The graph represents a network of 3,045 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, 22 April 2022 at 20:11 UTC.
The requested start date was Friday, 22 April 2022 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, 23-hour, 14-minute period from Friday, 08 April 2022 at 00:04 UTC to Thursday, 21 April 2022 at 23:19 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 : 3045
Unique Edges : 2238
Edges With Duplicates : 3984
Total Edges : 6222
Number of Edge Types : 5
Retweet : 1187
MentionsInRetweet : 1827
Mentions : 1750
Tweet : 724
Replies to : 734
Self-Loops : 763
Reciprocated Vertex Pair Ratio : 0.0194605667463298
Reciprocated Edge Ratio : 0.0381781647689216
Connected Components : 804
Single-Vertex Connected Components : 430
Maximum Vertices in a Connected Component : 1192
Maximum Edges in a Connected Component : 3812
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.951938
Graph Density : 0.000322149794259994
Modularity : 0.49955
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,045 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, 22 April 2022 at 20:11 UTC.
The requested start date was Friday, 22 April 2022 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, 23-hour, 14-minute period from Friday, 08 April 2022 at 00:04 UTC to Thursday, 21 April 2022 at 23:19 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:
[1917] net,neutrality [377] support,#netneutrality [375] #netneutrality,ajitpaifcc [375] ajitpaifcc,brendancarrfcc [375] brendancarrfcc,mikeofcc [150] california,net [133] breaking,aviram [133] aviram,azari [133] azari,pleads [133] pleads,guilty Top Word Pairs in Tweet in G1:
[454] net,neutrality [76] california,net [64] appeals,court [58] neutrality,law [32] neutrality,rules [32] court,reconsider [31] without,net [30] neutrality,ruling [29] rules,major [29] major,isps Top Word Pairs in Tweet in G2:
[90] net,neutrality [54] 9th,circuit [32] #netneutrality,law [25] circuit,denied [25] denied,effort [25] effort,rehear [25] rehear,decision [25] decision,upholding [25] upholding,california [25] california,#netneutrality Top Word Pairs in Tweet in G3:
[132] breaking,aviram [132] aviram,azari [132] azari,pleads [132] pleads,guilty [132] guilty,hacker [132] hacker,hire [132] hire,scheme [132] scheme,big [132] big,one [132] one,citizenlab Top Word Pairs in Tweet in G4:
[375] support,#netneutrality [375] #netneutrality,ajitpaifcc [375] ajitpaifcc,brendancarrfcc [375] brendancarrfcc,mikeofcc [15] net,neutrality [13] youtube,bad [13] bad,awful [11] amyklobuchar,support [9] maziehirono,support [9] bad,youtube Top Word Pairs in Tweet in G5:
[92] net,neutrality [11] etsy,sellers [10] fcc,chair [10] pay,additional [10] same,people [9] 2017,fcc [9] fcc,eliminates [9] eliminates,net [9] neutrality,protections [9] protections,etsy Top Word Pairs in Tweet in G6:
[76] net,neutrality [7] purgatory,dying [7] dying,net [7] neutrality,explain [7] explain,lot [7] peter,thiel's [7] thiel's,going [7] going,join [7] join,elon [7] elon,dead Top Word Pairs in Tweet in G7:
[96] net,neutrality [22] dnchi77,gamershot73 [21] zetazba,dnchi77 [15] heyyitsjanea,dnchi77 [12] dnchi77,net [10] neutrality,actually [10] mgonmovies,dnchi77 [9] gamershot73,death [9] death,net [9] actually,affect Top Word Pairs in Tweet in G8:
[53] net,neutrality [10] _floodlight,faked [10] faked,people [10] people,submitting [10] submitting,support [10] support,net [10] neutrality,bot [10] bot,astroturf [10] astroturf,campaign [9] moi_o_see,_floodlight Top Word Pairs in Tweet in G9:
[67] net,neutrality [67] neutrality,bias [67] bias,free [67] free,social [67] social,media [67] media,platforms [67] platforms,shall [67] shall,remain [67] remain,much [67] much,fairy Top Word Pairs in Tweet in G10:
[23] net,neutrality [18] big,media [17] #fairnessdoctrine,#netneutrality [12] #culture,#nutritionmeetsenvironment [11] loss,#fairnessdoctrine [10] #nutritionmeetsenvironment,consume [7] #cultural,problem [7] problem,#21stcentury [7] #21stcentury,#technology [7] #technology,#gentrificationofculture Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
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: