The graph represents a network of 9,588 Twitter users whose tweets in the requested range contained "global warming", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 September 2020 at 05:46 UTC.
The requested start date was Monday, 28 September 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 3-day, 16-hour, 37-minute period from Thursday, 24 September 2020 at 07:23 UTC to Monday, 28 September 2020 at 00:00 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 : 9588
Unique Edges : 6521
Edges With Duplicates : 10330
Total Edges : 16851
Number of Edge Types : 5
Retweet : 4682
MentionsInRetweet : 6302
Tweet : 1533
Replies to : 1571
Mentions : 2763
Self-Loops : 1620
Reciprocated Vertex Pair Ratio : 0.0118525896414343
Reciprocated Edge Ratio : 0.0234275027069593
Connected Components : 2004
Single-Vertex Connected Components : 754
Maximum Vertices in a Connected Component : 3634
Maximum Edges in a Connected Component : 8539
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.875926
Graph Density : 0.00011051982984015
Modularity : 0.619791
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,588 Twitter users whose tweets in the requested range contained "global warming", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 September 2020 at 05:46 UTC.
The requested start date was Monday, 28 September 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 3-day, 16-hour, 37-minute period from Thursday, 24 September 2020 at 07:23 UTC to Monday, 28 September 2020 at 00:00 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 : global warming
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:
[5183] global,warming [948] climate,change [396] ice,free [396] crop,failures [394] change,beginners [394] beginners,arctic [394] arctic,becomes [394] becomes,ice [394] free,global [394] global,crop Top Word Pairs in Tweet in G1:
[899] global,warming [125] climate,change [75] warming,climate [57] money,pump [57] pump,overpopulated [57] overpopulated,countries [57] countries,fuel [57] fuel,more [57] more,economic [57] economic,demographic Top Word Pairs in Tweet in G2:
[413] climate,change [388] ice,free [388] crop,failures [387] change,beginners [387] beginners,arctic [387] arctic,becomes [387] becomes,ice [387] free,global [387] global,crop [387] failures,kills Top Word Pairs in Tweet in G3:
[78] global,warming [10] climate,change [6] twtthisisnow,fcmfcs2019 [6] stevenmosher,jimdtweet [6] question,global [6] warming,going [6] going,increase [6] increase,threat [6] threat,more [6] more,frequent Top Word Pairs in Tweet in G4:
[333] peace,neighbors [333] covid,19 [332] neighbors,covid [331] 19,money [322] money,laundering [319] address,peace [316] pm,imrankhanpti [307] imrankhanpti,'s [305] 's,address [301] summar,pm Top Word Pairs in Tweet in G5:
[195] global,warming [35] climate,change [19] working,together [19] together,effectively [19] effectively,tackle [19] tackle,global [19] global,problems [19] problems,poverty [19] poverty,global [19] warming,ensuring Top Word Pairs in Tweet in G6:
[251] eat,furits [251] furits,vegetables [251] vegetables,gardens [251] gardens,ignore [251] ignore,fact [248] planet,ways [246] destroying,planet [222] fact,sre [222] sre,destroying [185] global,warming Top Word Pairs in Tweet in G7:
[185] depressing,labor [185] labor,frontbencher [185] frontbencher,clareoneilmp [185] clareoneilmp,exclusively [185] exclusively,sharing [185] sharing,neoliberal [185] neoliberal,dogma [185] dogma,murdoch [185] murdoch,anti [184] dougcameron51,depressing Top Word Pairs in Tweet in G8:
[252] global,warming [247] effects,global [247] warming,arctic [247] arctic,severe [247] severe,climate [247] climate,already [247] already,shifting [245] stopped,effects [244] robgmacfarlane,stopped [4] channel,great Top Word Pairs in Tweet in G9:
[179] global,warming [51] cold,snap [47] snow,falls [47] falls,south [47] south,australia [46] davemyface,global [46] warming,causes [46] causes,snow [46] snow,snow [46] australia,unusually Top Word Pairs in Tweet in G10:
[141] violent,environmental [141] environmental,extremist [141] extremist,radicalized [141] radicalized,hateful [141] hateful,language [141] language,pumped [141] pumped,daily [141] daily,cathmckenna [140] ezralevant,violent [26] global,warming Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: