SlideShare a Scribd company logo
1 of 33
Distributed Computing Seminar Lecture 5: Graph Algorithms & PageRank Christophe Bisciglia, Aaron Kimball, & Sierra Michels-Slettvet Summer 2007 Except as otherwise noted, the content of this presentation is © 2007 Google Inc. and licensed under the Creative Commons Attribution 2.5 License.
Outline ,[object Object],[object Object],[object Object],[object Object]
Motivating Concepts ,[object Object],[object Object],[object Object],[object Object]
Breadth-First Search ,[object Object],[object Object]
Breadth-First Search & MapReduce ,[object Object],[object Object]
Breadth-First Search & MapReduce  ,[object Object],[object Object]
Graph Representations ,[object Object]
Direct References ,[object Object],[object Object],[object Object],[object Object],class GraphNode { Object data; Vector<GraphNode> out_edges; GraphNode  iter_next; }
Adjacency Matrices ,[object Object],[object Object],0 1 0 1 4 0 0 1 0 3 1 1 0 1 2 1 0 1 0 1 4 3 2 1
Adjacency Matrices: Sparse Representation ,[object Object],[object Object],[object Object]
Sparse Matrix Representation ,[object Object],[object Object],[object Object],[object Object]
Sparse Matrix Representation ,[object Object],[object Object],[object Object],[object Object]
Finding the Shortest Path ,[object Object],[object Object],[object Object],This is called the single-source shortest path problem. (a.k.a. SSSP)
Finding the Shortest Path: Intuition ,[object Object],[object Object],[object Object],[object Object],[object Object]
From Intuition to Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object]
What This Gives Us ,[object Object],[object Object],[object Object],[object Object]
Blow-up and Termination ,[object Object],[object Object],[object Object],[object Object],[object Object]
Adding weights ,[object Object],[object Object],[object Object],[object Object]
Comparison to Dijkstra ,[object Object],[object Object],[object Object]
PageRank: Random Walks Over The Web ,[object Object],[object Object],[object Object]
PageRank: Visually
PageRank: Formula ,[object Object],[object Object],[object Object],[object Object],[object Object]
PageRank: Intuition ,[object Object],[object Object],[object Object],[object Object]
PageRank: Issues ,[object Object],[object Object],[object Object]
PageRank: First Implementation ,[object Object],[object Object],[object Object],[object Object]
Distribution of the Algorithm ,[object Object],[object Object],[object Object],[object Object]
Distribution of the Algorithm ,[object Object],[object Object],[object Object],[object Object]
 
Phase 1: Parse HTML ,[object Object],[object Object],[object Object],[object Object]
Phase 2: PageRank Distribution ,[object Object],[object Object],[object Object],[object Object]
Phase 2: PageRank Distribution ,[object Object],[object Object],[object Object],[object Object]
Finishing up... ,[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

R-programming-training-in-mumbai
R-programming-training-in-mumbaiR-programming-training-in-mumbai
R-programming-training-in-mumbaiUnmesh Baile
 
Discrete Mathematics Presentation
Discrete Mathematics PresentationDiscrete Mathematics Presentation
Discrete Mathematics PresentationSalman Elahi
 
R and Visualization: A match made in Heaven
R and Visualization: A match made in HeavenR and Visualization: A match made in Heaven
R and Visualization: A match made in HeavenEdureka!
 
What Makes Graph Queries Difficult?
What Makes Graph Queries Difficult?What Makes Graph Queries Difficult?
What Makes Graph Queries Difficult?Gábor Szárnyas
 
SCALABLE PATTERN MATCHING OVER COMPRESSED GRAPHS VIA DE-DENSIFICATION
SCALABLE PATTERN MATCHING OVER COMPRESSED GRAPHS VIA DE-DENSIFICATIONSCALABLE PATTERN MATCHING OVER COMPRESSED GRAPHS VIA DE-DENSIFICATION
SCALABLE PATTERN MATCHING OVER COMPRESSED GRAPHS VIA DE-DENSIFICATIONaftab alam
 
Mapping Graph Queries to PostgreSQL
Mapping Graph Queries to PostgreSQLMapping Graph Queries to PostgreSQL
Mapping Graph Queries to PostgreSQLGábor Szárnyas
 
Network analysis lecture
Network analysis lectureNetwork analysis lecture
Network analysis lectureSara-Jayne Terp
 
Writing a Cypher Engine in Clojure
Writing a Cypher Engine in ClojureWriting a Cypher Engine in Clojure
Writing a Cypher Engine in ClojureGábor Szárnyas
 
Silicon valleycodecamp2013
Silicon valleycodecamp2013Silicon valleycodecamp2013
Silicon valleycodecamp2013Sanjeev Mishra
 
RDataMining slides-r-programming
RDataMining slides-r-programmingRDataMining slides-r-programming
RDataMining slides-r-programmingYanchang Zhao
 
Dijkstra’S Algorithm
Dijkstra’S AlgorithmDijkstra’S Algorithm
Dijkstra’S Algorithmami_01
 
Trends In Graph Data Management And Mining
Trends In Graph Data Management And MiningTrends In Graph Data Management And Mining
Trends In Graph Data Management And MiningSrinath Srinivasa
 
Hadoop in sigmod 2011
Hadoop in sigmod 2011Hadoop in sigmod 2011
Hadoop in sigmod 2011Bin Cai
 
CS 542 -- Query Optimization
CS 542 -- Query OptimizationCS 542 -- Query Optimization
CS 542 -- Query OptimizationJ Singh
 

What's hot (19)

R-programming-training-in-mumbai
R-programming-training-in-mumbaiR-programming-training-in-mumbai
R-programming-training-in-mumbai
 
Dfg &amp; sg ppt (1)
Dfg &amp; sg ppt (1)Dfg &amp; sg ppt (1)
Dfg &amp; sg ppt (1)
 
Discrete Mathematics Presentation
Discrete Mathematics PresentationDiscrete Mathematics Presentation
Discrete Mathematics Presentation
 
R and Visualization: A match made in Heaven
R and Visualization: A match made in HeavenR and Visualization: A match made in Heaven
R and Visualization: A match made in Heaven
 
What Makes Graph Queries Difficult?
What Makes Graph Queries Difficult?What Makes Graph Queries Difficult?
What Makes Graph Queries Difficult?
 
SCALABLE PATTERN MATCHING OVER COMPRESSED GRAPHS VIA DE-DENSIFICATION
SCALABLE PATTERN MATCHING OVER COMPRESSED GRAPHS VIA DE-DENSIFICATIONSCALABLE PATTERN MATCHING OVER COMPRESSED GRAPHS VIA DE-DENSIFICATION
SCALABLE PATTERN MATCHING OVER COMPRESSED GRAPHS VIA DE-DENSIFICATION
 
Mapping Graph Queries to PostgreSQL
Mapping Graph Queries to PostgreSQLMapping Graph Queries to PostgreSQL
Mapping Graph Queries to PostgreSQL
 
Network analysis lecture
Network analysis lectureNetwork analysis lecture
Network analysis lecture
 
Writing a Cypher Engine in Clojure
Writing a Cypher Engine in ClojureWriting a Cypher Engine in Clojure
Writing a Cypher Engine in Clojure
 
Silicon valleycodecamp2013
Silicon valleycodecamp2013Silicon valleycodecamp2013
Silicon valleycodecamp2013
 
RDataMining slides-r-programming
RDataMining slides-r-programmingRDataMining slides-r-programming
RDataMining slides-r-programming
 
Dstar Lite
Dstar LiteDstar Lite
Dstar Lite
 
Fourier Transform Assignment Help
Fourier Transform Assignment HelpFourier Transform Assignment Help
Fourier Transform Assignment Help
 
Hadoop exercise
Hadoop exerciseHadoop exercise
Hadoop exercise
 
Dijkstra’S Algorithm
Dijkstra’S AlgorithmDijkstra’S Algorithm
Dijkstra’S Algorithm
 
Trends In Graph Data Management And Mining
Trends In Graph Data Management And MiningTrends In Graph Data Management And Mining
Trends In Graph Data Management And Mining
 
Hadoop in sigmod 2011
Hadoop in sigmod 2011Hadoop in sigmod 2011
Hadoop in sigmod 2011
 
Shortest path analysis
Shortest path analysis Shortest path analysis
Shortest path analysis
 
CS 542 -- Query Optimization
CS 542 -- Query OptimizationCS 542 -- Query Optimization
CS 542 -- Query Optimization
 

Viewers also liked

Implementing page rank algorithm using hadoop map reduce
Implementing page rank algorithm using hadoop map reduceImplementing page rank algorithm using hadoop map reduce
Implementing page rank algorithm using hadoop map reduceFarzan Hajian
 
Faunus: Graph Analytics Engine
Faunus: Graph Analytics EngineFaunus: Graph Analytics Engine
Faunus: Graph Analytics EngineMarko Rodriguez
 
PageRank and Related Methods
PageRank and Related MethodsPageRank and Related Methods
PageRank and Related MethodsJohn Breslin
 
page ranking algorithm
page ranking algorithmpage ranking algorithm
page ranking algorithmJaved Khan
 
Page rank and hyperlink
Page rank and hyperlink Page rank and hyperlink
Page rank and hyperlink Silicon
 
The Google Pagerank algorithm - How does it work?
The Google Pagerank algorithm - How does it work?The Google Pagerank algorithm - How does it work?
The Google Pagerank algorithm - How does it work?Kundan Bhaduri
 
Page rank algorithm
Page rank algorithmPage rank algorithm
Page rank algorithmJunghoon Kim
 
Ranking algorithms
Ranking algorithmsRanking algorithms
Ranking algorithmsAnkit Raj
 
Pagerank Algorithm Explained
Pagerank Algorithm ExplainedPagerank Algorithm Explained
Pagerank Algorithm Explainedjdhaar
 

Viewers also liked (14)

Google PageRank
Google PageRankGoogle PageRank
Google PageRank
 
Hadoop programming
Hadoop programmingHadoop programming
Hadoop programming
 
Implementing page rank algorithm using hadoop map reduce
Implementing page rank algorithm using hadoop map reduceImplementing page rank algorithm using hadoop map reduce
Implementing page rank algorithm using hadoop map reduce
 
Faunus: Graph Analytics Engine
Faunus: Graph Analytics EngineFaunus: Graph Analytics Engine
Faunus: Graph Analytics Engine
 
PageRank and Related Methods
PageRank and Related MethodsPageRank and Related Methods
PageRank and Related Methods
 
Link Analysis (RBY)
Link Analysis (RBY)Link Analysis (RBY)
Link Analysis (RBY)
 
page ranking algorithm
page ranking algorithmpage ranking algorithm
page ranking algorithm
 
PageRank
PageRankPageRank
PageRank
 
Seo and page rank algorithm
Seo and page rank algorithmSeo and page rank algorithm
Seo and page rank algorithm
 
Page rank and hyperlink
Page rank and hyperlink Page rank and hyperlink
Page rank and hyperlink
 
The Google Pagerank algorithm - How does it work?
The Google Pagerank algorithm - How does it work?The Google Pagerank algorithm - How does it work?
The Google Pagerank algorithm - How does it work?
 
Page rank algorithm
Page rank algorithmPage rank algorithm
Page rank algorithm
 
Ranking algorithms
Ranking algorithmsRanking algorithms
Ranking algorithms
 
Pagerank Algorithm Explained
Pagerank Algorithm ExplainedPagerank Algorithm Explained
Pagerank Algorithm Explained
 

Similar to Lec5 Pagerank

MapReduceAlgorithms.ppt
MapReduceAlgorithms.pptMapReduceAlgorithms.ppt
MapReduceAlgorithms.pptCheeWeiTan10
 
Machine Learning and GraphX
Machine Learning and GraphXMachine Learning and GraphX
Machine Learning and GraphXAndy Petrella
 
Behm Shah Pagerank
Behm Shah PagerankBehm Shah Pagerank
Behm Shah Pagerankgothicane
 
PowerLyra@EuroSys2015
PowerLyra@EuroSys2015PowerLyra@EuroSys2015
PowerLyra@EuroSys2015realstolz
 
1 chayes
1 chayes1 chayes
1 chayesYandex
 
Graph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
Graph Analytics - From the Whiteboard to Your Toolbox - Sam LermaGraph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
Graph Analytics - From the Whiteboard to Your Toolbox - Sam LermaPyData
 
Multinomial Logistic Regression with Apache Spark
Multinomial Logistic Regression with Apache SparkMultinomial Logistic Regression with Apache Spark
Multinomial Logistic Regression with Apache SparkDB Tsai
 
Alpine Spark Implementation - Technical
Alpine Spark Implementation - TechnicalAlpine Spark Implementation - Technical
Alpine Spark Implementation - Technicalalpinedatalabs
 
Streaming Python on Hadoop
Streaming Python on HadoopStreaming Python on Hadoop
Streaming Python on HadoopVivian S. Zhang
 
Parallel algorithms
Parallel algorithmsParallel algorithms
Parallel algorithmsguest084d20
 
Graph convolutional networks in apache spark
Graph convolutional networks in apache sparkGraph convolutional networks in apache spark
Graph convolutional networks in apache sparkEmiliano Martinez Sanchez
 
Graph Analyses with Python and NetworkX
Graph Analyses with Python and NetworkXGraph Analyses with Python and NetworkX
Graph Analyses with Python and NetworkXBenjamin Bengfort
 
Chapter8-Link_Analysis.pptx
Chapter8-Link_Analysis.pptxChapter8-Link_Analysis.pptx
Chapter8-Link_Analysis.pptxAmenahAbbood
 
Chapter8-Link_Analysis (1).pptx
Chapter8-Link_Analysis (1).pptxChapter8-Link_Analysis (1).pptx
Chapter8-Link_Analysis (1).pptxAmenahAbbood
 
Social network-analysis-in-python
Social network-analysis-in-pythonSocial network-analysis-in-python
Social network-analysis-in-pythonJoe OntheRocks
 

Similar to Lec5 Pagerank (20)

MapReduceAlgorithms.ppt
MapReduceAlgorithms.pptMapReduceAlgorithms.ppt
MapReduceAlgorithms.ppt
 
Machine Learning and GraphX
Machine Learning and GraphXMachine Learning and GraphX
Machine Learning and GraphX
 
Behm Shah Pagerank
Behm Shah PagerankBehm Shah Pagerank
Behm Shah Pagerank
 
PowerLyra@EuroSys2015
PowerLyra@EuroSys2015PowerLyra@EuroSys2015
PowerLyra@EuroSys2015
 
Dijkstra
DijkstraDijkstra
Dijkstra
 
d
dd
d
 
1 chayes
1 chayes1 chayes
1 chayes
 
Graph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
Graph Analytics - From the Whiteboard to Your Toolbox - Sam LermaGraph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
Graph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
 
Lecture set 5
Lecture set 5Lecture set 5
Lecture set 5
 
Multinomial Logistic Regression with Apache Spark
Multinomial Logistic Regression with Apache SparkMultinomial Logistic Regression with Apache Spark
Multinomial Logistic Regression with Apache Spark
 
Alpine Spark Implementation - Technical
Alpine Spark Implementation - TechnicalAlpine Spark Implementation - Technical
Alpine Spark Implementation - Technical
 
Streaming Python on Hadoop
Streaming Python on HadoopStreaming Python on Hadoop
Streaming Python on Hadoop
 
Parallel algorithms
Parallel algorithmsParallel algorithms
Parallel algorithms
 
Graph convolutional networks in apache spark
Graph convolutional networks in apache sparkGraph convolutional networks in apache spark
Graph convolutional networks in apache spark
 
Lecture13
Lecture13Lecture13
Lecture13
 
Graph Analyses with Python and NetworkX
Graph Analyses with Python and NetworkXGraph Analyses with Python and NetworkX
Graph Analyses with Python and NetworkX
 
Hadoop classes in mumbai
Hadoop classes in mumbaiHadoop classes in mumbai
Hadoop classes in mumbai
 
Chapter8-Link_Analysis.pptx
Chapter8-Link_Analysis.pptxChapter8-Link_Analysis.pptx
Chapter8-Link_Analysis.pptx
 
Chapter8-Link_Analysis (1).pptx
Chapter8-Link_Analysis (1).pptxChapter8-Link_Analysis (1).pptx
Chapter8-Link_Analysis (1).pptx
 
Social network-analysis-in-python
Social network-analysis-in-pythonSocial network-analysis-in-python
Social network-analysis-in-python
 

More from Jeff Hammerbacher (20)

20120223keystone
20120223keystone20120223keystone
20120223keystone
 
20100714accel
20100714accel20100714accel
20100714accel
 
20100608sigmod
20100608sigmod20100608sigmod
20100608sigmod
 
20100513brown
20100513brown20100513brown
20100513brown
 
20100423sage
20100423sage20100423sage
20100423sage
 
20100418sos
20100418sos20100418sos
20100418sos
 
20100301icde
20100301icde20100301icde
20100301icde
 
20100201hplabs
20100201hplabs20100201hplabs
20100201hplabs
 
20100128ebay
20100128ebay20100128ebay
20100128ebay
 
20091203gemini
20091203gemini20091203gemini
20091203gemini
 
20091203gemini
20091203gemini20091203gemini
20091203gemini
 
20091110startup2startup
20091110startup2startup20091110startup2startup
20091110startup2startup
 
20091030nasajpl
20091030nasajpl20091030nasajpl
20091030nasajpl
 
20091027genentech
20091027genentech20091027genentech
20091027genentech
 
Mårten Mickos's presentation "Open Source: Why Freedom Makes a Better Busines...
Mårten Mickos's presentation "Open Source: Why Freedom Makes a Better Busines...Mårten Mickos's presentation "Open Source: Why Freedom Makes a Better Busines...
Mårten Mickos's presentation "Open Source: Why Freedom Makes a Better Busines...
 
20090622 Velocity
20090622 Velocity20090622 Velocity
20090622 Velocity
 
20090422 Www
20090422 Www20090422 Www
20090422 Www
 
20090309berkeley
20090309berkeley20090309berkeley
20090309berkeley
 
20081030linkedin
20081030linkedin20081030linkedin
20081030linkedin
 
20081022cca
20081022cca20081022cca
20081022cca
 

Recently uploaded

Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 

Recently uploaded (20)

Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 

Lec5 Pagerank

  • 1. Distributed Computing Seminar Lecture 5: Graph Algorithms & PageRank Christophe Bisciglia, Aaron Kimball, & Sierra Michels-Slettvet Summer 2007 Except as otherwise noted, the content of this presentation is © 2007 Google Inc. and licensed under the Creative Commons Attribution 2.5 License.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.  
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.