The graph represents a network of 96 Twitter users whose tweets in the requested range contained "pew internet", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 12 November 2020 at 03:25 UTC.
The requested start date was Thursday, 12 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 12-day, 9-hour, 10-minute period from Thursday, 29 October 2020 at 14:57 UTC to Wednesday, 11 November 2020 at 00:07 UTC.
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 : 96
Unique Edges : 63
Edges With Duplicates : 48
Total Edges : 111
Number of Edge Types : 5
Retweet : 17
MentionsInRetweet : 23
Mentions : 22
Tweet : 34
Replies to : 15
Self-Loops : 35
Reciprocated Vertex Pair Ratio : 0.0188679245283019
Reciprocated Edge Ratio : 0.037037037037037
Connected Components : 48
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 7
Maximum Edges in a Connected Component : 20
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 0.935714
Graph Density : 0.00592105263157895
Modularity : 0.591348
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 96 Twitter users whose tweets in the requested range contained "pew internet", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 12 November 2020 at 03:25 UTC.
The requested start date was Thursday, 12 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 12-day, 9-hour, 10-minute period from Thursday, 29 October 2020 at 14:57 UTC to Wednesday, 11 November 2020 at 00:07 UTC.
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 : pew internet
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:
[42] pew,research [23] research,center [12] twitter,users [8] pew,pew [7] journalists,rely [7] rely,twitter [7] twitter,gauging [7] gauging,opinion [7] opinion,misleading [7] misleading,pew Top Word Pairs in Tweet in G1:
[17] pew,research [14] research,center [5] pew,pew [4] online,harassment [4] social,media [2] study,pew [2] appendix,detailed [2] detailed,tables [2] center,internet [2] internet,science Top Word Pairs in Tweet in G2:
[8] pew,research [8] twitter,users [7] journalists,rely [7] rely,twitter [7] twitter,gauging [7] gauging,opinion [7] opinion,misleading [7] misleading,pew [7] research,adult [7] adult,twitter Top Word Pairs in Tweet in G3:
[3] pew,research [2] pcbushi,edmorrissey [2] twitter,users Top Word Pairs in Tweet in G6:
[4] shameful,œin [4] œin,april [4] april,pew [4] pew,research [4] research,center [4] center,survey [4] survey,found [4] found,one [4] one,five [4] five,parents Top Word Pairs in Tweet in G9:
[2] headset,fixed [2] fixed,let's [2] let's,go [2] go,pew [2] pew,pew [2] pew,#apexlegends [2] #apexlegends,heading [2] heading,#warframe [2] #warframe,internet [2] internet,slow Top Word Pairs in Tweet in G10:
[3] large,extra [2] check,check [2] check,internet [2] internet,space [2] space,ships [2] ships,serious [2] serious,business [2] business,mugs [2] mugs,sizes [2] sizes,back Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: