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Title:Analiza in primerjava statičnih lastnosti omrežij prijateljstev v spletišču Facebook s teoretičnimi : diplomska naloga
Authors:ID Hočevar, Aleš (Author)
ID Povh, Janez (Mentor) More about this mentor... New window
Files:.pdf UN_2012_Ales_Hocevar.pdf (523,24 KB)
MD5: 411F84A1F07809C6138F014DDBE8EE9A
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FIŠ - Faculty of Information Studies in Novo mesto
Abstract:Analiza omrežij spada med interdisciplinarne vede, saj vključuje matematične, računalniške in družboslovne raziskovalne metode. Po eni strani mora odkriti zakonitosti, po drugi pa razlage, zakaj do njih prihaja. Navkljub različnih oblikam realnih omrežij pa imajo pogosto ta omrežja nekatere skupne značilnosti. V tej nalogi bomo preverili domnevo, da izmerjene lastnosti vzorca podomrežij prijateljstev spletnega socialnega omrežja Facebook sledijo nekaterim teoretičnim predpostavkam: (i) velikost in premer omrežja (pregled literatura navaja predpostavko, da je premer omrežja šest povezav), (ii) število in velikost komponent (literatura navaja, da povprečno omrežje sestavljata ena velika komponenta in več manjših) ter (iii) porazdelitev stopnje točk sledi potenčnemu zakonu. Za to potrebujemo množico podomrežij, ki jih bomo analizirali v programskem okolju R za statistično analizo in grafiko.
Keywords:analiza omrežij, realna omrežja, lastnosti realnih omrežij, programski jezik R
Place of publishing:Novo mesto
Place of performance:Novo mesto
Publisher:[A. Hočevar]
Year of publishing:2012
Year of performance:2012
Number of pages:50 str., [11] f. pril.
PID:20.500.12556/ReVIS-4670 New window
COBISS.SI-ID:1024510273 New window
UDC:004.7:316.472.4
Note:Na ov.: Diplomska naloga : univerzitetnega študijskega programa prve stopnje;
Publication date in ReVIS:08.08.2018
Views:3777
Downloads:163
Metadata:XML DC-XML DC-RDF
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HOČEVAR, Aleš, 2012, Analiza in primerjava statičnih lastnosti omrežij prijateljstev v spletišču Facebook s teoretičnimi : diplomska naloga [online]. Bachelor’s thesis. Novo mesto : A. Hočevar. [Accessed 5 April 2025]. Retrieved from: https://revis.openscience.si/IzpisGradiva.php?lang=eng&id=4670
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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:08.08.2018

Secondary language

Language:English
Abstract:Network analysis is an interdisciplinary discipline since it involves methods from mathematics, computer and social sciences. On one hand, it discovers regularities in networks while on the other hand explains the reasons behind them. Despite the various forms of real networks, they have some common characteristics. In this BSs thesis we will try to confirm the hypothesis that the observed sample of Facebook subnetwork has properties that follow basic theoretical assumptions, such as (i) the size and the diameter of the network (theory suggest an assumption that the diameter of the network is six), (ii) number and size of components (theory indicates that average network consists of one large and several smaller component) and (iii) degree distribution follows the power law. All this needs a large number of individual sub-networks, which will be analyzed using program R for statistical computing and graphics.
Keywords:network analysis, real networks, properties of real networks, R programming language


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