CSSS 2009 Santa Fe-Final Papers

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The Effect of Gossip on Social Networks

Summary: In this project we look at the effects of the spread of gossip (defined as information passed between two individuals A and B about an individual C who is not present) on social network structure.

By (Group Page): Allison Shaw, Chang Yu, David Brooks, Milena Tsvetkova, Roozbeh Daneshvar

• Final Paper

Deconstructing CSSS09 Social Network

Summary: CSSS09 is a group of people interested in complex systems who are randomly chosen to attend the one month summer school. The international and interdisciplinary group spends four weeks together learning, discussing and working on projects related to complex systems. We are analyzing the social interaction of this network and the network change over time.

By (Group Page): Margreth Keiler, Murad Mithani, Roozbeh Daneshvar, Wendy Ham

• Final Paper

Analyzing Contagion in Heterogeneous Networks

Summary: Using the real-life data for the flu shots "contagion", and generating an agent based model, the project intends to analyze contagion in a network in which all the nodes have various levels of threshold for changing. The project intends to investigate if the thresholds are various, can that lead to new behaviors in group level? Also includes an analytical analysis and investigation of dynamics of disease spreading in view of immunity-wise classification of regions/clusters.

By: Roozbeh Daneshvar, Lara Danilova-Burdess, Karen Simpson, Jeremy Barofsky, Varsha Kulkarni

• Final Paper

The Effect of Disaggregation on Infection Spreading in a social network: 'More' may not be 'Merrier'

Summary: This project analyzes the dynamics of infection spreading in the disaggregated framework of a social network using prevalence data for different countries.

By: Varsha Kulkarni

• Final Paper

Mom made me do it: Division of labor via maternal effects

Summary: We explore an alternative to cooperation for the evolution of division of labor (maternal manipulation) by means of an individual-based model.

By: Mauricio Gonzalez-Forero, Mareen Hofmann

• Final Paper

Foraging on the Move

Summary:In this project we develop a model for organisms that forage in groups while migrating (e.g. caribou, wildebeest), to understand how individuals should balance foraging and flocking behaviors.

By (Group Page): Allison Shaw, Andrew Berdahl, Kate Behrman, Liliana Salvador, Steven Lade

• Final Paper

Approaches to Panarchy

Summary: Panarchy refers to a nested set of interacting dynamical systems, each one cycling over a hierarchy of scales in time and space. This concept provides a framework for thinking about complex systems in ecology, economics, sociology, etc. We consider novel examples and applications of panarchy.

By: Barbara Bauer, Andrew Noble, Damian Winters

• Final Paper2

Spiking Neural Networks on the Cusp of Chaos: Initial Report

Summary: Spiking neural networks, even of small order, show great variability in their behavioral patterns. This paper is an initial look at how structure of small spiking networks influence their measured behavior over time. Of particular interest are networks showing non-periodic behavior, one of the tell-tale indicators of chaos in the underlying dynamics.

By: R. Watson

• Final Paper

Terrorism: Radicalization Mechanism and Spread Control

Summary: Preventing the spread of radical ideologies requires models capable of identifying areas and agents before occurrence of terrorist act. We develop a model that captures a radicalization mechanism through several intermediate stages of individuals. We show how our model can combat the development of terrorist networks even with limited information on a target terrorist network.

By(Group page): Alhaji Cherif, Hirotoshi Yoshioka, Wei Ni, Prasanta Bose

• Final Paper

Acupuncture Points Complex Networks in Human Body

Summary: The therapeutic properties of the points of the fourteen meridians are generalized on the basis of the meridian is amenable to treatment. We constructed an acupuncture complex network of a portion of the body depending on different kinds of illness to figure out interactions between acupuncture points. We use 44 common illnesses such as common cold, headache as the portion to do the research. The constructed network contains a large component of 70 nodes out of 770 acupuncture points around the body.

By : Guimei Zhu, Dave Brooks, Brian Hollar,

• Final Paper

The Roundtable - An Agent-Based Model of Conversation Dynamics

Abstract. We present and analyze an agent-based model of conversation dynamics. The model develops from intuitive assumptions derived from experimental evidence, it abstracts from conversation content and semantics while including topological and psychological information, and is driven by stochastic dynamics. The model exhibits rich behavior and can capture many aspects of real-life conversations. Its potential generalizations, including individual preferences, memory effects and more complex topologies, may find useful applications in other fields of research where dynamically-interacting and networked agents play a fundamental role.

By Lucas Lacasa, Massimo Mastrangeli and Martin Schmidt

• Working Paper

Exploring source-sink dynamics of pre-vaccination measles epidemics using a spectral formulation of Granger causality

We present a method for determining spatial contact networks from time series data of disease transmission.

By Kate Behrman, Sasha Mikheyev and Erin Taylor

• Final Paper