[Forum SIS] DEC Statistics Seminar - June 5th

[Raffaella Piccarreta]

Dear all, 


we are glad to announce the following DEC Statistics Seminar, 



Thursday, June 5th 
Università Bocconi, 
Room 3-E4-SR03 
Via Rontgen 1 - 3rd floor 
Time: 12:15 pm 

Giuseppe Giordano 
(Università degli Studi di Salerno) 


On the use of Multidimensional Data Analysis for Social Networks 


Abstract 
Over the past few decades Social Network Analysis (SNA) has found increasing application in many research fields to describe relational ties among entities (actors). 
The main point of this lecture is the use of Multidimensional Data Analysis in the framework of SNA in order to explore roles and positions of actors in a network. Emphasis will be put on data handling and visualization. 
Two main issues will be addressed. In the first part, we consider how to use Contiguity Analysis in order to deal with relational data defined by ties among the actors and described by network centrality and clustering coefficient measures. The expected results consist of the definition of a data-analysis able to synthesize and visualize the pattern of social relationships in a metric space where the relational data structure is described. The proposed method is applied to an illustrative example in the context of a virtual learning community. 
In the second part, since interactions are often derived from the presence of actors at events or activities (Two-mode Network data), in addition to the relational data the lecture will focus on external information gathered on both actors and events. To explore the effect of external information on the formation of ties, we show how to decompose the original network data matrix and representing external information with a suitable matrix coding. This allows to obtain peculiar relational data matrices that include the effects of external information. The derived adjacency matrices can then be analyzed from the network analysis perspective. In particular, we look for groups of structurally equivalent actors obtained through clustering methods. Illustrative examples and a dataset in the framework of scientific collaboration and marketing will give a major insight into the proposed strategy. 








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Raffaella Piccarreta 
DEC - Department of Decision Sciences, 
Universita' L.Bocconi, via Guglielmo Röntgen 1 (3rd floor, room D1-09). 20136, Milano. 
email: piccarreta a unibocconi.it 
tel. +39-02-58365659 / fax +39-02-58365630 

Web page (ENGLISH VERSION): http://faculty.unibocconi.eu/raffaellapiccarreta/ 
(ITALIAN VERSION): http://faculty.unibocconi.it/raffaellapiccarreta/ 
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*************************************************** 
Raffaella Piccarreta 
DEC - Department of Decision Sciences, 
Universita' L.Bocconi, via Guglielmo Röntgen 1 (3rd floor, room D1-09). 20136, Milano. 
email: piccarreta a unibocconi.it 
tel. +39-02-58365659 / fax +39-02-58365630 

Web page (ENGLISH VERSION): http://faculty.unibocconi.eu/raffaellapiccarreta/ 
(ITALIAN VERSION): http://faculty.unibocconi.it/raffaellapiccarreta/ 
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