The graph represents a network of 7,522 Twitter users whose tweets in the requested range contained "netneutrality OR "net neutrality"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 September 2020 at 20:14 UTC.
The requested start date was Friday, 18 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 18-hour, 2-minute period from Friday, 04 September 2020 at 05:46 UTC to Thursday, 17 September 2020 at 23:48 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 : 7522
Unique Edges : 3650
Edges With Duplicates : 12450
Total Edges : 16100
Number of Edge Types : 5
Retweet : 5080
MentionsInRetweet : 6457
Tweet : 1212
Replies to : 759
Mentions : 2592
Self-Loops : 1262
Reciprocated Vertex Pair Ratio : 0.00944962329204444
Reciprocated Edge Ratio : 0.0187223276407337
Connected Components : 1146
Single-Vertex Connected Components : 648
Maximum Vertices in a Connected Component : 5001
Maximum Edges in a Connected Component : 12902
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.101584
Graph Density : 0.000139731060926242
Modularity : 0.482339
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,522 Twitter users whose tweets in the requested range contained "netneutrality OR %22net neutrality%22", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 September 2020 at 20:14 UTC.
The requested start date was Friday, 18 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 18-hour, 2-minute period from Friday, 04 September 2020 at 05:46 UTC to Thursday, 17 September 2020 at 23:48 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 : GraphServerTwitterSearch
Graph Term : netneutrality OR %22net neutrality%22
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:
[5201] net,neutrality [1918] years,ago [1813] neutrality,legislation [1811] protect,internet [1802] fifteen,years [1802] ago,took [1802] took,stand [1802] stand,introduced [1802] introduced,net [1802] legislation,protect Top Word Pairs in Tweet in G1:
[1796] net,neutrality [1772] neutrality,legislation [1771] fifteen,years [1771] years,ago [1771] ago,took [1771] took,stand [1771] stand,introduced [1771] introduced,net [1771] legislation,protect [1771] protect,internet Top Word Pairs in Tweet in G2:
[804] net,neutrality [796] wasn,net [796] neutrality,supposed [796] supposed,kill [796] kill,don [796] don,trust [796] trust,experts [795] heytammybruce,wasn [3] heytammybruce,net [2] covid,19 Top Word Pairs in Tweet in G3:
[617] net,neutrality [175] neutrality,rules [128] top,court [103] zero,rating [73] court,net [58] rules,bar [52] bar,zero [45] eu,court [42] europe,top [31] eu,top Top Word Pairs in Tweet in G4:
[362] support,#netneutrality [351] #netneutrality,ajitpaifcc [351] ajitpaifcc,brendancarrfcc [351] brendancarrfcc,mikeofcc [137] net,neutrality [88] #artificialintelligence,#5g [71] #ai,terms [71] terms,prepare [71] prepare,#futureofwork [71] mikequindazzi,#ai Top Word Pairs in Tweet in G5:
[177] net,neutrality [96] neutrality,rules [92] years,ago [88] anyone,written [88] written,good [88] good,retrospective [88] retrospective,actually [88] actually,happened [88] happened,net [88] rules,expired Top Word Pairs in Tweet in G6:
[136] net,neutrality [86] canadian,heritage [86] heritage,minister [85] liberal,government [85] government,long [85] long,maintained [85] maintained,support [85] support,net [85] neutrality,longer [85] longer,canadian Top Word Pairs in Tweet in G7:
[58] net,neutrality [41] boom,#cjue [41] #cjue,valide [41] valide,interdiction [41] interdiction,par [41] par,autorités [41] autorités,régulation [41] régulation,nationale [41] nationale,#zerorating [41] #zerorating,offre Top Word Pairs in Tweet in G8:
[69] net,neutrality [32] neutrality,rules [31] zero,rating [25] great,news [22] first,time [22] regulation,2015 [21] breaking,first [21] time,#european [21] #european,court [21] court,interpreted Top Word Pairs in Tweet in G9:
[37] net,neutrality [15] bobrobe45921929,teamtrump [15] teamtrump,scottpresler [15] scottpresler,ryanafournier [15] ryanafournier,charliekirk11 [15] charliekirk11,katiepavlich [15] katiepavlich,cernovich [15] cernovich,gop [15] gop,donaldjtrumpjr [14] matthewcogdeill,bobrobe45921929 Top Word Pairs in Tweet in G10:
[61] net,neutrality [38] sad,hear [38] hear,kbzeese [38] kbzeese,passing [38] passing,tireless [38] tireless,activism [38] activism,drmflowers [38] drmflowers,helped [38] helped,extend [38] extend,net Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G10: