The graph represents a network of 19,753 Twitter users whose recent tweets contained "climate", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 09 January 2023 at 05:12 UTC.
The tweets in the network were tweeted over the 5-hour, 40-minute period from Sunday, 08 January 2023 at 22:36 UTC to Monday, 09 January 2023 at 04:17 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 : 19753
Unique Edges : 23284
Edges With Duplicates : 4463
Total Edges : 27747
Number of Edge Types : 5
Retweet : 12298
Tweet : 3694
Replies to : 3784
MentionsInRetweet : 2960
Mentions : 5011
Self-Loops : 3782
Reciprocated Vertex Pair Ratio : 0.0103078677309008
Reciprocated Edge Ratio : 0.0204053993047718
Connected Components : 3050
Single-Vertex Connected Components : 1328
Maximum Vertices in a Connected Component : 12497
Maximum Edges in a Connected Component : 19842
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.350882
Graph Density : 5.67739611746585E-05
Modularity : 0.786827
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 19,753 Twitter users whose recent tweets contained "climate", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 09 January 2023 at 05:12 UTC.
The tweets in the network were tweeted over the 5-hour, 40-minute period from Sunday, 08 January 2023 at 22:36 UTC to Monday, 09 January 2023 at 04:17 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 : TwitterSearch
Graph Term : climate
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[9136] climate,change [1661] healthy,athletes [1661] started,randomly [1660] randomly,collapsing [1660] athletes,started [1660] collapsing,climate [1659] weird,healthy [733] climate,crisis [587] #actonclimate,#climate [382] climate,action Top Word Pairs in Tweet in G1:
[1655] climate,change [1565] started,randomly [1564] collapsing,climate [1564] randomly,collapsing [1564] healthy,athletes [1564] athletes,started [1563] weird,healthy [28] ksorbs,climate [11] heart,attacks [10] change,think Top Word Pairs in Tweet in G2:
[638] climate,change [338] jan,climate [336] climate,high [216] precip,snow [202] snow,missing [109] snow,depth [106] snow,snow [49] airport,jan [36] ca,jan [32] kt22,kt22 Top Word Pairs in Tweet in G3:
[499] #actonclimate,#climate [291] river,levels [290] time,wait [287] wait,#actonclimate [286] hunger,stones [285] europe,hunger [285] stones,visible [285] famines,elbe [285] visible,stones [285] desperately,river Top Word Pairs in Tweet in G4:
[414] climate,change [104] hijacking,science [104] doomsters,hijacking [104] toxic,agenda [104] science,push [104] climate,doomsters [104] push,toxic [54] fossil,fuels [49] carbon,credits [46] climate,crisis Top Word Pairs in Tweet in G5:
[186] climate,idiocy [144] 15,climate [133] climate,change [113] global,warming [92] climate,hoax [88] temp,january [87] sea,level [86] 18,feet [85] feet,higher [85] hansen,centerforbiodiv Top Word Pairs in Tweet in G6:
[187] climate,change [149] private,jets [74] average,train [74] train,ride [74] times,greenhouse [74] jets,acceptable [74] #climate,emergency [74] jets,10 [74] gas,emissions [74] regular,flight Top Word Pairs in Tweet in G7:
[337] climate,change [254] fight,climate [248] mail,trucks [247] electric,inflation [247] inflation,reduction [247] act,president [247] corporations,pay [247] trucks,electric [247] pay,fairer [247] democrats,congress Top Word Pairs in Tweet in G8:
[166] climate,change [57] conference,climate [50] climate,crisis [46] climate,#resilientpakistan [34] international,conference [33] climate,resilient [28] impacts,climate [28] govtofpakistan,un [27] climate,news [26] responds,great Top Word Pairs in Tweet in G9:
[118] climate,change [39] climate,strike [38] climate,crisis [32] climate,action [28] global,climate [20] climate,justice [16] #fridaysforfuture,#climatestrike [15] strike,week [14] strikes,pacific [14] #climatestrike,#peoplenotprofit Top Word Pairs in Tweet in G10:
[380] climate,change [284] isabellamdeluca,mystery [284] mystery,climate [29] randomly,collapsing [29] started,randomly [29] athletes,started [29] healthy,athletes [29] collapsing,climate [29] weird,healthy [15] #iglesiadelacalentologia,#ecoterrorismo 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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Top Tweeters in G10: