The graph represents a network of 5,710 Twitter users whose tweets in the requested range contained "pew research", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 16 July 2020 at 02:06 UTC.
The requested start date was Thursday, 16 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 10-day, 14-hour, 8-minute period from Saturday, 04 July 2020 at 13:20 UTC to Wednesday, 15 July 2020 at 03:28 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 : 5710
Unique Edges : 2959
Edges With Duplicates : 7196
Total Edges : 10155
Number of Edge Types : 5
Tweet : 1001
Retweet : 3245
MentionsInRetweet : 3696
Replies to : 602
Mentions : 1611
Self-Loops : 1028
Reciprocated Vertex Pair Ratio : 0.00949897560067052
Reciprocated Edge Ratio : 0.0188191881918819
Connected Components : 1059
Single-Vertex Connected Components : 528
Maximum Vertices in a Connected Component : 2441
Maximum Edges in a Connected Component : 5674
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.232993
Graph Density : 0.000166265880002049
Modularity : 0.54823
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 5,710 Twitter users whose tweets in the requested range contained "pew research", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 16 July 2020 at 02:06 UTC.
The requested start date was Thursday, 16 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 10-day, 14-hour, 8-minute period from Saturday, 04 July 2020 at 13:20 UTC to Wednesday, 15 July 2020 at 03:28 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 research
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:
[2288] pew,research [1041] research,center [492] î,î [392] according,pew [305] granted,clemency [304] republican,voters [304] voters,satisfied [303] 19,republican [303] satisfied,direction [303] 55,months Top Word Pairs in Tweet in G1:
[440] pew,research [306] research,center [69] covid,19 [50] according,pew [42] know,someone [39] due,covid [38] adults,moved [32] moved,due [32] 19,know [29] pew,charitable Top Word Pairs in Tweet in G2:
[40] know,#covid19 [40] #covid19,coming [40] coming,know [40] know,#antibioticresistance [40] #antibioticresistance,crisis [40] crisis,looming [40] looming,act [35] didnâ,know [34] saveantibiotics,didnâ [34] act,nâ Top Word Pairs in Tweet in G3:
[300] 19,republican [300] republican,voters [300] voters,satisfied [300] satisfied,direction [300] 55,months [300] months,ago [300] ago,without [299] charlesadler,19 [299] direction,countryâ [299] countryâ,55 Top Word Pairs in Tweet in G4:
[74] climate,change [58] coastal,wetlands [54] mangroves,sequester [54] sequester,3x [54] 3x,much [54] much,carbon [54] carbon,terrestrial [54] terrestrial,tropical [54] tropical,forests [54] forests,mangroves Top Word Pairs in Tweet in G5:
[104] pew,research [52] research,center [21] according,pew [18] 17,percent [17] percent,americans [16] according,devastating [16] devastating,poll [16] poll,pew [16] center,17 [16] americans,proud Top Word Pairs in Tweet in G6:
[67] survey,pewresearch [66] gender,equality [65] 57,respondents [65] respondents,survey [65] pewresearch,think [65] think,push [65] push,gender [65] equality,gone [65] gone,far [65] far,enough Top Word Pairs in Tweet in G7:
[115] fbi,data [114] data,jews [114] jews,7x [114] 7x,more [114] more,blacks [114] blacks,2x [114] 2x,more [114] more,muslims [114] muslims,hate [114] hate,crime Top Word Pairs in Tweet in G8:
[75] around,one [75] one,five [75] five,adults [75] adults,moved [75] moved,know [75] know,someone [75] someone,covid [75] covid,19 [75] 19,outbreak [75] outbreak,according Top Word Pairs in Tweet in G9:
[93] pew,research [86] according,pew [85] more,70 [85] 70,percent [85] percent,americans [85] americans,œangryâ [85] œangryâ,œstate [85] œstate,country [85] country,according [85] research,national Top Word Pairs in Tweet in G10:
[90] pew,research [87] know,pew [87] research,actually [87] actually,studied [87] studied,blm [87] blm,protesters [87] protesters,yep [87] yep,live [87] live,stereotype [87] stereotype,nearly 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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