The graph represents a network of 4,178 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, 07 August 2020 at 20:29 UTC.
The requested start date was Friday, 07 August 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, 1-hour, 3-minute period from Friday, 24 July 2020 at 00:03 UTC to Thursday, 06 August 2020 at 01:07 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 : 4178
Unique Edges : 3450
Edges With Duplicates : 3780
Total Edges : 7230
Number of Edge Types : 5
Mentions : 1722
Tweet : 852
Retweet : 1387
MentionsInRetweet : 2404
Replies to : 865
Self-Loops : 890
Reciprocated Vertex Pair Ratio : 0.0164977610181475
Reciprocated Edge Ratio : 0.0324600046371435
Connected Components : 1054
Single-Vertex Connected Components : 461
Maximum Vertices in a Connected Component : 1461
Maximum Edges in a Connected Component : 3724
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.4491
Graph Density : 0.000247141994507523
Modularity : 0.607564
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,178 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, 07 August 2020 at 20:29 UTC.
The requested start date was Friday, 07 August 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, 1-hour, 3-minute period from Friday, 24 July 2020 at 00:03 UTC to Thursday, 06 August 2020 at 01:07 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:
[1992] net,neutrality [119] pass,illimix [109] dofbi,pass [106] neutrality,law [105] illimix,orange [105] orange,vs [105] vs,forfaits [105] forfaits,free [100] support,#netneutrality [98] étude,comparative Top Word Pairs in Tweet in G1:
[466] net,neutrality [31] remember,net [31] neutrality,rules [29] end,net [27] without,net [26] rules,major [26] major,isps [22] happened,net [18] neutrality,law [18] fear,end Top Word Pairs in Tweet in G2:
[53] support,#netneutrality [52] net,neutrality [48] #masen,edmarkey [48] edmarkey,first [48] first,senator [48] senator,join [48] join,aoc [48] aoc,#greennewdeal [48] #greennewdeal,one [48] one,first Top Word Pairs in Tweet in G3:
[107] net,neutrality [23] #netneutrality,rules [13] zero,intellectual [13] intellectual,consistency [13] consistency,none [13] none,massive [13] massive,telecom [13] telecom,monopolies [13] monopolies,problem [13] problem,modest Top Word Pairs in Tweet in G4:
[81] net,neutrality [12] policy,twitter [12] twitter,supports [12] supports,free [12] free,expression [12] expression,jack [12] jack,censorsing [12] censorsing,conservative [12] conservative,realdonaldtrump [12] realdonaldtrump,supporters Top Word Pairs in Tweet in G5:
[119] pass,illimix [109] dofbi,pass [105] illimix,orange [105] orange,vs [105] vs,forfaits [105] forfaits,free [98] étude,comparative [97] free,étude [97] comparative,permettre [97] permettre,faire Top Word Pairs in Tweet in G6:
[65] #bigdata,#internetofthings [65] #internetofthings,#5g [54] #iot,#bigdata [44] #tech,#technology [43] #5g,#tech [40] fisher85m,#iot [29] #technology,#fintech [25] net,neutrality [24] emerging,#technologies [24] #technologies,pwc Top Word Pairs in Tweet in G7:
[2] dragonproject,mynameismrwang [2] mynameismrwang,solidaritymvmt [2] solidaritymvmt,raycheltania [2] algrenq,jdw714 [2] jdw714,adrenochromed [2] adrenochromed,patriqt_1776 [2] patriqt_1776,mychickendinner [2] mychickendinner,mrfly187 [2] mrfly187,boodacat2020 [2] boodacat2020,sonadorliveson Top Word Pairs in Tweet in G8:
[90] net,neutrality [66] neutrality,thing [65] honestly,wont [65] wont,surprised [65] surprised,tik [65] tik,tok [65] tok,thing [65] thing,basically [65] basically,exact [65] exact,same Top Word Pairs in Tweet in G9:
[27] net,neutrality [6] neutrality,joke [6] joke,internet [6] internet,destroyed [6] destroyed,following [6] following,fcc [6] fcc,adoption [6] adoption,restoring [6] joe,biden [5] users,subscribers Top Word Pairs in Tweet in G10:
[22] net,neutrality [5] proudsocialist,joebiden [5] joebiden,wrong [5] wrong,healthcare [5] healthcare,wrong [5] wrong,war [5] war,wrong [5] wrong,green [5] green,deal [5] deal,wrong 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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: