The graph represents a network of 1,171 Twitter users whose recent tweets contained "DIEGO DE HOLGUÍN", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 04 December 2019 at 15:13 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 5-minute period from Monday, 25 November 2019 at 17:48 UTC to Wednesday, 04 December 2019 at 13:53 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 1171
Unique Edges : 2357
Edges With Duplicates : 601
Total Edges : 2958
Number of Edge Types : 4
Retweet : 1546
Mentions : 1093
Replies to : 112
Tweet : 207
Self-Loops : 212
Reciprocated Vertex Pair Ratio : 0.0126685737637924
Reciprocated Edge Ratio : 0.0250201775625504
Connected Components : 49
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 1108
Maximum Edges in a Connected Component : 2889
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.561418
Graph Density : 0.00180866671046005
Modularity : 0.542032
NodeXL Version : 1.0.1.421
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=218063
Data Import : The graph represents a network of 1,171 Twitter users whose recent tweets contained "DIEGO%20DE%20HOLGU%C3%8DN", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 04 December 2019 at 15:13 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 5-minute period from Monday, 25 November 2019 at 17:48 UTC to Wednesday, 04 December 2019 at 13:53 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : DIEGO%20DE%20HOLGU%C3%8DN
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1691] diego,holguín [939] jorge,nieto [828] obras,públicas [599] caso,diego [583] bulevar,diego [469] condenado,12 [446] ex,ministro [432] ministro,obras [399] construcción,bulevar [397] 12,cárcel Top Word Pairs in Tweet in G1:
[278] diego,holguín [160] caso,diego [132] principal,implicado [130] implicado,caso [129] investigar,principal [128] omitieron,investigar [128] hacer,investigación [127] anteriores,administraciones [127] administraciones,fgr_sv [127] fgr_sv,omitieron Top Word Pairs in Tweet in G2:
[253] diego,holguín [115] jorge,nieto [87] caso,diego [64] injusta,caso [64] verdadero,responsable [62] condena,sumamente [62] sumamente,injusta [62] caso,prefabricado [62] prefabricado,politizado [62] politizado,jorge Top Word Pairs in Tweet in G3:
[344] diego,holguín [231] jorge,nieto [228] obras,públicas [207] bulevar,diego [170] 12,millones [145] condenado,12 [135] ex,ministro [133] ministro,obras [130] 12,cárcel [123] pagar,12 Top Word Pairs in Tweet in G4:
[136] diego,holguín [97] obras,públicas [89] bulevar,diego [89] jorge,nieto [87] construcción,bulevar [86] ex,ministro [86] ministro,obras [85] 12,cárcel [84] nieto,condenado [84] condenado,12 Top Word Pairs in Tweet in G5:
[132] diego,holguín [111] jorge,nieto [110] obras,públicas [102] bulevar,diego [95] 12,prisión [95] construcción,bulevar [94] condenado,12 [93] ex,ministro [93] ministro,obras [92] corrupción,construcción Top Word Pairs in Tweet in G6:
[116] diego,holguín [103] jorge,nieto [99] obras,públicas [94] caso,diego [93] exministro,obras [91] públicas,jorge [81] 12,prisión [80] momento,exacto [80] exacto,exministro [80] nieto,despoja Top Word Pairs in Tweet in G7:
[109] diego,holguín [53] jorge,nieto [50] bulevar,diego [38] caso,diego [30] obras,públicas [22] condenado,12 [22] construcción,bulevar [21] #devuelvanlorobado,#herenciadearena [21] #herenciadearena,bulevar [21] holguín,2012 Top Word Pairs in Tweet in G8:
[144] diego,holguín [79] caso,diego [51] jorge,nieto [48] obras,públicas [38] holguín,detalles [36] #judicial,#corrupción [36] detalles,acá [33] fiscal,gral [33] david,gutiérrez [30] implicados,caso Top Word Pairs in Tweet in G9:
[68] diego,holguín [26] jorge,nieto [25] caso,diego [21] obras,públicas [18] ministro,obras [17] ex,ministro [16] diego,holguin [16] bulevar,diego [15] condenado,12 [15] construcción,bulevar Top Word Pairs in Tweet in G10:
[55] diego,holguín [39] obras,públicas [35] jorge,nieto [32] bulevar,diego [32] exministro,obras [30] públicas,jorge [27] responsabilidad,civil [22] 12,prisión [22] 12,millones [21] pagar,12 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: