Archivio per 11 giugno 2012

11
Giu
12

The Science of Daydreaming: How It Benefits Creativity and Problem-Solving

See on Scoop.itBounded Rationality and Beyond

Psychologists have discovered that daydreaming allows certain ideas and problems to “marinate” in our unconscious minds, allowing us to think of new possibilities and solutions, even when we aren’t working on a problem directly.

See on www.theemotionmachine.com

Annunci
11
Giu
12

Electronic Brainstorming: Is Fluency All There Is to It?

See on Scoop.itBounded Rationality and Beyond

Collective Dynamics of Complex Systems Research Group Seminar Series March 7, 2012 Hadassah Head (Systems Science, Binghamton University) “Electronic Brainstorming: Is Fluency All There Is to It?

See on vimeo.com

11
Giu
12

Next CoCo Seminar: An Agent-Based Model of Property Tax Ceilings

See on Scoop.itBounded Rationality and Beyond

See on www.facebook.com

11
Giu
12

On the Bursty Evolution of Online Social Networks

See on Scoop.itBounded Rationality and Beyond

by Sabrina Gaito, Matteo Zignani, Gian Paolo Rossi, Alessandra Sala, Xiao Wang, Haitao Zheng, Ben Y. Zhao

 

The high level of dynamics in today’s online social networks (OSNs) creates new challenges for their infrastructures and providers. In particular, dynamics involving edge creation has direct implications on strategies for resource allocation, data partitioning and replication. Understanding network dynamics in the context of physical time is a critical first step towards a predictive approach towards infrastructure management in OSNs. Despite increasing efforts to study social network dynamics, current analyses mainly focus on change over time of static metrics computed on snapshots of social graphs. The limited prior work models network dynamics with respect to a logical clock. In this paper, we present results of analyzing a large timestamped dataset describing the initial growth and evolution of Renren, the leading social network in China. We analyze and model the burstiness of link creation process, using the second derivative, i.e. the acceleration of the degree. This allows us to detect bursts, and to characterize the social activity of a OSN user as one of four phases: acceleration at the beginning of an activity burst, where link creation rate is increasing; deceleration when burst is ending and link creation process is slowing; cruising, when node activity is in a steady state, and complete inactivity.

See on arxiv.org




Time is real? I think not

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