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Implicit Structure and Dynamics of Blogspace

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Record real-world and virtual experiences. Easy to ... BoingBoing Effect. 10/5/09. 9. 10/5/09. 9. 10/5/09. 9. 9. Clusters reflect different epidemic profiles ... – PowerPoint PPT presentation

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Title: Implicit Structure and Dynamics of Blogspace


1
Implicit Structure and Dynamics of Blogspace
  • Lada Adamic
  • Accelerating Change 2004
  • (joint work with Eytan Adar, Li Zhang, and Rajan
    Lukose)

2
Blogs and the digital experience
  • Use
  • Record real-world and virtual experiences
  • Easy to record and discuss things seen on the
    net
  • Structure blog-to-blog linking
  • Use Structure
  • Great to track memes
  • ideas spreading in the blogosphere like an
    epidemic

3
Our interest
  • Macroscopic patterns of blog epidemics
  • How does the popularity of a topic evolve over
    time?
  • Microscopic patterns of blog epidemics
  • Implicit Explicit
  • Who is getting information from whom?
  • Ranking algorithms that take advantage of
    infection patterns

4
Tracking Blogs
  • Blogdex Earliest example
  • Lets you see which blogs (and when) linked to a
    site
  • Others emerged with similar/related functionality
  • Can find epidemic profiles (popularity over time)
  • Our question do different types of information
    have different epidemic profiles

5
For Example
Popularity
Time
6
Clusters reflect different epidemic profiles
Major News front page More delayed death
(broader interest)
Slashdot huge surge followed by sharp
drop (slashdot-effect)
7
Clusters
Products, etc. Sustained over a period of time
Major-news site (editorial content) back of the
paper
8
Microscale Example Giant Microbes
9
Microscale Dynamics
  • What do we need track specific epidemics?
  • Timings
  • Graphs

b1
t0
Time of infection
t1
10
Microscale Dynamics
  • Challenges
  • Root may be unknown
  • Multiple possible paths
  • Uncrawled space, alternate media (email, voice)
  • No links

bn
b1
?
?
t0
Time of infection
t1
11
Microscale Dynamics who is getting info from whom
  • Explicit blog to blog links (easy)
  • Via links are even better
  • Implicit/Inferred transfer (harder)
  • Use ML algorithm for link inference problem
  • Support Vector Machine (SVM)
  • Logistic Regression
  • What we can use
  • Full text
  • Blogs in common
  • Links in common
  • History of infection

12
Visualization
  • Zoomgraph tool
  • Using GraphViz (by ATT) layouts
  • Simple algorithm
  • If single, explicit link exists, draw it
  • Otherwise use ML algorithm
  • Pick the most likely explicit link
  • Pick the most likely possible link
  • Tool lets you zoom around space, control
    threshold, link types, etc.

13
Giant Microbes epidemic visualization
via link
inferred link
blog
explicit link
14
iRank
  • Practical uses of inferred epidemic information
  • Can use a simpler inference (timing)
  • Finding good sources
  • Invisible authorities

b1
True source
b2
Popular site
b3
b4

b5
bn
15
iRank Algorithm
  • Draw a weighted edge for all pairs of blogs that
    cite the same URL
  • higher weight for mentions closer together
  • run PageRank
  • control for spam

t0
Time of infection
t1
16
Do Bloggers Kill Kittens?
  • Friday morning Wired writes
  • "Warning Blogs Can Be Infectious.

17
Research at the Information Dynamics Lab at
HP http//www.hpl.hp.com/research/idl ladamic_at_h
pl.hp.com
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