Transcript slides - Chrissnijders
Social Networks
TU/e - 0ZM05/0EM15/0A150
1
TU/e - 0ZM05/0EM15/0A150
Obesity as a networked concept 2
TU/e - 0ZM05/0EM15/0A150
3
The same goes for smoking …
TU/e - 0ZM05/0EM15/0A150
4
www.tue-tm.org/INAM
All course info, literature, slides, and messages can be found here.
Check regularly!
TU/e - 0ZM05/0EM15/0A150
5
Today
Course design and content Introduction to network analysis and concepts
TU/e - 0ZM05/0EM15/0A150
6
Lecturers
Chris Snijders Uwe Matzat Rudi Bekkers Mila Davids Gerrit Rooks [email protected] [email protected]
TU/e - 0ZM05/0EM15/0A150
7
The course: organization
Three courses: 0ZM05 (5 ects) 0EM15 (6 ects) 0A150 (3 ects) Lectures every week on Wednesdays, hours 7 and 8. Later in the program less lecture time, more "assignment time" (see the course website).
Different courses, so not everybody has to do the same ...
8
TU/e - 0ZM05/0EM15/0A150
Topic
Basic stuff (about 5 lectures) Assignment CS Assignment UM Personal and business networks + assignment GR Dynamic capabilities and knowledge transfer in networks Exam
0em15
Yes Yes Yes No Yes
0zm05
Yes Yes Yes No No
0a150
Yes (have to be there) Yes No Yes No Yes Yes No + survey completion (so that you experience what a network survey feels like, and we can analyze the data during class and assignments)
TU/e - 0ZM05/0EM15/0A150
9
TU/e - 0ZM05/0EM15/0A150
10
Course requirements
0em15/0zm05: Two (group of 2) assignments + written exam. Grade = 50% assignments + 50% exam. Both assignments and the exam should be at least a 4.0. Final grade should be at least 5.5.
For 0a150 it’s the average of the two assignments, where both should be at least 4.0 and the average at least 5.5
TU/e - 0ZM05/0EM15/0A150
11
To do: register in Studyweb (if possible)
TU/e - 0ZM05/0EM15/0A150
12
TU/e - 0ZM05/0EM15/0A150
13
Course aim
knowledge about concepts in network theory, and being able to apply that knowledge (with an emphasis on innovation and alliances)
14
TU/e - 0ZM05/0EM15/0A150
The setup in some more detail
Network theory and background Introduction: what are they, why important … Four basic network arguments Kinds of network data (collection) Typical network concepts Visualization and analysis
TU/e - 0ZM05/0EM15/0A150
15
TU/e - 0ZM05/0EM15/0A150
16
It’s about making our 'social space' visible
"If we ever get to the point of charting a whole city or a whole nation, we would have … a picture of a vast solar system of intangible structures, powerfully influencing conduct, as gravitation does in space. Such an invisible structure underlies society and has its influence in determining the conduct of society as a whole."
Jacob L. Moreno
New York Times
, April 13, 1933
17
TU/e - 0ZM05/0EM15/0A150
We live in a connected world
TU/e - 0ZM05/0EM15/0A150 “To speak of social life is to speak of the association between people – their associating in work and in play, in love and in war, to trade or to worship, to help or to hinder. It is in the social relations men establish that their interests find expression and their desires become realized.”
Peter M. Blau
Exchange and Power in Social Life
, 1964
18
Why do networks matter?
TU/e - 0ZM05/0EM15/0A150
19
Why do networks matter?
TU/e - 0ZM05/0EM15/0A150
20
Social Networks – a (cheesy) introduction
http://www.youtube.com/w atch?v=6a_KF7TYKVc
TU/e - 0ZM05/0EM15/0A150
21
Social network analysis – it's core
An interdisciplinary perspective emphasizing structural relationships as key explanatory concepts and principles: • Structural properties of social formations are contexts that shape the perceptions, beliefs, attitudes, and actions of individuals and collectivities • Social influence and collective action may be facilitated and/or constrained by direct and indirect exchanges (transactions) among social actors possessing differential resources (e.g., information) • Actors and transactions/interactions between actors are embedded , i.e. located within actual situational contexts
TU/e - 0ZM05/0EM15/0A150
22
The network perspective Two firms in the same market.
Which firm performs better (say, is more innovative): A or B?
A B
TU/e - 0ZM05/0EM15/0A150
This depends on:
•Cost effectiveness •Organizational structure •Corporate culture •Flexibility •Supply chain management •…
23
The network perspective Two firms in the same market.
Which firm performs better (say, is more innovative): A or B?
A B and ... on the structure of the network
TU/e - 0ZM05/0EM15/0A150
Note Networks are one way of dealing with “market imperfection” 24
Multi-level and interdisciplinary
Network applications appear in economics) diverse substantive fields mostly social sciences – anthropology, management, political science, public health, sociology (and recently also in of Studies span micro- meso- & macro-levels of analysis: • personal social & health support systems • children’s play groups, high school cliques • employee performance • neighboring behavior, community participation • work teams, voluntary associations, social movements • military combat platoons, terrorist cells • corporate strategic alliances, board interlocks • international relations: trade, aid, war & peace •Internet relations: Twitter, LinkedIn, Facebook
TU/e - 0ZM05/0EM15/0A150
25
It's a science ...
TU/e - 0ZM05/0EM15/0A150
26
Example: crime research Example topics
-"Cold case" research - forensic psychiatry -(youth) crime -...
TU/e - 0ZM05/0EM15/0A150
27
Articles with Network* Keyword 5000 4000 3000
SocAbs
2000
EconLit
1000
4/25/2020
0 1965-70 1970-75 1975-80 1980-84 1985-89 1990-94 1995-99 2000-04 YEAR
SOURCES: Sociological Abstracts, EconLit
Network analysis: origins
TU/e - 0ZM05/0EM15/0A150
Started in 1920s, Jacob L. Moreno pioneered social network analysis for his “psychodrama” therapy. He used sociomatrices and hand-drawn sociograms to display children’s likes and dislikes of classmates as directed graphs ( digraphs ).
29
Moreno’s socio-matrix
TU/e - 0ZM05/0EM15/0A150
30
… displayed as a sociogram
TU/e - 0ZM05/0EM15/0A150
31
Example: A targeted approach to HIV prevention
Think about similar examples for: • Introduction of new products into target groups • …
TU/e - 0ZM05/0EM15/0A150
32
Modern computing makes a big difference
“Visualization has been a key component of social network analyses from the beginning, proliferating into today’s dazzling computer-based multidimensional displays” (Freeman 2001)
33
TU/e - 0ZM05/0EM15/0A150
Social network software 1) 2) 3) UCINet – Many things on network analysis Lin Freeman, Steve Borgatti, Martin Everett MultiNet – Whole Network Analysis + Nodal Characteristics P*Star – Dyadic Analysis – Stan Wasserman 4) 5) 6) 7) NodeXL (an Excel plugin) – Marc Smith Pajek – Network Visualization – Supersedes Krackplot StocNet – Tom Snijders - collected programs for, e.g., analysis of dynamic networks … and many others
NB Even though computers are fast, really large networks can still be a real problem
TU/e - 0ZM05/0EM15/0A150
34
Definitions and other boring stuff
TU/e - 0ZM05/0EM15/0A150
35
Social network basics
A network (or graph) contains a set of actors (or nodes, objects, vertices), and a mapping of relations (or ties, or edges, connections) between the actors 1 2 For instance: Actors: persons Relationships: “participates in the same course as” Or: Actors: organizations Relationships: have formed an alliance
TU/e - 0ZM05/0EM15/0A150
36
Social network concepts: ties
Relationships can be directed: 1 2 For instance: person 1 likes person 2 Symmetrical by choice: 1 Person 1 likes 2, 2 likes 1 Symmetrical by definition: 1 Person 1 is married to 2 (usually depicted as) 1 2 2 2
TU/e - 0ZM05/0EM15/0A150
37
Social network concepts: weights
Relationships can carry weights : 1 3 2 4 Actors: persons Relationships: know each other 3 and 4 know each other better (stronger tie) Actors can have a variety of properties associated with them:
TU/e - 0ZM05/0EM15/0A150
38
Social networks: translating arguments
There is reciprocity: whenever there is a tie from a to b, there also is a tie from b back to a Actor A is powerful: many connections go through A 1 2
TU/e - 0ZM05/0EM15/0A150
3
39
Quantifying matters through network concepts
Actor characteristics: outdegree indegree betweenness ... (and many more) Network characteristics density segmentation distribution of outdegrees ... (and many more)
TU/e - 0ZM05/0EM15/0A150
40
TU/e - 0ZM05/0EM15/0A150
More examples 41
An example of a modern network: 9-11 Hijackers Network
TU/e - 0ZM05/0EM15/0A150
SOURCE: Valdis Krebs http://www.orgnet.com/
42
OECD Trade Flows 1981-1992
Note: practical use of visualization diminishes as networks grow larger SOURCE: Lothar Krempel http://www.mpi-fg-koeln.mpg.de/~lk/netvis.html
TU/e - 0ZM05/0EM15/0A150
43
Internet facilitates social networking…
TU/e - 0ZM05/0EM15/0A150
44
… for recreational use …
TU/e - 0ZM05/0EM15/0A150
45
… also for business purposes …
http://www.youtube.com/watch?v=6SSR2tg5n_U
TU/e - 0ZM05/0EM15/0A150
46
http://www.vivalogo.com/vl-resources/open source-social-networking-software.htm
BTW Lots of businesses are willing to do the dirty work for you …
TU/e - 0ZM05/0EM15/0A150
47
SOURCE: Brandes, Raab and Wagner (2001)
TU/e - 0ZM05/0EM15/0A150
48
TU/e - 0ZM05/0EM15/0A150
49
… and can be restructured to reveal the “real” hierarchy!
50
TU/e - 0ZM05/0EM15/0A150
Networks and innovation
TU/e - 0ZM05/0EM15/0A150
51
Why networks & innovation?
Classic innovation studies focus mainly on characteristics of individuals or firms to explain innovation e.g. firm size and innovativeness However, innovation, is inherently social in nature e.g. firms have relations with other firms and consequently access to additional external resources Hence, networks of social relations between actors (individuals and organizations) may be important factors in explaining innovation and innovation may change networks of social relations as well
52
TU/e - 0ZM05/0EM15/0A150
Why networks and alliance management?
The knowledge economy is a network economy
Third Industrial Revolution Second Industrial Revolution CEO Guild Master Master Master Staff Divisions
Networked model: Economies of skill:
-access to knowledge -co-development -leverage knowledge -focus on core
competences
-learn and innovate
‘Stand alone’ model:
- Economies of scale - Optimize assets Pupil Pupil Pupil Organizational models are transforming from “stand alone” to “networked”
TU/e - 0ZM05/0EM15/0A150
53
CEOs rate alliances among the most important management tools
TU/e - 0ZM05/0EM15/0A150
Bain researched the 25 most popular management tools in a survey among 960 international executives
• Alliances are among the 10 most widely used tools by top executives • 63% of them use alliances • Note that other tools involve alliance and network related aspects as well: CRM, outsourcing, growth strategies, supply chain management Source: Rigby, 2005, Management Tools 2005, Bain & Company
54
Alliances lead to networks
Network in Flat Screens 2000-2001 Source: De Man, 2006,
Alliantiebesturing
In 2 years time 75% of the firms in the industry are directly or indirectly connected
TU/e - 0ZM05/0EM15/0A150
55
Network questions and arguments
TU/e - 0ZM05/0EM15/0A150
57
Typicalities of network arguments
Non-linear effects can occur easily (cf “Small world phenomenon”) in networks [lecture 3] Data collection often daunting = “is being eaten by”
TU/e - 0ZM05/0EM15/0A150
58
TU/e - 0ZM05/0EM15/0A150
59
Typical network related questions
Which of these actors has the best position in the network?
Example: firms in alliance networks
Which kinds of networks are best for <…> purposes?
Example: R&D teams
Which are the key relations in the network?
Example: terrorism
60
TU/e - 0ZM05/0EM15/0A150
Networks = Y or Networks = X
In most social science applications, networks are considered as an independent variable
.
For instance Firm A performs better than B because firm A is embedded in a network with a lot of ties (a network of higher “density”) or Person A performs better than B because person A has a lot of ties to other persons and person B doesn’t (firm A has a higher “outdegree”)
61
TU/e - 0ZM05/0EM15/0A150
Networks = Y or Networks = X
Sometimes: networks as the dependent variable For instance: How do the social networks of successful people differ from the social networks of others? (and why is that?) And, even rarer: dynamic network theory For instance: How do the friendship networks of people change over time?
TU/e - 0ZM05/0EM15/0A150
62
Using network arguments...
Make sure that you define the actors/nodes, and what the ties between them represent (directed?, weighted?).
Make clear how and what (kind of) network characteristics drive your result. There are so many network characteristics … think hard!
Shop around for arguments in areas unrelated to your own! (where perhaps only the nodes and the ties are different!) “The best ideas already exist”
TU/e - 0ZM05/0EM15/0A150
63
Closure
competitive advantage stems from managing risk; closed networks enhance communication and enforcement of sanctions
Brokerage
competitive advantage stems from managing information access and control; networks that span structural holes provide the better opportunities
Contagion
observable behavior of others is taken as a signal of proper behavior. [1] information is not a clear guide to behavior, so contagion by cohesion : you imitate the behavior of those you are connected to [2] contagion by equivalence : you imitate the behavior of those others who are in a structurally equivalent position
Prominence
information is not a clear guide to behavior, so the prominence of an individual or group is taken as a signal of quality
TU/e - 0ZM05/0EM15/0A150
64
To Do:
follow the directions on
www.tue-tm.org/INAM
Studyweb: register!
TU/e - 0ZM05/0EM15/0A150
65