The graph represents a network of 149 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, 30 July 2020 at 02:24 UTC.
The requested start date was Thursday, 30 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, 2-hour, 40-minute period from Thursday, 16 July 2020 at 01:07 UTC to Wednesday, 29 July 2020 at 03:47 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 : 149
Unique Edges : 101
Edges With Duplicates : 61
Total Edges : 162
Number of Edge Types : 5
Replies to : 22
Mentions : 23
Tweet : 63
Retweet : 26
MentionsInRetweet : 28
Self-Loops : 64
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 79
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 9
Maximum Edges in a Connected Component : 12
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.126338
Graph Density : 0.00331035733720297
Modularity : 0.59587
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 149 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, 30 July 2020 at 02:24 UTC.
The requested start date was Thursday, 30 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, 2-hour, 40-minute period from Thursday, 16 July 2020 at 01:07 UTC to Wednesday, 29 July 2020 at 03:47 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:
[53] pew,research [31] research,center [25] social,media [12] pew,pew [8] according,pew [6] facebook,twitter [6] twitter,users [6] kathryn,wit [6] wit,manager [6] manager,pew Top Word Pairs in Tweet in G1:
[32] pew,research [23] research,center [12] social,media [6] facebook,twitter [6] pew,pew [5] twitter,users [5] users,compare [5] compare,general [5] general,public [5] public,pew Top Word Pairs in Tweet in G2:
[10] social,media [6] pew,research [5] according,pew [5] research,72 [5] 72,american [5] american,public [5] public,uses [5] uses,social [5] media,day [5] day,demographics Top Word Pairs in Tweet in G4:
[2] mds,criança [2] criança,internet [2] internet,burra [2] burra,nao [2] nao,entende [2] entende,nadaaaaaa [2] eu,escrevo [2] escrevo,errado [2] errado,internet [2] internet,medo Top Word Pairs in Tweet in G5:
[5] change,time [5] time,kathryn [5] kathryn,wit [5] wit,manager [5] manager,pew [5] pew,charitable [5] charitable,trust [5] trust,broadband [5] broadband,research [4] bev4district15,change Top Word Pairs in Tweet in G6:
[4] need,podcast [4] podcast,highly [4] highly,recommend [4] recommend,kevinroose's [4] kevinroose's,rabbit [4] rabbit,hole [4] hole,traces [4] traces,similar [4] similar,path [4] path,nyt Top Word Pairs in Tweet in G7:
[2] pew,pew Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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