The graph represents a network of 91 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 Friday, 30 October 2020 at 02:25 UTC.
The requested start date was Thursday, 29 October 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, 13-hour, 1-minute period from Thursday, 15 October 2020 at 10:04 UTC to Wednesday, 28 October 2020 at 23:06 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 : 91
Unique Edges : 61
Edges With Duplicates : 50
Total Edges : 111
Number of Edge Types : 5
Replies to : 18
Tweet : 34
Retweet : 20
MentionsInRetweet : 24
Mentions : 15
Self-Loops : 34
Reciprocated Vertex Pair Ratio : 0.0188679245283019
Reciprocated Edge Ratio : 0.037037037037037
Connected Components : 45
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 6
Maximum Edges in a Connected Component : 12
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 0.943396
Graph Density : 0.00659340659340659
Modularity : 0.585058
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 91 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 Friday, 30 October 2020 at 02:25 UTC.
The requested start date was Thursday, 29 October 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, 13-hour, 1-minute period from Thursday, 15 October 2020 at 10:04 UTC to Wednesday, 28 October 2020 at 23:06 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 : 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:
[22] pew,research [17] pew,pew [13] research,center [11] according,pew [11] pew,internet [8] social,media [7] internet,users [6] ponto,vista [6] interesting,statistics [6] statistics,around Top Word Pairs in Tweet in G1:
[9] pew,research [7] research,center [6] social,media [5] pew,internet [4] according,pew [3] internet,marketing [2] internet,research [2] news,social [2] media,sites [2] center,survey Top Word Pairs in Tweet in G2:
[6] interesting,statistics [6] statistics,around [6] around,internet [6] internet,users [6] users,consume [6] consume,news [6] news,hosting [6] hosting,content [6] content,sites [6] sites,youtube Top Word Pairs in Tweet in G3:
[3] aiguo_pew_pew,rainergronemann [2] nathibruder,aiguo_pew_pew [2] rainergronemann,internet [2] internet,voll [2] voll,rechten Top Word Pairs in Tweet in G4:
[2] pew,research [2] research,teens [2] teens,use [2] use,#socmed [2] #socmed,pewresearch [2] pewresearch,#wespeechies [2] #wespeechies,#dldseeme [2] #dldseeme,#devlangdis Top Word Pairs in Tweet in G6:
[4] black,shirts [4] serious,business [4] pew,pew [3] internet,space [3] space,ships [2] check,check [2] check,black [2] shirts,back [2] back,town [2] town,available Top Word Pairs in Tweet in G8:
[3] daily,dose [3] dose,halloween [3] halloween,creepies [3] creepies,check [3] check,game [3] game,jam [3] jam,title [3] title,oh [3] oh,terry [3] terry,pepe Top Word Pairs in Tweet in G10:
[3] mdr,oryon [3] oryon,pew [3] pew,link91 [3] link91,prochaine [3] prochaine,weekly [3] weekly,nancy [3] nancy,ils [3] ils,vont [3] vont,être [3] être,choqués Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
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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:
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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: