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Title:Analiza skupnosti na družbenem omrežju igralcev in filmov : diplomska naloga
Authors:ID Retelj, Simon (Author)
ID Levnajić, Zoran (Mentor) More about this mentor... New window
Files:.pdf VS_Retelj_Simon_i2016.pdf (2,10 MB)
MD5: B2A54C4F91C9F592CA8DA13D3990CD62
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FIŠ - Faculty of Information Studies in Novo mesto
Abstract:Z razvojem spleta je znanost analize omrežja dosegla zlato dobo, saj imamo na razpolago neomejeno število enostavno dostopnih podatkov. S popularnostjo in razvojem družbenih omrežij pa je prišla v ospredje tudi analiza družbenih omrežij. Cilj te diplomske naloge je ustvariti omrežje filmov in omrežje igralcev, katerih podatke bomo pridobili iz podatkovne baze spletne strani IMDb. To nam bo omogočila knjižnica IMDb.Py programskega jezika Python, v katerem bo potekala tudi nadaljnja analiza obeh omrežij. Nad omrežjema bomo pognali štiri najbolj popularne mere centralnosti, in sicer Degree, Closeness, Betweenness in Eigenvector. Te bomo med seboj primerjali in poskušali odkriti, ali med njimi obstaja kakšna povezava. Prav tako bomo preverili, ali obstaja kakšna povezava med omrežjema glede centralnosti. V omrežjih bomo poskušali odkriti skupnosti; to bomo storili z algoritmoma Louvain in CNM. Iz pridobljenih skupnosti bomo skušali ugotoviti razlike med njimi na podlagi podatkov, ki so nam na voljo.
Keywords:podatki, analiza družbenih omrežij, centranost, skupnosti, Python, Louvain, CNM, IMDb
Place of publishing:Novo mesto
Place of performance:Novo mesto
Publisher:[S. Retelj]
Year of publishing:2016
Year of performance:2016
Number of pages:63 str.
PID:20.500.12556/ReVIS-4971 New window
COBISS.SI-ID:2048407827 New window
UDC:004.7:316.472.4(043.2)
Note:Na ov.: Diplomska naloga : visokošolskega strokovnega študijskega programa prve stopnje;
Publication date in ReVIS:22.08.2018
Views:2866
Downloads:140
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:21.08.2018

Secondary language

Language:English
Abstract:Network analysis has entered gold age with the developemnt of the internet, mostly beacuse of all the easy accesable data. The popularity of online networks has brought to the foree the analysis of social networks. The objective of our thesis is to build network of movies and network of actors, for which we will collect data from IMDb database. We will access the base through package IMDb.Py which is made for Python programming language. All further analysis of the networks will be made in Python. First of all we will run Degree, Closeness, Betweenness and Eigenvecto centrality over both networks. We will compare centralitys and try to find out if there exist any corelation between them. We will also compare centralitys between networks and try to find the connection there. As last we will try to find communities within networks, by running Louvain and CNM algorithms over them and find differences between communites with the data that is available to us.
Keywords:data, social network analysis, centrality, community, Python, Louvain, CNM, IMDb


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