The graph represents a network of 7,146 Twitter users whose recent tweets contained "cop27", 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 Sunday, 31 July 2022 at 23:18 UTC.
The tweets in the network were tweeted over the 6-day, 19-hour, 14-minute period from Monday, 25 July 2022 at 02:01 UTC to Sunday, 31 July 2022 at 21:16 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 : 7146
Unique Edges : 15987
Edges With Duplicates : 34239
Total Edges : 50226
Number of Edge Types : 5
Retweet : 14296
MentionsInRetweet : 27359
Mentions : 6994
Tweet : 1133
Replies to : 444
Self-Loops : 1286
Reciprocated Vertex Pair Ratio : 0.0184045960648737
Reciprocated Edge Ratio : 0.0361439768359043
Connected Components : 605
Single-Vertex Connected Components : 380
Maximum Vertices in a Connected Component : 5688
Maximum Edges in a Connected Component : 48465
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.432291
Graph Density : 0.000392317233461364
Modularity : 0.326739
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,146 Twitter users whose recent tweets contained "cop27", 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 Sunday, 31 July 2022 at 23:18 UTC.
The tweets in the network were tweeted over the 6-day, 19-hour, 14-minute period from Monday, 25 July 2022 at 02:01 UTC to Sunday, 31 July 2022 at 21:16 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 : cop27
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[7313] ahead,#cop27 [4909] #cop27,#greenlegacy [3279] undpclimate,mfaethiopia [3112] #greenlegacy,initiative [2918] climate,change [2614] acmi_africa,mfaethiopia [2428] mfaethiopia,#greenlegacychallenge [2338] #greenlegacychallenge,#ethiopiaprevails [2274] #greenlegacy,undpclimate [2138] trees,ahead Top Word Pairs in Tweet in G1:
[350] climate,change [221] #cop26,presidency [208] presidency,uk [208] uk,working [177] sharm,sheikh [177] ahead,#cop27 [172] young,people [171] youth,envoy [154] #cop27,sharm [149] sheikh,egypt Top Word Pairs in Tweet in G2:
[7046] ahead,#cop27 [4905] #cop27,#greenlegacy [3276] undpclimate,mfaethiopia [3109] #greenlegacy,initiative [2611] acmi_africa,mfaethiopia [2428] mfaethiopia,#greenlegacychallenge [2338] #greenlegacychallenge,#ethiopiaprevails [2272] #greenlegacy,undpclimate [2136] trees,ahead [2090] climate,change Top Word Pairs in Tweet in G3:
[96] global,warming [85] 0,emission [63] 26,cops [54] girls,women [53] #peace,#globalcrisis [53] #globalcrisis,#nature [53] #nature,#pax21 [53] #pax21,#earthkeepersunite [53] #climatecrisis,#sdg [53] #sdg,#cop27 Top Word Pairs in Tweet in G4:
[137] prisoners,conscience [110] اللي,بيحصل [87] before,#cop27 [86] egyptian,government [85] hundred,days [81] days,before [81] #cop27,starts [81] starts,calling [81] calling,egyptian [81] government,#freealaa Top Word Pairs in Tweet in G5:
[59] المناخ,cop27 [44] human,rights [43] rights,abuses [42] whitewash,human [41] use,cop27 [41] cop27,whitewash [40] fears,egypt [40] egypt,use [29] climate,change [23] مؤتمر,المناخ Top Word Pairs in Tweet in G6:
[310] كنت,ناوي [310] ناوي,اوقف [310] اوقف,الحديث [310] الحديث,عن [310] عن,جرائم [310] جرائم,تدمير [310] تدمير,الشواطيء [310] الشواطيء,و [310] و,لكن [310] لكن,خوفي Top Word Pairs in Tweet in G7:
[66] whatsapp,viber [57] climate,change [51] les,enjeux [41] #journeytocop27,#cop27 [39] viber,unicef [36] change,here [36] here,preparing [36] preparing,adapt [36] adapt,impacts [36] impacts,want Top Word Pairs in Tweet in G8:
[250] miles,trabajadores [250] trabajadores,ambientalistas [250] ambientalistas,unieron [250] unieron,mundo [250] mundo,lanzamiento [250] lanzamiento,#deudaxclima [250] #deudaxclima,súmate [250] súmate,próxima [250] próxima,acción [250] acción,global Top Word Pairs in Tweet in G9:
[61] thousands,workers [61] workers,climate [61] climate,justice [61] justice,activists [61] around,world [61] launch,#debtforclimate [61] next,global [61] global,action [61] lead,up [35] climate,action Top Word Pairs in Tweet in G10:
[130] new,coal [78] science,tells [78] safe,climate [65] tanya_plibersek,possibly [65] possibly,explain [65] explain,s [65] s,unreasonable [65] unreasonable,proposition [65] proposition,australia [65] australia,shouldn Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: