Difference between revisions of "CSSS 2010 Santa Fe-Readings"
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*[http://webscript.princeton.edu/%7Eicouzin/website/wp-content/plugins/bib2html/data/papers/couzin07.pdf Collective Minds] | *[http://webscript.princeton.edu/%7Eicouzin/website/wp-content/plugins/bib2html/data/papers/couzin07.pdf Collective Minds] | ||
*[http://webscript.princeton.edu/%7Eicouzin/website/wp-content/uploads/2010/05/couzin05.pdf Effective Leadership and Decision-Making in Animal Groups on the Move] | *[http://webscript.princeton.edu/%7Eicouzin/website/wp-content/uploads/2010/05/couzin05.pdf Effective Leadership and Decision-Making in Animal Groups on the Move] | ||
Lecture Slides<br> | |||
[[Media:Couzin SFI 2010.pdf | Iain's Lecture Slides]] | |||
------- | ------- | ||
===Simon DeDeo=== | ===Simon DeDeo=== | ||
For the two lectures on "Physics of Reasoning" -- | For the two lectures on "Physics of Reasoning" -- all the papers, as well as scans of the notes, are available at [http://tuvalu.santafe.edu/~simon/page6/page6.html this page]. Feel free to e-mail me at simon@santafe.edu | ||
(simon's blog page with more tasty links is at http://tuvalu.santafe.edu/~simon/ ) | |||
------ | ------ | ||
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* [[Media:Albin-FoleyIntro.pdf|Economic Complexity and Dynamics in Interactive Systems]] | * [[Media:Albin-FoleyIntro.pdf|Economic Complexity and Dynamics in Interactive Systems]] | ||
* [[Media:Minsky.pdf|Hyman Minsky and the Dilemmas of Contemporary Economic Method]] | * [[Media:Minsky.pdf|Hyman Minsky and the Dilemmas of Contemporary Economic Method]] | ||
* [[Media:CSSS2010-DF1.pdf|Lecture 1]] | |||
* [[Media:CSSS2010-DF2.pdf|Lecture 2]] | |||
---- | ---- | ||
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===Greg Leibon=== | ===Greg Leibon=== | ||
* [[Media:CSSS10Pickle.pdf | Lecture | * [[Media:CSSS10Pickle.pdf | Lecture 1 notes]] | ||
* [[Media:CSSS10Pickle(Slides).pdf| Lecture | * [[Media:CSSS10Boundary.pdf | Lecture 2 note]] | ||
* [[Media:CSSS01Quantum.pdf | Lecture 3 note]] | |||
* [[Media:CSSS10Pickle(Slides).pdf | Lecture 1 slides]] | |||
* [[Media:CSSS10Boundary(Slides).pdf | Lecture 2 slides]] | |||
* [[Media:CSSS10Quantum(Slides).pdf | Lecture 3 slides]] | |||
* [[Media:shoe.pdf | Markov Chains In A Shoebox]] | * [[Media:shoe.pdf | Markov Chains In A Shoebox]] | ||
* [[Media:pickle.pdf | Conformal Geometry of Markov Chains]] | * [[Media:pickle.pdf | Conformal Geometry of Markov Chains]] | ||
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===Jure Leskovec=== | ===Jure Leskovec=== | ||
1) -- models and link prediction in large social networks: | 1) -- models and link prediction in large social networks: | ||
[http://i.stanford.edu/~jure/pub/csss/kronecker-CSSS-jun10.pdf Lecture Slides] | |||
* [http://cs.stanford.edu/people/jure/pubs/kronecker-jmlr10.pdf Kronecker Graphs] | * [http://cs.stanford.edu/people/jure/pubs/kronecker-jmlr10.pdf Kronecker Graphs] | ||
* [http://cs.stanford.edu/people/jure/pubs/microEvol-kdd08.pdf Microscopic Evolution of Social Networks ] | * [http://cs.stanford.edu/people/jure/pubs/microEvol-kdd08.pdf Microscopic Evolution of Social Networks ] | ||
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2) -- tracking information diffusion, finding influencers and | 2) -- tracking information diffusion, finding influencers and | ||
detecting disease outbreaks in networks | detecting disease outbreaks in networks | ||
[http://i.stanford.edu/~jure/pub/csss/memetracker-CSSS-jun10.pdf Lecture Slides] | |||
* [http://cs.stanford.edu/people/jure/pubs/quotes-kdd09.pdf Meme Tracking & News Cycle Dynamics] | * [http://cs.stanford.edu/people/jure/pubs/quotes-kdd09.pdf Meme Tracking & News Cycle Dynamics] | ||
* [http://www.cs.cornell.edu/home/kleinber/kdd03-inf.pdf Maximizing the Spread of Influence through a Social Network] | * [http://www.cs.cornell.edu/home/kleinber/kdd03-inf.pdf Maximizing the Spread of Influence through a Social Network] | ||
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3) -- models of networks with positive and negative ties | 3) -- models of networks with positive and negative ties | ||
[http://i.stanford.edu/~jure/pub/csss/signedNets-CSSS-jun10.pdf Lecture Slides] | |||
* [http://www.iw3c2.org/WWW2004/docs/1p403.pdf Trust & Distrust] | * [http://www.iw3c2.org/WWW2004/docs/1p403.pdf Trust & Distrust] | ||
* [http://cs.stanford.edu/people/jure/pubs/triads-chi10.pdf Signed Networks & Social Media:] | * [http://cs.stanford.edu/people/jure/pubs/triads-chi10.pdf Signed Networks & Social Media:] | ||
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===Cosma Shalizi=== | ===Cosma Shalizi=== | ||
* [http://arxiv.org/abs/nlin.AO/0409024 Quantifying Self-Organization with Optimal Predictors]<br> | * [http://arxiv.org/abs/nlin.AO/0409024 Quantifying Self-Organization with Optimal Predictors]<br> | ||
* [http://arxiv.org/abs/nlin.AO/0307015 Methods and Techniques of Complex Systems Science: An Overview]<br> | * [http://arxiv.org/abs/nlin.AO/0307015 Methods and Techniques of Complex Systems Science: An Overview]<br> | ||
* [http://arxiv.org/abs/cs.LG/0406011 Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences]<br> | * [http://arxiv.org/abs/cs.LG/0406011 Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences]<br> | ||
* [http://arxiv.org/abs/nlin.CG/0508001 Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems]<br> | * [http://arxiv.org/abs/nlin.CG/0508001 Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems]<br> | ||
* [http://arxiv.org/abs/cond-mat/9907176 Computational Mechanics: Pattern and Prediction, Structure and Simplicity]<br> | |||
* [http://arxiv.org/abs/cond-mat/9907176 | |||
* [http://arxiv.org/abs/1001.0036 The Computational Structure of Spike Trains]<br> | * [http://arxiv.org/abs/1001.0036 The Computational Structure of Spike Trains]<br> | ||
* [http://arxiv.org/abs/q-bio.NC/0609008 Discovering Functional Communities in Dynamical Networks]<br> | * [http://arxiv.org/abs/q-bio.NC/0609008 Discovering Functional Communities in Dynamical Networks]<br> | ||
* [http://arxiv.org/abs/q-bio.NC/0506009 Measuring Shared Information and Coordinated Activity in Neuronal Networks]<br> | * [http://arxiv.org/abs/q-bio.NC/0506009 Measuring Shared Information and Coordinated Activity in Neuronal Networks]<br> | ||
* [http://arxiv.org/abs/math.PR/0305160 Optimal Nonlinear Prediction of Random Fields on Networks] | * [http://arxiv.org/abs/math.PR/0305160 Optimal Nonlinear Prediction of Random Fields on Networks] | ||
-------- | -------- | ||
[http://www.stat.cmu.edu/~cshalizi/350/ Data mining and statistical learning lecture notes]<br> | |||
[http://www.stat.cmu.edu/~cshalizi/462/ Chaos, complexity and inference lecture notes] | |||
-------- | |||
CSSS lecture slides: | |||
* [[Media:2010-06-15-info-theory.pdf|Information theory]]<br> | |||
* [[Media:2010-06-15-optimal-prediction.pdf|Optimal prediction]]<br> | |||
* [[Media:2010-06-16-complexity.pdf|Quantitative complex measures]] | |||
=== Bill Croft, Ian Maddieson, Eric Smith=== | === Bill Croft, Ian Maddieson, Eric Smith=== | ||
* [[Media:Croft2008ARA.pdf|Evolutionary Linguistics, I]] | * [[Media:Croft2008ARA.pdf|Evolutionary Linguistics, I]] | ||
* [[Media:Smith_comp_lang.pdf|Opportunities in quantitative historical linguistics]] | * [[Media:Croft_comp_lang.pdf|Evolutionary Linguistics, II]] | ||
* [[Media:Smith_comp_lang.pdf | Opportunities in quantitative historical linguistics]] | |||
* [[Media:Maddieson_comp_lang.pdf|Typological patterns in language and their relation to linguistic history]] | * [[Media:Maddieson_comp_lang.pdf|Typological patterns in language and their relation to linguistic history]] | ||
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===Alfred Hübler=== | ===Alfred Hübler=== | ||
Username/Pass: guest/guest | |||
* [http://www.how-why.com/cgi-bin/cyberprof/os.exe?document=http://www.how-why.com/phys194/Notes/index.html Physics 194 notes] | * [http://www.how-why.com/cgi-bin/cyberprof/os.exe?document=http://www.how-why.com/phys194/Notes/index.html Physics 194 notes] | ||
* [http://www.how-why.com/cgi-bin/cyberprof/os.exe?home=&document=http://www.how-why.com/ph510/Notes/index.html PHYCS510 UIUC notes] | * [http://www.how-why.com/cgi-bin/cyberprof/os.exe?home=&document=http://www.how-why.com/ph510/Notes/index.html PHYCS510 UIUC notes] | ||
---- | ---- | ||
===David Krakauer=== | |||
* [[Media:Krakauer1.pdf | Lecture 1]] | |||
* [[Media:Krakauer2.pdf | Lecture 2]] | |||
---- | |||
===Scott Pauls=== | ===Scott Pauls=== | ||
* Lecture on using the PDM on voting data. | * [[Media:CSSS10-PDM.pptx | Lecture]] on using the PDM on voting data (.pptx). | ||
* Code package | * [[Media:LecturePPT.ppt | Lecture(.PPT Version)]] | ||
* | * [https://docs.google.com/present/edit?id=0AZp-h8X5w1pVZGRuZHgzcXRfMjU0YzJkeHMyY2I&hl=en Google Docs version] for us non-powerpoint people. | ||
* [http://www.math.dartmouth.edu/~pauls/PDM_Toolkit.zip Code package]. | |||
---- | |||
===Murray Gell-Mann=== | |||
* [[Media:MGM_134.pdf | Effective Complexity]] | |||
* [[Media:Northwestern.ppt | Lecture]] |
Latest revision as of 03:53, 28 April 2011
CSSS Santa Fe 2010 |
Please review readings before lectures. Supplemental material may be posted as well.
Background Readings
Please see the Background Readings page for assignments.
Dan Rockmore
Dan's Intro Lecture
Draft intro to stat learning primer
Tanmoy Bhattacharya
Inference in Historical Processes
Liz Bradley
- Numerical Solution of Differential Equations
- Time Series Analysis
- File:BradleySlides2010.pdf
- File:BradleySyllabus2010.pdf
Tom Carter
Here is a link to a page with various background readings -- I'll be talking about some of this material, watch the wiki for days/times
Iain Couzin
- Complexity. An Informative Itinerary
- Collective Cognition in Animal Groups
- Collective Motion and Cannibalism in Locust Migratory Bands
- Collective Minds
- Effective Leadership and Decision-Making in Animal Groups on the Move
Lecture Slides
Iain's Lecture Slides
Simon DeDeo
For the two lectures on "Physics of Reasoning" -- all the papers, as well as scans of the notes, are available at this page. Feel free to e-mail me at simon@santafe.edu
(simon's blog page with more tasty links is at http://tuvalu.santafe.edu/~simon/ )
Owen Densmore
Steve Guerin and I will present modeling with NetLogo. It will have two parts, one a self-paced wiki tutorial, the second a set of real world examples of modeling we've used professionally.
Read the first page of the tutorial. Then (attempt!) to download, install, and look at the Model Library.
Peter Dodds
Nathan Eagle
Doug Erwin
Duncan Foley
- Labor, Capital and Land in the New Economy
- Economic Complexity and Dynamics in Interactive Systems
- Hyman Minsky and the Dilemmas of Contemporary Economic Method
- Lecture 1
- Lecture 2
Laura Fortunato
Greg Leibon
- Lecture 1 notes
- Lecture 2 note
- Lecture 3 note
- Lecture 1 slides
- Lecture 2 slides
- Lecture 3 slides
- Markov Chains In A Shoebox
- Conformal Geometry of Markov Chains
John Harte
Jure Leskovec
1) -- models and link prediction in large social networks: Lecture Slides
2) -- tracking information diffusion, finding influencers and detecting disease outbreaks in networks Lecture Slides
- Meme Tracking & News Cycle Dynamics
- Maximizing the Spread of Influence through a Social Network
- Outbreak Detection in Social Networks
- 2004 Election Political Blogger Networks
3) -- models of networks with positive and negative ties Lecture Slides
- Trust & Distrust
- Signed Networks & Social Media:
- Predicting Postive & Negative Links in Online Social Networks
- Governance in Social Media
Cosma Shalizi
- Quantifying Self-Organization with Optimal Predictors
- Methods and Techniques of Complex Systems Science: An Overview
- Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
- Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems
- Computational Mechanics: Pattern and Prediction, Structure and Simplicity
- The Computational Structure of Spike Trains
- Discovering Functional Communities in Dynamical Networks
- Measuring Shared Information and Coordinated Activity in Neuronal Networks
- Optimal Nonlinear Prediction of Random Fields on Networks
Data mining and statistical learning lecture notes
Chaos, complexity and inference lecture notes
CSSS lecture slides:
Bill Croft, Ian Maddieson, Eric Smith
Alfred Hübler
Username/Pass: guest/guest
David Krakauer
Scott Pauls
- Lecture on using the PDM on voting data (.pptx).
- Lecture(.PPT Version)
- Google Docs version for us non-powerpoint people.
- Code package.