Analiza časovnega omrežja

primer Reutersovih poročil o terorističnih napadih 11. septembra 2001

Kim Barbič (Author), Andrej Mrvar (Mentor)

Abstract

V zaključni nalogi predstavimo alternativni način analize časovnega omrežja Reutersovih poročil o terorističnih napadih 11. septembra 2001 v izbranih štirih časovnih rezinah. Vsaka rezina tvori podomrežje, v katerem točko predstavlja posamezna beseda, ki se je vsaj enkrat pojavila v poročilih. Besedi sta v omrežju povezani takrat, ko se pojavita skupaj v vsaj eni jezikovni enoti oz. stavku, vrednost na povezavi pa predstavlja število teh sočasnih pojavljanj. V podomrežjih smo s programom Pajek identificirali središčne besede na podlagi njihove stopnje, utežene stopnje in glede na njihov lastni vektor. Na podlagi uteži oz. vrednosti na povezavah smo poiskali najpogostejše kombinacije besed, ki so se pojavile v posameznih stavkih poročil časovnih rezin in rezultate tudi vizualno predstavili. Nato smo z otoki ter metodama Louvain in VOS Clustering, različnimi tehnikami iskanja kohezivnih podskupin, identificirali skupine besed, med katerimi obstajajo razmeroma močne, pogoste in neposredne povezave, ki v podomrežjih predstavljajo teme poročil. S pomočjo popravljenega Randovega indeksa smo primerjali uspešnost razbitij, dobljenih z metodama Louvain in VOS Clustering. Na podlagi izračuna E-I indeksa pa smo ugotovili, da v izbranih podomrežjih otoki bolje določajo kohezivne podskupine kot metodi Louvain in VOS Clustering z izbranim parametrom ?=1.

Keywords

analiza časovnega omrežja;napadi 11. septembra 2001;Pajek;

Data

Language:	Slovenian
Year of publishing:	2022
Typology:	2.09 - Master's Thesis
Organization:	UL FDV - Faculty of Social Sciences
Publisher:	[K. Barbič]
UDC:	077.5:323.28(043.2)
COBISS:	127354883
Views:	27
Downloads:	7
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Analysis of a temporal network: Reuters news network of terrorist attacks on 11th of September 2001
Secondary abstract:	In this paper we present an alternative way of analysing the temporal network of Reuters' news coverage of the terrorist attacks on September 11th 2001, in four selected time slices. Each time slice forms a subnetwork in which a vertex represents a word or a term that appeared at least once in the news articles. There is an edge between two words if they appear together in at least one linguistic unit or sentence and the value on the edge represents the number of these co-occurrences. We used Pajek to identify central words in all four subnetworks based on their degree, weighted degree and according to their eigenvector value. Based on the weights or values on the edges, we found the most frequent combinations of words that appeared in each sentence of the reports and visualised the results. We then used islands, the Louvain method and VOS Clustering, different techniques for detecting cohesive subgroups, to identify groups of words that have relatively strong, frequent and direct links between them. These subgroups represent the themes of the reports in each subnetwork. Using the adjusted Rand index we compared partitions, identified with the Louvain method and VOS Clustering. Based on E–I indices, we found that islands identify cohesive subgroups in the selected subnetworks better than Louvain and VOS Clustering methods with the resolution parameter γ=1.
Secondary keywords:	temporal network analysis;september 11th 2001 attacks;Pajek;Analiza omrežij (družbene vede);Teroristični napadi 11. septembra 2001 (Združene države Amerike);Tiskovne agencije;Poročanje (novinarstvo);Univerzitetna in visokošolska dela;
Type (COBISS):	Master's thesis/paper
Study programme:	0
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za družbene vede
Pages:	56 str.
ID:	16608080