The graph represents a network of 6,004 Twitter users whose tweets in the requested range contained "#climatechange", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 May 2020 at 00:11 UTC.
The requested start date was Thursday, 14 May 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 1-day, 7-hour, 42-minute period from Monday, 11 May 2020 at 19:39 UTC to Wednesday, 13 May 2020 at 03:22 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 : 6004
Unique Edges : 4298
Edges With Duplicates : 8565
Total Edges : 12863
Number of Edge Types : 5
Mentions : 2446
Retweet : 3587
MentionsInRetweet : 5396
Tweet : 1198
Replies to : 236
Self-Loops : 1299
Reciprocated Vertex Pair Ratio : 0.021240199572345
Reciprocated Edge Ratio : 0.0415968732551647
Connected Components : 968
Single-Vertex Connected Components : 364
Maximum Vertices in a Connected Component : 2787
Maximum Edges in a Connected Component : 7672
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.151034
Graph Density : 0.000198768037700004
Modularity : 0.553728
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 6,004 Twitter users whose tweets in the requested range contained "#climatechange", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 May 2020 at 00:11 UTC.
The requested start date was Thursday, 14 May 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 1-day, 7-hour, 42-minute period from Monday, 11 May 2020 at 19:39 UTC to Wednesday, 13 May 2020 at 03:22 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 : #climatechange
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:
[313] #climatechange,#coronavirus [294] great,depression [294] depression,#climatechange [294] #coronavirus,democrats [294] democrats,expert [294] expert,practitioners [294] practitioners,politics [291] dineshdsouza,great [291] politics,fe [270] climate,change Top Word Pairs in Tweet in G1:
[32] covid,19 [31] gas,fired [30] government's,covid [30] 19,economic [30] economic,recovery [30] recovery,committee [30] committee,looks [30] looks,fixed [30] fixed,gas [30] fired,rebound Top Word Pairs in Tweet in G2:
[38] climate,change [13] #globalwarming,#climatechange [13] #climatechange,#globalwarming [8] global,warming [8] change,#climatechange [8] #temperature,#climatechange [7] #climatechange,#covid19 [6] #climatechange,#climateaction [6] learn,more [6] #covid19,#climatechange Top Word Pairs in Tweet in G3:
[291] great,depression [291] depression,#climatechange [291] #climatechange,#coronavirus [291] #coronavirus,democrats [291] democrats,expert [291] expert,practitioners [291] practitioners,politics [290] dineshdsouza,great [290] politics,fe Top Word Pairs in Tweet in G4:
[68] climate,deniers [52] deal,#climatecrisis [52] #climatecrisis,please [52] please,vote [52] vote,#climatepoli [50] geraldkutney,best [37] geraldkutney,climate [33] #climatepoli,#climatechange [31] best,prime [31] prime,minister Top Word Pairs in Tweet in G5:
[64] climate,change [51] read,more [42] #climateaction,#climatechange [38] more,#adaptation [31] #adaptation,#antarctica [27] #antarctica,#arctic [26] #climatechange,#climatescience [25] #arctic,#carbondioxide [25] #carbondioxide,#climateaction [25] #climatescience,#climatology Top Word Pairs in Tweet in G6:
[101] trump,admin [101] admin,hurrying [101] hurrying,destroy [101] destroy,many [101] many,regulations [101] regulations,possible [101] possible,before [101] before,election [101] election,link [86] smartdissent,trump Top Word Pairs in Tweet in G7:
[165] yeah,meaningless [165] meaningless,2000 [165] 2000,scientists [165] scientists,sign [165] sign,letter [165] letter,saying [165] saying,#climatechange [165] #climatechange,really [165] really,bad [165] bad,former Top Word Pairs in Tweet in G8:
[17] climate,change [15] east,africa [14] billions,desert [14] desert,locusts [14] locusts,swarming [14] swarming,east [14] africa,threatening [14] threatening,food [14] food,supply [14] supply,tens Top Word Pairs in Tweet in G9:
[16] climate,change [10] against,#climatechange [6] net,zero [6] #covid19,ravaging [6] ravaging,vulnerable [6] vulnerable,communities [6] communities,lack [6] lack,adequate [6] adequate,access [6] access,water Top Word Pairs in Tweet in G10:
[80] temperature,change [80] change,country [80] country,years [80] years,1900 [80] 1900,2019 [80] 2019,click [80] click,animation [80] animation,pause [80] pause,find [80] find,home Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: