The graph represents a network of 106 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, 26 May 2022 at 01:56 UTC.
The requested start date was Thursday, 26 May 2022 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, 18-hour, 52-minute period from Thursday, 12 May 2022 at 03:04 UTC to Wednesday, 25 May 2022 at 21:56 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 : 106
Unique Edges : 83
Edges With Duplicates : 36
Total Edges : 119
Number of Edge Types : 5
Replies to : 14
Mentions : 30
Retweet : 18
Tweet : 30
MentionsInRetweet : 27
Self-Loops : 31
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 44
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 13
Maximum Edges in a Connected Component : 22
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.280992
Graph Density : 0.00637915543575921
Modularity : 0.670468
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 106 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, 26 May 2022 at 01:56 UTC.
The requested start date was Thursday, 26 May 2022 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, 18-hour, 52-minute period from Thursday, 12 May 2022 at 03:04 UTC to Wednesday, 25 May 2022 at 21:56 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 [11] pew,pew [8] research,center [8] social,media [5] use,internet [5] study,pew [5] pffft,goes [5] goes,#ageist [5] #ageist,stereotype [5] stereotype,older Top Word Pairs in Tweet in G1:
[12] pew,research [6] research,center [5] use,internet [4] social,media [3] study,pew [3] internet,users [3] according,pew [3] internet,according [2] according,2015 [2] 2015,study Top Word Pairs in Tweet in G2:
[2] walsh_e_patrick,obsnewreview [2] obsnewreview,harvillsecker [2] harvillsecker,pew_literary [2] pew_literary,john_s_ash [2] john_s_ash,mayafoa [2] mayafoa,bethankjones [2] bethankjones,aidanoneilll [2] aidanoneilll,htelfer1 Top Word Pairs in Tweet in G5:
[5] pffft,goes [5] goes,#ageist [5] #ageist,stereotype [5] stereotype,older [5] older,people [5] people,tech [5] tech,analysis [5] analysis,pew [5] pew,research [5] research,centre Top Word Pairs in Tweet in G8:
[3] bill,donohue [3] donohue,commentary [3] commentary,radio [3] radio,tv [3] tv,internet [3] internet,newspapers [3] newspapers,alive [3] alive,stories [3] stories,saying [3] saying,majority 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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