Degree and Centrality. (https://correlatesofwar.org/data-sets/MIDs)
There are 156 nodes within the militarized interstate dispute dataset. Edges are undirected and are defined as instances of when one state threatened, displayed, or used force directed towards the government, official representatives, official forces, property, or territory of another state.
[1] 0.1136476
$res
[1] 74 56 64 60 47 63 53 51 58 55 43 59 46 62 17 22 20 63 23 36 2
[22] 37 4 39 15 5 2 3 5 8 2 17 4 4 3 1 3 3 2 1 1 7
[43] 41 7 13 8 5 8 8 33 5 12 3 36 23 39 2 19 6 18 6 18 7
[64] 8 5 1 2 12 8 2 8 21 2 1 8 10 4 4 1 3 5 45 45 34
[85] 47 54 2 7 1 1 3 2 7 45 46 45 45 1 1 1 2 1 1 1 36
[106] 1 1 2 26 9 1 1 1 1 4 5 5 19 19 53 53 42 2 2 3 1
[127] 7 37 37 44 38 37 44 44 37 44 3 1 3 1 1 1 1 1 3 1 1
[148] 1 1 2 1 2 2 33 33 1
$centralization
[1] 0.3637717
$theoretical_max
[1] 24180
name degree
USA USA 74
UKG UKG 64
FRN FRN 63
RUS RUS 63
TUR TUR 62
NTH NTH 60
name degree
Length:156 Min. : 1.00
Class :character 1st Qu.: 2.00
Mode :character Median : 7.00
Mean :17.62
3rd Qu.:36.25
Max. :74.00
USA, UK, France, Russia, and Turkey are some of the most central nodes within the dataset. Whereas Tunisia, Kosovo, Jamaica, Sri Lanka, and Nepal are the lowest central nodes. The network density is low (.11) with not many actual connections despite the portion of potential connections. With a centralization score of .36, ties of the network aren’t too concentrated on a group of actors.
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For attribution, please cite this work as
Medani (2022, Feb. 17). Data Analytics and Computational Social Science: Assignment_3. Retrieved from https://github.com/DACSS/dacss_course_website/posts/httpswalidmedanigithubionetworks-blogposts2022-02-07-assignment3/
BibTeX citation
@misc{medani2022assignment_3, author = {Medani, Walid}, title = {Data Analytics and Computational Social Science: Assignment_3}, url = {https://github.com/DACSS/dacss_course_website/posts/httpswalidmedanigithubionetworks-blogposts2022-02-07-assignment3/}, year = {2022} }