approach" addresses the missing data of time and space in analysis.

“However, traditional graph and random graph models are limited in addressing spatio-temporal questions such as change (e.g., how is trust or leadership changing over time? who are the emerging leaders in a group? what are the recurring changes in a group?), trends (e.g., what are the long-term and short-term trends in network size or structure? what are the exceptions to the long-term trend?), duration (e.g., how long is the tenure of a leader in a group? how long does it take to elevate the level of trust such as a relationship changing from visitor to friend?), migration, mobility and travel (e.g., interplay between travel behavior and size/structure of social networks [Tim 06]). This position paper explores time-aggregated graph models to support computational tools to address such questions.” Read the paper [PDF]

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