The graph represents a network of 9,776 Twitter users whose recent tweets contained "Obama-era", 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 Tuesday, 31 March 2020 at 17:30 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 32-minute period from Tuesday, 24 March 2020 at 02:11 UTC to Tuesday, 31 March 2020 at 16:43 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 : 9776
Unique Edges : 10755
Edges With Duplicates : 607
Total Edges : 11362
Number of Edge Types : 5
Replies to : 467
MentionsInRetweet : 1906
Retweet : 7246
Tweet : 932
Mentions : 811
Self-Loops : 945
Reciprocated Vertex Pair Ratio : 0.000885826771653543
Reciprocated Edge Ratio : 0.00177008555413512
Connected Components : 813
Single-Vertex Connected Components : 580
Maximum Vertices in a Connected Component : 8342
Maximum Edges in a Connected Component : 9889
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.626687
Graph Density : 0.000106414372480651
Modularity : 0.824027
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 9,776 Twitter users whose recent tweets contained "Obama-era", 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 Tuesday, 31 March 2020 at 17:30 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 32-minute period from Tuesday, 24 March 2020 at 02:11 UTC to Tuesday, 31 March 2020 at 16:43 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 : Obama-era
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 Entire Graph:
[5084] trump,administration [4626] climate,change [3849] back,obama [3456] fuel,efficiency [3433] efficiency,standards [3233] obama,fuel [3132] roll,back [2528] effort,combat [2526] biggest,effort [2521] combat,climate Top Word Pairs in Tweet in G1:
[1989] roll,back [1988] trump,administration [1982] climate,change [1981] back,obama [1980] fuel,efficiency [1980] efficiency,standards [1980] standards,relaxing [1980] relaxing,efforts [1980] efforts,limit [1980] limit,climate Top Word Pairs in Tweet in G2:
[182] trump,administration [176] back,obama [148] roll,back [136] mileage,standards [98] obama,clean [96] trump,roll [96] clean,car [95] car,rules [95] rules,huge [95] huge,blow Top Word Pairs in Tweet in G3:
[606] trump,administration [602] climate,change [559] obama,vehicle [559] vehicle,mileage [559] mileage,standards [558] back,ambitious [558] ambitious,obama [558] standards,tuesday [558] tuesday,raising [558] raising,ceiling Top Word Pairs in Tweet in G4:
[273] fuel,efficiency [273] efficiency,standards [271] back,obama [265] rolls,back [225] obama,fuel [168] trump,administration [116] administration,rolls [105] president,trump [103] realdonaldtrump,trump [100] anything,obama Top Word Pairs in Tweet in G5:
[415] obama,pandemic [412] maddowblog,obama [412] pandemic,playbook [412] playbook,'was [412] 'was,thrown [412] thrown,onto [412] onto,shelf' [19] trump,administration [16] climate,change [15] fuel,efficiency Top Word Pairs in Tweet in G6:
[292] trump,administration [271] back,obama [226] fuel,efficiency [226] efficiency,standards [224] obama,fuel [217] administration,rolls [217] rolls,back [153] #breaking,trump [68] federal,court [68] court,upholds Top Word Pairs in Tweet in G7:
[371] pandemic,preparedness [346] susan,collins [346] collins,obama [346] obama,vote [346] vote,against [346] against,pandemic [346] pandemic,funding [346] funding,comes [346] comes,back [346] back,haunt Top Word Pairs in Tweet in G8:
[296] trump,administration [293] climate,change [272] everyone,focused [272] focused,coronavirus [272] coronavirus,trump [272] administration,taking [272] taking,opportunity [272] opportunity,scrap [272] scrap,biggest [272] biggest,obama Top Word Pairs in Tweet in G9:
[365] climate,change [351] ambitious,obama [351] obama,vehicle [351] vehicle,mileage [351] mileage,standards [351] ceiling,damaging [351] damaging,fossil [351] fossil,fuel [351] fuel,emissions [351] emissions,years Top Word Pairs in Tweet in G10:
[340] climate,change [313] trump,administration [292] back,obama [203] obama,fuel [192] final,rule [189] administration,plans [189] plans,issue [189] issue,final [189] rule,rolling [189] rolling,back 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 G6:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: