Networks
EwaBalajiAlbertMicheleProject MMarc OBrienBen GaydosBoston ProgressArts CollectiveJanetJonahAlexBeckyKarenKaren SteinA Bet...
SystemsThinkingsystemselementsinterrelationspurposefeedbackCommunicationssimpled the coreuse analogiesconcreteunexpectedex...
Nodes
BACDnetwork topology examples
Links
BACDnetwork topology examples
NetworkTopology
BACDnetwork topology examples
BACDnetwork topology examples
BACDnetwork topology examplesBACDnetwork topology examples
BACDnetwork topology examples
CBADnetwork topology examples
BACDnetwork topology examplesCBADnetwork topology examples
BACDnetwork topology examples
BACDnetwork topology examples
BACDnetwork topology examplesBACDnetwork topology examples
Degree:how connected a node is
Chapter 1In the ick of It
LinearMutual ties (flow in both directions)e Bucket BrigadePhoto from FEMA
Information is directional (inbound and outbound ties)e Telephone TreeCreates cascade effectReduces number of steps
Squad is more intra-connectedthan inter-connected with other squadse Military SquadTightly interconnected groupsTwo-way t...
Degree of Separation:how far away other nodes are
GSNKOTEfirst-degreeconnectionsecond-degreeconnectionthird-degreeconnectiondegree of seapartion
GKEOSTNfirst-degreeconnectionsecond-degreeconnectionthird-degreeconnectiondegree of separation
Hubs
34links connecting the ki neighbors of node i to each other, representshow nodes interconnect26. The Ci value of 0.24 meas...
Clusters
SocialNetworks
TermsA Social Network: consists of all the connections and ties withina group or collection of groupsA group is a collecti...
Sociogramswho is connected to whom
EwaBalajiAlbertMicheleProject MMarc OBrienBen GaydosBoston ProgressArts CollectiveJanetJonahAlexBeckyKarenKaren SteinA Bet...
Small World Networks
The Powerof Weak Ties
Networksand Epidemics
To figure out howa disease is spreading,look for hubs.
With Bird Flu, Right Now, Anything IsPossibleApril 19, 2013 5:36 AMby RICHARD KNOXListen to the StoryMorning Edition 4 min...
Patterns in Nature, Networks Intro
Patterns in Nature, Networks Intro
Patterns in Nature, Networks Intro
Patterns in Nature, Networks Intro
Patterns in Nature, Networks Intro
Patterns in Nature, Networks Intro
Patterns in Nature, Networks Intro
Patterns in Nature, Networks Intro
Patterns in Nature, Networks Intro
Patterns in Nature, Networks Intro
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Patterns in Nature, Networks Intro

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Slides for our discussion of network components, topology and properties.

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Patterns in Nature, Networks Intro

  1. 1. Networks
  2. 2. EwaBalajiAlbertMicheleProject MMarc OBrienBen GaydosBoston ProgressArts CollectiveJanetJonahAlexBeckyKarenKaren SteinA Better World byDesignDesign ThatMattersD-LabNadiaSandraUC BerkeleyRachelKopernikElizabethDonnyMITJackieAppropediaOrgs TEL wants toor couldwork withThe TEL TeamProfessionalNetworking HubsDesigners,Coders, etc.WakaNokeroSelcoEssmartSameerEliseDianaJICARaikiTranslators WithoutBordersEngineering forChangeSteveLesley UniversityJohnJoOperationGroundswellPATHThe TEL Network
  3. 3. SystemsThinkingsystemselementsinterrelationspurposefeedbackCommunicationssimpled the coreuse analogiesconcreteunexpectedexpose knowledgegapsBehavorial Changedirect the ridersend destinationpostcardsd bright spotsscriptmomotivate theelephantshrink the changed the feelingappeal to idenityengineer earlysuccesseshelp people growshape the pathmake it socialImpactknow yourmissionmeasure theright thingmeasure it wellverbtargetoutcomeimpact from a thingis it needed?will it get to thosewho need it?will they use itcorrectly?leverage pointstrapsopportunitiesdesignthinkingask stupidquestionsmake hope visiblejump fencessmartrecombinationsabductivereasoningdriftfail early, fail oftenharvest ideas, editapplications compellingexperienceframeworkgenerativemetaphorscombine familiarand surprisingembraceconstraintsforcedprioritizationcreate mysterycrediblehuman-scaleprincipleauthorityantiauthoritythe Sinatra testtestablecredentialsthe Velcro theory ofmemoryblacemotionviolate schemassolution focustweenvirstoriesbuild a culturestocksflows
  4. 4. Nodes
  5. 5. BACDnetwork topology examples
  6. 6. Links
  7. 7. BACDnetwork topology examples
  8. 8. NetworkTopology
  9. 9. BACDnetwork topology examples
  10. 10. BACDnetwork topology examples
  11. 11. BACDnetwork topology examplesBACDnetwork topology examples
  12. 12. BACDnetwork topology examples
  13. 13. CBADnetwork topology examples
  14. 14. BACDnetwork topology examplesCBADnetwork topology examples
  15. 15. BACDnetwork topology examples
  16. 16. BACDnetwork topology examples
  17. 17. BACDnetwork topology examplesBACDnetwork topology examples
  18. 18. Degree:how connected a node is
  19. 19. Chapter 1In the ick of It
  20. 20. LinearMutual ties (flow in both directions)e Bucket BrigadePhoto from FEMA
  21. 21. Information is directional (inbound and outbound ties)e Telephone TreeCreates cascade effectReduces number of steps
  22. 22. Squad is more intra-connectedthan inter-connected with other squadse Military SquadTightly interconnected groupsTwo-way tie between all members of squad
  23. 23. Degree of Separation:how far away other nodes are
  24. 24. GSNKOTEfirst-degreeconnectionsecond-degreeconnectionthird-degreeconnectiondegree of seapartion
  25. 25. GKEOSTNfirst-degreeconnectionsecond-degreeconnectionthird-degreeconnectiondegree of separation
  26. 26. Hubs
  27. 27. 34links connecting the ki neighbors of node i to each other, representshow nodes interconnect26. The Ci value of 0.24 measured for our net-work indicates strong clustering27. Nodes with the largest numbers oflinks were actin (33 interactions), PtdIns(4,5)P2 (20), SLC9A3R2 (12),CALM (9), RDX (8) and Ca2+ (8).ERM proteins28, and binding was indeed stronger tothreonine-to-aspartate mutation that mimics the actiphorylation (Fig. 5b and Supplementary Fig. 8). In bucilia, RDX is activated by PtdIns(4,5)P2 and phosphorylain a narrow band above basal tapers, at the site of thePtdlns(4,5)P2PLS1ANXA6Known interactionBundle protein paralogHypotheticalMolecules perstereocilium10510410310210PIP4K2BFigure 4 Interaction network for hproteins. Symbols (nodes) represenproteins or second messengers; onwith two or more interactions are pthe exception of OCM and CALB2.labels indicate deafness-associateNode colors indicate functional cla(same key as in Fig. 2b); node symrepresents protein abundance in bPtdIns(4,5)P2 and cyclic AMP arediamond node symbols. Solid linksinteractions validated with literatuSupplementary Table 3 lists all intevidence. Dotted links correspondinvolving paralogs of bundle proteilinks represent hypothetical interaexample, SLC9A3R2 interactionsThe layout of the plot is controlleddensity of links between nearby nodistribution of nodes and links in twell by a power law, which indicatplot contains a few highly connect(hubs) and many other less-connecSupplementary Figure 7 reproducefigure with each link hyperlinked treference supporting the interactio
  28. 28. Clusters
  29. 29. SocialNetworks
  30. 30. TermsA Social Network: consists of all the connections and ties withina group or collection of groupsA group is a collection of individuals defined by a commonattribute (it need not contain information about connections)
  31. 31. Sociogramswho is connected to whom
  32. 32. EwaBalajiAlbertMicheleProject MMarc OBrienBen GaydosBoston ProgressArts CollectiveJanetJonahAlexBeckyKarenKaren SteinA Better World byDesignDesign ThatMattersD-LabNadiaSandraUC BerkeleyRachelKopernikElizabethDonnyMITJackieAppropediaOrgs TEL wants toor couldwork withThe TEL TeamProfessionalNetworking HubsDesigners,Coders, etc.WakaNokeroSelcoEssmartSameerEliseDianaJICARaikiTranslators WithoutBordersEngineering forChangeSteveLesley UniversityJohnJoOperationGroundswellPATHThe TEL Network
  33. 33. Small World Networks
  34. 34. The Powerof Weak Ties
  35. 35. Networksand Epidemics
  36. 36. To figure out howa disease is spreading,look for hubs.
  37. 37. With Bird Flu, Right Now, Anything IsPossibleApril 19, 2013 5:36 AMby RICHARD KNOXListen to the StoryMorning Edition 4 min 22 secChinaFotoPress/Getty ImagesiAn international dream team of flu experts assembled in Chinatoday.Underscoring the urgency that public health agencies feel about theemergence of a new kind of bird flu, the team is headed by Dr. KeijiFukuda, the World Health Organizations top influenza scientist.Before he left Geneva, Fukuda explained the wide-open nature of

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