Chapter 3:
5. In the social network depicted in Figure 3.24, with each edge labeled as either a strong or weak
tie, which nodes satisfy the Strong Triadic Closure Property from Chapter 3, and which do
Social Networks hw1 solution
Chapter 3
5.
In the social network depicted in Figure 3.24, with each edge labeled as either a
strong or weak tie, which nodes satisfy the Strong Triadic Closure Property
Sponsored Search Markets
Chapter 15
1
05:41:12 AM
15.1 Advertising tied to search behavio
r
Web search used to have a pure motivation it seeks the
most relevant, useful, or authoritative information f
Network Models of Markets with Intermedi
aries
Chapter 11
1
05:41:14 AM
11.1 Price setting in markets
In chapters 9 and 10, we introduce models, in which buyers a
nd sellers directly interact
We have
Cascading Behavior in Networks
Chapter 19
1
05:40:55 AM
19.1 Diffusion in networks
In Chapter 16, we discussed information cascading in the resolution of popul
ation
In this chapter, we study the prob
Modeling Network Traffic Using Game The
ory
Chapter 8
1
05:40:42 AM
8.1 Traffic at equilibrium
A transportation network represented by a directed graph
Two edges with constant travel times
Two edges w
The Small-World Phenomen
on
Chapter 20
1
05:40:10 AM
The small-world experiment
Social psychologist Stanley Milgram [297, 391], who asked randoml
y chosen starter individuals to each try forwarding a
Templates, Image Pyramids, and Filter Banks
Computer Vision
Min Sun
Slides: Jayes, Hoiem and others
Fourier Bases
Teases away fast vs. slow changes in the image.
This change of b
Exercise 10.9
Buyer
x
y
z
a
3
2
1
b
6
8
2
c
4
1
3
First round:
house price x
a
0
3-0=3
b
0
6-0=6
c
0
4-0=4
S=x,y S(N)=b
y
2-0=2
8-0=8
1-0=1
z
1-0=1
2-0=2
3-0=3
Second round:
house price x
a
0
3-0=3
b
Chapter 22
Markets and Information
1
Chapter 22
05:40:19 AM
Part 7 of the textbook
In the last part of the book, we explain how different instit
utes can produce different forms of aggregate behaviors
Auctions
Chapter 9
1
05:39:51 AM
Introduction
An auction is a type of economic activity that has been bro
ught into many peoples everyday lives
eBay, Yahoo, etc.
Auctions have a long history
US govern
Matching Markets
Chapter 10
1
05:39:49 AM
Matching markets
Matching markets have a long history of study in economic
s and operations research
They capture the way in which
People may have different p
Introduction to Social Networks
Fundamental
Properties
1
05:40:05 AM
Fundamental properties
In this lecture, we introduce the following fundament
al properties of social networks
The small world prope
Homework Problem
ECS 289
Spring 2014
Problem1
There are two cities A and B joined by two routes. There are 100 travelers who begin
in city A and must travel to city B. There are two routes between A a
Chapter 8
4.
There are two cities, A and B, joined by two routes, I and II. All roads are one-way
roads. There are 100 travelers who begin in city A and must travel to city B.
Route I links city A to
Positive and Negative Relationshi
ps
Chapter 5
1
05:42:20 AM
Structural balance
Networks containing only loo
ps with even numbers of min
us signs are said to be structu
rally balanced, or balanced
Har
Graphs
Chapter 2
1
05:42:31 AM
Graph theory basic definitions
A graph is way of specifying relationships among a collecti
on of items
Nodes
edges
ARPANET in 1970
2
05:42:32 AM
Alternate drawing of the
Sample solutions for exercise No.6 Part V
Presentation on 20.04.2011 exercise session on 27.04.2011
_
16.3
(a) Good is true -> the 1st will get High signal -> he will choose to accept according to his
Image Filtering
http:/www.quora.com/How-does-Instagram-develop-their-filters
5
Many slides by Derek Hoiem
Next three classes: three views of ltering
Image lters in spa:al domain
F
Network Effects
Chapter 17
1
05:42:02 AM
Imitation
As discussed in Chapter 16, there are two reasons why indi
viduals imitate the behavior of others
Informational effects
The behavior of other people
Bargaining and Power in Networks
Chapter 12
1
05:41:10 AM
Mom: Its
time to go
to bed!
Mom: 3
minutes!
Baby: Can I
watch TV for 10
more minutes?
Baby: How
about 5?
Mom: Ok.
2
05:41:11 AM
12.1 Power in
Strong and Weak Ties
Chapter 3
1
05:41:45 AM
Ph.D. thesis of Mark Granovetter
Mark Granovetter [191] interviewed pe
ople who had recently changed jobs to
learn how they had discovered their ne
w jobs
Games
Chapter 6
1
05:40:49 AM
What is game theory and is it useful?
Many social activities involve with decision making or opti
mization
Linear, nonlinear, and integer programming with/without cons
tr
Social Networks
Homework 3
Due date: May 15, 2016
Chapter 11: #3 and supplementary problem 1.
1)
3. Consider a trading network with intermediaries in which there are two sellers S1, S2, three buyers B
Recap from Lecture 1
Pinhole camera model
Perspective projections
Focal length and field of view
Remember to use your textbook:
Chapter 2 of Szeliski
Slide Credit: Saverese
Recap - Projection matrix
R
'
$
CH 10 More Expectations and Variances
F Reading:
ch 10.1, 10.2, 10.3
FTopics:
1. Expected Values of Sums of Random Variables
2. Covariance
3. Correlation
&
%
1
'
Ch 10.1 Expected values of sums of
'
$
CH8 Bivariate Distribution
F Reading:
ch 8.1 , 8.2 , 8.3
F Topics:
1. Joint Distribution of Two Random Variables
2. Indepedent Random Variables
3. Conditional Distributions
&
%
1
'
Ch 8.1 Joint Di
'
$
Ch 9 Multivariate Distributions
F Reading:
ch 9.1
FTopics:
1. Joint distributions of n > 2 random variables
&
%
1
'
Ch 9.1 Joint Distribution of n > 2 Random Variables
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F Def.: Let X1 , X2 , , X