**(Geog 5076) Network Data Analysis and Models**

Tzai-Hung WEN (NTU Geography) E-mail: wenthung@ntu.edu.tw

Labs: Using R for network analysis

Lab 0. Warm up:
RMarkdown demo (點滑鼠右鍵下載
rmd file)
*
延伸教材 *
R
Markdown: Dynamic Documents for R

Lab 1.
Network data and visualization

Lab 2.
Ego-network and structure hole

Lab 3.
Centrality measures

Lab 4.
Subgroups and community detection (*
延伸教材 *
Girvan-Newman algorithm)

Lab 5. Blockmodeling and Structure Equivalence (*
延伸教材 *
CONCOR algorithm)

Lab 6. Network-level measures and two-mode networks

**Labs: Network modeling with R**

Lab 1. Network autocorrelation model
(* 延伸教材 *
Modeling social influence |
Structure and bias )

Lab 2. Quadratic Assignment Procedure (QAP) Regression (* 延伸教材 *
Predicting with networks )

Lab 3. Exponential Random Graph Models (ERGMs) (* 延伸教材 *
ERGMs for social networks )

Lab 4. Small-world and Scale-free network models (* 延伸教材 *
Building
network
models )

Lab 5. Network diffusion process
(* 延伸教材 *
Simulating SI diffusion |
Network modeling for epidemics )

Lab 6. Network flow model: population mobility (* 延伸教材 *
New Law of intercity mobility )

**Reading Materials: Exploring the
Spatial-Social Networks**

**Network Visualization:**
Spatial arrangement of social and economic networks
among villages in Nang Rong District, Thailand.
*Social Networks*
12(4): 311–337, 1999.

**Ego-networks:**
Follow thy neighbor: connecting the social and the spatial networks on
Twitter. *Computers, Environment and Urban Systems* (In Press,
Corrected Proof, 2014).

**Centrality:**
Centrality measures in spatial networks of urban streets.
*Physical Review E*, 73:036125, 2006.

**Subgroups:**
Linking
cyber and physical spaces through community detection and clustering in
social media feeds.* Computers, Environment and Urban Systems*
(In Press, Corrected Proof, 2014).

**Structure Equivalence**:
Spatializing social networks: geographies of gang
rivalry, territoriality, and violence in Los Angeles. *Annals of
the Association of American Geographers*, 100(2), 307-326, 2010.

**Two-mode Networks**:
Mapping the evolution of hierarchical and regional tendencies in the world
city network, 2000–2010, *Computers, Environment and Urban Systems*,
43: 51-66, 2014.

**Network autocorrelation**:
Spatializing the social networks of gangs to explore
patterns of violence. *Journal of Quantitative Criminology *27(4): 521-545, 2011.

**QAP Regression**:
Social context, spatial structure and social network structure.
*Social Networks* 34(1): 32-46, 2012.

**Exponential Random Graph Models**:
Regional geographies of intercity corporate networks:
The use of exponential random graph models to assess regional
network‐formation. *Papers in Regional Science *94(1):
109–126, 2015.

**Small-world network**:
Small-world characteristics on transportation
networks: a perspective from network autocorrelation. *Journal of
Geographical Systems* 9(2): 189-205, 2007.

**Network diffusion process**:
Spatial knowledge diffusion through collaborative
networks. *Papers in Regional Science* 86 (3): 341–350, 2007.

**Network flow model**:
A universal model for mobility and migration patterns.
*Nature*
484:96–100, 2012.