Monika Cerinšek (2015) Analysis of twomode networks and multiplication of networks. PhD thesis.
Abstract
The topic of presented dissertation is the analysis of twomode networks. We deal with the analysis from two aspects. On one hand we research the theoretical part – the methods (network multiplication, normalization of a network, and generalized two mode cores). On the other hand we use an example of bibliographic data to present the conversion of a data into a set of compatible networks. From those we are able to get derived networks using a network multiplication. Described approach can also be used for other types of data. We deal with the network multiplication especially multiplication of large sparse networks. We answer the question when the product of two sparse networks is also sparse. Using different semirings in a network multiplication we get new interpreta tions of a product of networks. Semirings that are perspective for the network analysis are presented in this dissertation. A new method for determining important subnetworks in twomode networks is presented – generalized twomode cores. is method allows a direct analysis of twomode networks and we can determine subnetworks according to different properties of links or vertices of a network with it. In presented dissertation are also overviewed basic approaches for obtaining the net work data. We made an analysis of bibliographic networks to explore the impact of normalizations in collaboration network and in other derived networks. Bibliographic data are especially interesting for the network analysis because with them we get an insight into a development of a particular scientific field.
Item Type:  Thesis (PhD thesis) 
Keywords:  network, twomode network, large sparse network, matrix, semiring, network multiplication, derived networks, sources of data, bibliographic networks, collaboration network, generalized twomode cores, statistical network analysis 
Number of Pages:  134 
Language of Content:  Slovenian 
Mentor / Comentors:  Name and Surname  ID  Function 

prof. dr. Vladimir Batagelj  1093  Mentor  izr. prof. dr. Gašper Fijavž   Comentor 

Link to COBISS:  http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1536172739) 
Institution:  University of Ljubljana 
Department:  Faculty of Computer and Information Science 
Item ID:  2901 
Date Deposited:  19 Jan 2015 11:00 
Last Modified:  26 Jan 2015 15:11 
URI:  http://eprints.fri.unilj.si/id/eprint/2901 

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