The graph represents a network of 5,840 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, 20 November 2020 at 21:24 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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, 13-minute period from Friday, 06 November 2020 at 01:02 UTC to Friday, 20 November 2020 at 00:15 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 : 5840
Unique Edges : 3706
Edges With Duplicates : 7256
Total Edges : 10962
Number of Edge Types : 5
Tweet : 1211
Replies to : 1139
Mentions : 2830
Retweet : 2556
MentionsInRetweet : 3226
Self-Loops : 1246
Reciprocated Vertex Pair Ratio : 0.0139301634472511
Reciprocated Edge Ratio : 0.0274775599926727
Connected Components : 1359
Single-Vertex Connected Components : 700
Maximum Vertices in a Connected Component : 2865
Maximum Edges in a Connected Component : 7462
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.928606
Graph Density : 0.000160089103266416
Modularity : 0.507949
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,840 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, 20 November 2020 at 21:24 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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, 13-minute period from Friday, 06 November 2020 at 01:02 UTC to Friday, 20 November 2020 at 00:15 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:
[3353] net,neutrality [407] restore,net [357] support,#netneutrality [355] #netneutrality,ajitpaifcc [355] ajitpaifcc,brendancarrfcc [354] brendancarrfcc,mikeofcc [282] section,230 [229] high,speed [226] speed,internet [222] neutrality,#netneutrality Top Word Pairs in Tweet in G1:
[654] net,neutrality [57] ajit,pai [53] neutrality,rules [32] without,net [30] remember,net [28] rules,major [28] major,isps [22] section,230 [21] neutrality,back [20] biden,fcc Top Word Pairs in Tweet in G2:
[173] net,neutrality [162] section,230 [148] focusing,tech [148] tech,policy [148] policy,biden [148] biden,called [148] called,section [148] 230,revoked [148] revoked,basically [148] basically,blow Top Word Pairs in Tweet in G3:
[355] #netneutrality,ajitpaifcc [355] ajitpaifcc,brendancarrfcc [354] support,#netneutrality [354] brendancarrfcc,mikeofcc [153] net,neutrality [36] title,ii [34] ii,net [24] broadband,internet [23] repeal,title [23] neutrality,place Top Word Pairs in Tweet in G4:
[156] net,neutrality [36] joebiden,kamalaharris [28] restore,net [19] ajit,pai [17] neutrality,please [16] data,caps [15] bring,back [14] please,restore [13] kamalaharris,please [12] dear,joebiden Top Word Pairs in Tweet in G5:
[227] net,neutrality [213] restore,net [210] biden,restore [209] high,speed [209] speed,internet [209] internet,public [209] public,utility [209] utility,biden [209] neutrality,#netneutrality [209] #netneutrality,#policy Top Word Pairs in Tweet in G6:
[103] net,neutrality [14] internet,privacy [14] 564,000 [10] boycott,vw [10] vw,tn [10] privacy,net [9] corrupt,marshablackburn [9] realdonaldtrump,senatorwicker [9] senatorwicker,marshablackburn [9] marshablackburn,senatemajldr Top Word Pairs in Tweet in G7:
[45] section,230 [42] biden,alter [42] alter,big [42] big,tech's [42] tech's,section [42] 230,protections [42] protections,reinstate [42] reinstate,'net [42] 'net,neutrality' [41] foxbusiness,biden Top Word Pairs in Tweet in G8:
[108] net,neutrality [106] great,piece [106] piece,path [106] path,crucial [106] crucial,step [106] step,restoring [106] restoring,net [105] congressmanraja,great [5] internetassn,ivankatrump [5] white,house Top Word Pairs in Tweet in G9:
[93] update,dc [93] dc,already [93] already,walked [93] walked,past [93] past,30 [93] 30,something [93] something,woman [93] woman,drinking [93] drinking,wine [93] wine,porch Top Word Pairs in Tweet in G10:
[91] net,neutrality [88] getting,rid [88] rid,net [88] neutrality,trump's [88] trump's,fcc [88] fcc,supposed [88] supposed,boost [88] boost,incentives [88] incentives,invest [88] invest,broadband Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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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: