The graph represents a network of 4,774 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, 17 December 2020 at 03:12 UTC.
The requested start date was Thursday, 17 December 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 13-day, 22-hour, 39-minute period from Thursday, 03 December 2020 at 01:05 UTC to Wednesday, 16 December 2020 at 23:44 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 : 4774
Unique Edges : 2992
Edges With Duplicates : 5344
Total Edges : 8336
Number of Edge Types : 5
Retweet : 2306
MentionsInRetweet : 2822
Tweet : 843
Mentions : 1835
Replies to : 530
Self-Loops : 863
Reciprocated Vertex Pair Ratio : 0.0164077882301466
Reciprocated Edge Ratio : 0.0322858372793801
Connected Components : 920
Single-Vertex Connected Components : 419
Maximum Vertices in a Connected Component : 1521
Maximum Edges in a Connected Component : 3929
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.301904
Graph Density : 0.000203894427450316
Modularity : 0.565671
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,774 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, 17 December 2020 at 03:12 UTC.
The requested start date was Thursday, 17 December 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 13-day, 22-hour, 39-minute period from Thursday, 03 December 2020 at 01:05 UTC to Wednesday, 16 December 2020 at 23:44 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:
[1726] pew,research [834] research,center [393] covid,19 [273] know,someone [271] someone,hospitalized [266] according,pew [260] hospitalized,died [215] more,half [155] half,adults [154] prioritise,sustainability Top Word Pairs in Tweet in G1:
[384] pew,research [248] research,center [61] according,pew [43] covid,19 [36] pew,charitable [33] charitable,trusts [21] 19,vaccine [19] ø,ø [17] ø,ù [15] definitely,probably Top Word Pairs in Tweet in G2:
[54] people,probation [51] more,people [41] mental,health [35] pewtrusts,study [35] study,time [35] time,served [35] served,probation [35] probation,important [35] important,more [35] probation,jail Top Word Pairs in Tweet in G3:
[43] climate,change [30] symptom,climate [30] change,solution [30] solution,high [30] high,list [30] list,potential [28] ocean,isn [28] isn,symptom [28] potential,actions [27] offshore,pacific Top Word Pairs in Tweet in G4:
[154] prioritise,sustainability [152] week's,#agrifish [152] #agrifish,council [152] council,eu [152] eu,prioritise [152] sustainability,#endoverfishing [152] #endoverfishing,limits [152] limits,sets [151] peweurope,week's [51] fisheries,ministers Top Word Pairs in Tweet in G5:
[150] more,half [144] know,someone [144] someone,hospitalized [144] hospitalized,died [144] died,due [143] slightly,more [143] half,adults [143] adults,54 [143] 54,know [143] due,covid Top Word Pairs in Tweet in G6:
[107] know,someone [107] someone,hospitalized [107] hospitalized,died [107] covid,19 [106] majority,americans [106] americans,54 [106] 54,personally [106] personally,know [106] died,covid [105] ryanstruyk,majority Top Word Pairs in Tweet in G7:
[39] pew,research [7] according,pew [7] registered,voters [7] research,center [6] realdonaldtrump,pew [6] 49,registered [5] voters,identify [3] 44,identify [3] research,152 [3] 152,000 Top Word Pairs in Tweet in G8:
[2] pew,research Top Word Pairs in Tweet in G9:
[57] pew,research [45] research,center [42] analysis,conducted [42] conducted,pew [42] center,finds [42] finds,rural [42] rural,areas [42] areas,sparsely [42] sparsely,populated [42] populated,account Top Word Pairs in Tweet in G10:
[77] 美國皮尤研究中心,pew [77] pew,research [77] research,center [77] center,调查显示 [77] 调查显示,西方国家对中国的负面印象普遍加剧 [77] 西方国家对中国的负面印象普遍加剧,最多日本人最讨厌中国 [77] 最多日本人最讨厌中国,比例达86 [77] 比例达86,瑞典居次 [77] 瑞典居次,85 [77] 85,澳大利亚第三 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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:
Top Tweeters in G3:
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: