The graph represents a network of 10 933 Twitter users whose recent tweets contained "#greatreset", 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, 31 October 2022 at 20:48 UTC.
The tweets in the network were tweeted over the 6-day, 14-hour, 15-minute period from Tuesday, 25 October 2022 at 05:44 UTC to Monday, 31 October 2022 at 19:59 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 : 10933
Unique Edges : 17496
Edges With Duplicates : 7018
Total Edges : 24514
Number of Edge Types : 5
Retweet : 13686
Tweet : 2728
MentionsInRetweet : 3829
Mentions : 2456
Replies to : 1815
Self-Loops : 2868
Reciprocated Vertex Pair Ratio : 0,00255569753875215
Reciprocated Edge Ratio : 0,00509836519811582
Connected Components : 975
Single-Vertex Connected Components : 581
Maximum Vertices in a Connected Component : 8803
Maximum Edges in a Connected Component : 21724
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4,909468
Graph Density : 0,000150979476530184
Modularity : 0,569419
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 10 933 Twitter users whose recent tweets contained "#greatreset", 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, 31 October 2022 at 20:48 UTC.
The tweets in the network were tweeted over the 6-day, 14-hour, 15-minute period from Tuesday, 25 October 2022 at 05:44 UTC to Monday, 31 October 2022 at 19:59 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 : #greatreset
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:
[2298] klaus,schwab [1964] des,#wef [1637] den,#greatreset [1445] #wef,und [1428] und,laut [1272] #greatreset,des [1260] der,#greatreset [1222] auf,ntvde [1154] vom,#wef [1146] ntvde,#greatreset Top Word Pairs in Tweet in G1:
[851] klaus,schwab [574] es,ist [504] ist,die [488] der,#greatreset [437] ist,ein [421] #wef,#klausschwab [404] ein,plan [400] klar,dass [400] #klausschwab,#greatreset [399] den,plan Top Word Pairs in Tweet in G2:
[1265] des,#wef [1140] auf,ntvde [1099] #greatreset,des [1091] #wef,und [1087] und,laut [1072] ntvde,#greatreset [1034] die,reichen [1025] von,#klausschwab [1024] reichen,werden [1020] mehr,menschen Top Word Pairs in Tweet in G3:
[549] op,de [520] voor,de [519] niet,meer [509] de,overheid [506] omdat,je [505] dit,ook [503] pinnen,omdat [503] digitale,munt [503] doorgaat,#greatreset [503] vanwege,je Top Word Pairs in Tweet in G4:
[574] le,#greatreset [232] pour,le [214] #greatreset,et [208] va,se [207] ce,qui [203] de,ce [203] de,dollars [202] trump,ont [202] ans,avec [202] enclenché,ans Top Word Pairs in Tweet in G5:
[570] wahrheit,#wahrheit [570] vorstellen,können [570] #wahrheit,#greatreset [570] #zungenbrecher,#wahnsinn [570] können,ein [570] hätte,sich [570] ein,zungenbrecher [570] der,wahrheit [570] zungenbrecher,der [570] keiner,vorstellen Top Word Pairs in Tweet in G6:
[454] klaus,schwab [388] weltwirtschaftsforums,#wef [388] des,weltwirtschaftsforums [250] von,klaus [247] und,zu [243] ansichten,zur [243] zur,covid [243] covid,krise [243] mit,verstörenden [243] verstörenden,ansichten Top Word Pairs in Tweet in G7:
[67] zum,#greatreset [67] des,#wef [65] doku,zum [64] #greatreset,des [64] jetzt,auf [64] tv,doku [63] auf,tv [46] den,#greatreset [34] great,reset [34] vom,#wef Top Word Pairs in Tweet in G8:
[232] klaus,schwab [223] den,#greatreset [189] das,ist [188] über,den [187] #wef,und [186] den,#wef [185] klärt,auf [185] soziale,bonitätsbewertung [185] er,klärt [185] #greatreset,digitale Top Word Pairs in Tweet in G9:
[118] tells,fingers [118] slash,burn [118] grabbing,state [118] mps,goddersbloom [118] ears,suggested [118] sort,uk's [118] economy,#wef [118] #uk,#economy [118] money,grabbing [118] burn,corrupt Top Word Pairs in Tweet in G10:
[95] #greatreset,ist [89] der,#greatreset [87] ist,der [86] fälschung,der [86] protokolle,der [86] sogenannten,protokolle [86] verschwörungs,schwachsinn [86] weisen,von [86] schwachsinn,seit [86] der,größte Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
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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 Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: