The graph represents a network of 4,303 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, 31 July 2020 at 20:29 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 54-minute period from Friday, 17 July 2020 at 00:03 UTC to Thursday, 30 July 2020 at 22:58 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 : 4303
Unique Edges : 3433
Edges With Duplicates : 4479
Total Edges : 7912
Number of Edge Types : 5
Replies to : 792
Retweet : 1649
MentionsInRetweet : 2780
Mentions : 1847
Tweet : 844
Self-Loops : 878
Reciprocated Vertex Pair Ratio : 0.0174029451137885
Reciprocated Edge Ratio : 0.0342105263157895
Connected Components : 992
Single-Vertex Connected Components : 450
Maximum Vertices in a Connected Component : 1510
Maximum Edges in a Connected Component : 3989
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.452574
Graph Density : 0.000246333280501327
Modularity : 0.586903
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,303 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, 31 July 2020 at 20:29 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 54-minute period from Friday, 17 July 2020 at 00:03 UTC to Thursday, 30 July 2020 at 22:58 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:
[2019] net,neutrality [184] tax,cuts [165] covid,19 [163] neutrality,tax [155] survival,rates [155] rates,better [155] better,covid [155] 19,net [154] sean_spicier,survival [150] support,#netneutrality Top Word Pairs in Tweet in G1:
[439] net,neutrality [38] neutrality,rules [29] without,net [27] rules,major [27] major,isps [25] end,net [20] remember,net [20] social,media [17] happened,net [15] fear,end Top Word Pairs in Tweet in G2:
[83] net,neutrality [17] bobrobe45921929,teamtrump [17] teamtrump,scottpresler [17] scottpresler,ryanafournier [17] ryanafournier,charliekirk11 [17] charliekirk11,katiepavlich [17] katiepavlich,cernovich [17] cernovich,gop [17] gop,donaldjtrumpjr [16] matthewcogdeill,bobrobe45921929 Top Word Pairs in Tweet in G3:
[62] support,#netneutrality [48] #masen,edmarkey [48] edmarkey,first [48] first,senator [48] senator,join [48] join,aoc [48] aoc,#greennewdeal [48] #greennewdeal,one [48] one,first [48] first,support Top Word Pairs in Tweet in G4:
[161] net,neutrality [153] survival,rates [153] rates,better [153] better,covid [153] covid,19 [153] 19,net [153] neutrality,tax [153] tax,cuts [152] sean_spicier,survival [5] jeffy12,alexberenson Top Word Pairs in Tweet in G5:
[145] pass,illimix [135] dofbi,pass [97] illimix,orange [97] orange,vs [97] vs,forfaits [97] forfaits,free [97] free,étude [97] étude,comparative [97] comparative,permettre [97] permettre,faire Top Word Pairs in Tweet in G6:
[68] net,neutrality [13] grateful,cltneoliberal [13] cltneoliberal,ne0liberal [13] ne0liberal,viewer [13] viewer,questioners [13] questioners,taking [13] taking,time [13] time,wide [13] wide,ranging [13] ranging,conversation Top Word Pairs in Tweet in G7:
[58] net,neutrality [28] john,lewis [24] black,activists [23] attacks,net [23] neutrality,threatened [23] threatened,ability [23] ability,black [23] activists,raise [23] raise,voices [23] voices,move Top Word Pairs in Tweet in G8:
[80] support,#netneutrality [79] #netneutrality,ajitpaifcc [79] ajitpaifcc,brendancarrfcc [79] brendancarrfcc,mikeofcc [27] #netneutrality,write [21] senatorcantwell,pattymurray [19] delivered,alexander [19] alexander,constituent [19] constituent,renton [19] renton,wash Top Word Pairs in Tweet in G9:
[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 G10:
[51] emerging,#technologies [51] #technologies,pwc [51] pwc,mikequindazzi [51] mikequindazzi,#digital [51] #digital,#datascience [51] #datascience,#5g [51] #5g,#digitaltransformation [51] #digitaltransformation,#tech [44] ronald_vanloon,emerging [44] #tech,#techno Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: