The graph represents a network of 19,454 Twitter users whose recent tweets contained "Minneapolis", 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 Sunday, 31 May 2020 at 20:23 UTC.
The tweets in the network were tweeted over the 9-minute period from Sunday, 31 May 2020 at 19:40 UTC to Sunday, 31 May 2020 at 19:50 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 : 19454
Unique Edges : 20894
Edges With Duplicates : 1490
Total Edges : 22384
Number of Edge Types : 5
Retweet : 16742
Tweet : 2356
Mentions : 1252
Replies to : 714
MentionsInRetweet : 1320
Self-Loops : 2391
Reciprocated Vertex Pair Ratio : 0.00102997219075085
Reciprocated Edge Ratio : 0.00205782487910279
Connected Components : 1980
Single-Vertex Connected Components : 482
Maximum Vertices in a Connected Component : 13154
Maximum Edges in a Connected Component : 15687
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.283826
Graph Density : 5.13636738309787E-05
Modularity : 0.882697
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 19,454 Twitter users whose recent tweets contained "Minneapolis", 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 Sunday, 31 May 2020 at 20:23 UTC.
The tweets in the network were tweeted over the 9-minute period from Sunday, 31 May 2020 at 19:40 UTC to Sunday, 31 May 2020 at 19:50 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 : Minneapolis
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in G2:
[1129] national,guard [1129] great,job [1128] last,night [1126] guard,great [1125] congratulations,national [1125] job,immediately [1125] immediately,upon [1125] upon,arriving [1125] arriving,minneapolis [1125] minneapolis,minnesota Top Word Pairs in Tweet in G3:
[1184] policía,minneapolis [1073] trump,trata [998] expusieron,trump [971] bloqueó,sitio [533] sitio,policía [533] fuck,police [533] trata,asesinatos [533] amenazan,exponer [533] exponer,corrupción [533] corrupción,toda Top Word Pairs in Tweet in G4:
[854] shut,down [442] down,minneapolis [426] minneapolis,police [340] anonymous,back [340] back,three [327] three,hours [324] hours,already [306] already,shut [306] police,website [306] website,hacked Top Word Pairs in Tweet in G5:
[768] down,minneapolis [763] website,hacked [754] hacked,chicago [747] chicago,pd [747] pd,radio [747] exposed,trump [747] royal,family [747] killing,princess [747] princess,diana [747] exposed,royal Top Word Pairs in Tweet in G6:
[729] george,floyd [729] minneapolis,police [728] fire,pestilence [727] pestilence,country [724] country,war [724] war,itself [724] itself,trump [724] trump,presidency [724] presidency,over [723] over,robert Top Word Pairs in Tweet in G7:
[42] meanwhile,#minneapolis [26] #minneapolis,officer [18] officer,light [18] light,'em [18] 'em,sorry [18] sorry,fucking [18] fucking,warzone [18] warzone,someone [18] someone,convince [15] convince,soulless Top Word Pairs in Tweet in G8:
[287] president,trump [287] trump,declares [287] declares,#antifa [287] #antifa,terrorist [287] terrorist,organization [287] organization,#joebiden [287] #joebiden,democrats [287] democrats,bail [287] small,businesses [287] help,ways Top Word Pairs in Tweet in G9:
[222] donald,trump [222] site,web [222] web,police [222] police,minneapolis [222] anonymous,quelques [222] quelques,heures [222] heures,ont [222] ont,déjà [41] déjà,fermé [40] fermé,site Top Word Pairs in Tweet in G10:
[192] website,hacked [191] pd,website [191] one,#anonymous [191] #anonymous,years [190] years,few [190] few,hours [190] hours,later [190] later,taken [190] taken,down [190] down,#minneapolis Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: