DOCENTE: Thomas Grund CODICE CORSO: I-WS15 LINGUA: RESIDENZIALE

Social Network Analysis using Stata

The field of Social Network Analysis is one of the most rapidly growing fields of the social sciences. Social network analysis focuses on the relationships that exist between individuals (or other units of analysis) such as friendship, advice, trust, or trade relationships. As such, network analysis is concerned with the visualization and analysis of network structures, as well as with the importance of networks for individuals’ propensities to adopt different kinds of behaviors. Up until now, researchers wishing to implement this type of analysis have been force to use specialized software for network analysis. A new set of user written commands (developed by Thomas Grund, coauthor of the forthcoming Stata Press title “An Introduction to Social Network Analysis and Agent-Based Modeling Using Stata”) are however, now available for Stata. This workshop introduces the so-called nwcommands suite of over 90 Stata commands for social network analysis. The suite includes commands for importing, exporting, loading, saving, handling, manipulating, replacing, generating, visualizing, and animating networks. It also includes commands for measuring various properties of the networks and the individual nodes, for detecting network patterns and measuring the similarity of different networks, as well as advanced statistical techniques for network analysis including MR-QAP and ERGM.

 

In common with TStat’s workshop philosophy, each individual session, is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the workshop, theoretical sessions are reinforced by case study examples, in which the course tutor discusses current research issues, highlighting potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specifi c technique is of the utmost importance. In this manner, workshop leaders are able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data.

 

At the end of the workshop, participants are expected to be able to autonomously implement the theories and methodologies discussed during the workshop.

The workshop provides an interdisciplinary opportunity for social scientists, mathematicians, computer scientists, ethnologists, epidemiologists, organizational theorists to acquire the necessary statistical tools required to analyse social networks in Stata.

Basic working knowledge of Stata.

SESSION I: INSTALLING NETWORK COMMANDS

Theoretical motivation

Networks and node attributes

Finding help: help

Managing variables

Return vector: return, ereturn

User written commands: adopath

Installation of nwcommands

Dialog boxes for network commands

 

SESSION II: GETTING STARTED WITH NETWORKS

Setting networks: nwset

Listing networks: nwds

Current network: nwcurrent

Using and saving networks: nwuse, nwsave

Importing and exporting networks: nwexport, nwimport

Dropping and keeping networks: nwdrop, nwkeep, nwclear

Network transformation: nwtoedge, nwfromedge

 

SESSION III: NETWORK VISUALIZATION

Schemes

Network visualization: nwplot, nwplotmatrix, nwplotjs

Animation of networks: nwmovie

 

SESSION IV: NETWORK EXAMINATION

Summarize networks: nwsummarize

Tabulate networks: nwtabulate

Dyads, triads: nwdyads, nwtriads

Simmelian ties: nwsimmelian

Components: nwcomponents

 

SESSION V: DISTANCE AND PATHS

Distance and paths: nwgeodesic, nwpath

Distance distribution

Shortest paths

Local and global bridges: nwbridge

 

SESSION VI: NEIGHBORS AND CONTEXT

Network neighbors: nwneighbor

Attributes of neighbors: nwcontext

Attributes of neighbors at certain distance

 

SESSION VII: CENTRALITY AND CENTRALIZATION

Importance in networks

Degree centrality: nwdegree

Betweenness centrality: nwbetween

Katz centrality: nwkatz

Closeness centrality: nwcloseness

Centralization in networks

 

SESSION VIII: CHANGING NETWORKS

Extract tie values

Change networks: nwreplace, nwreplacemat, nwrecode

Symmetrize: nwsym

 

SESSION IX: CALCULATING WITH NETWORKS

Multiplying networks

Adding networks

Network generators: nwgen

Network expressions

 

SESSION X: NETWORK SIMULATION

Random networks

Lattice networks

Small-world networks

Preferential attachment networks

Homophily networks

Commands: nwrandom, nwsmall, nwhomophily, nwdyadprob, nwpref, nwring, nwlattice

 

SESSION XI: HYPOTHESIS TESTING 1

Correlation of networks

Conditional uniform graphs

Permutation tests: nwpermute

 

SESSION XII: REGRESSION BASED HYPOTHESIS TESTING

Logistic regression: logit

Dyad-level regression

Network transformation: nwtoedge, nwfromedge

Quadratic assignment procedure: nwqap

Short introduction to P2 models and their estimation in Stata

The residential Workshop will be held in Florence at CISL Studium Centre, Via della Piazzuola 71, from the 14th to 16th of June 2017.

 

CISL Studium Centre ♦ Via della Piazzola, 71 Florence

 

Students*: € 896.00

Academic: € 1494.00

Government /Nonprofi t: € 1658.00

Commercial: € 1823.00

 

*To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year.

 

All fees are subject to VAT (applied at the current Italian rate of 22%).

 

Please note that a non-refundable deposit of €100.00 for students and €200.00 for academic, Government/Nonprofit and commercial participants, is required to secure a place and is payable upon registration. The number of participants is limited to 15. Places will be allocated on a first come, first serve basis.

 

Course fees cover: i) teaching materials (copies of lecture slides, databases and Stata routines used during the workshop); ii) a temporary licence of Stata valid for 30 days from the beginning of the workshop; iii) half board accommodation (breakfast, lunch and coffee breaks) in a single room at the Centro Studi CISL from Tuesday 13th to Friday 16th June 2017 (3 nights).

 

In order to maximize the usefulness of this workshop, we recommend that participants bring their own laptops with them, in order to be able to actively participate in the empirical sessions.

 

Individuals interested in attending this workshop must return their completed registration forms either by email (training@tstat.eu) or by fax (+39 0864 206014) to TStat by the 29th of May 2017.


L’iscrizione al corso dovrà avvenire tramite lo specifico modulo di registrazione e pervenire a TStat S.r.l. almeno 15 giorni prima dell’inizio del corso stesso. E’ possibile richiedere il modulo di registrazione compilando il seguente form oppure inviando una mail a formazione@tstat.it


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Autorizzo il trattamento dei dati personali ai sensi dell'articolo 13 del D.lgs. n.196/2003 - Testo completo



The field of Social Network Analysis is one of the most rapidly growing fields of the social sciences. Social network analysis focuses on the relationships that exist between individuals (or other units of analysis) such as friendship, advice, trust, or trade relationships. As such, network analysis is concerned with the visualization and analysis of network structures, as well as with the importance of networks for individuals’ propensities to adopt different kinds of behaviors. Up until now, researchers wishing to implement this type of analysis have been force to use specialized software for network analysis. A new set of user written commands (developed by Thomas Grund, coauthor of the forthcoming Stata Press title “An Introduction to Social Network Analysis and Agent-Based Modeling Using Stata”) are however, now available for Stata.