The graph represents a network of 5,236 Twitter users whose recent tweets contained ""policy_networks"", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 40,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 6/8/2023 11:06:23 AM. The network was obtained from Twitter on Thursday, 08 June 2023 at 18:09 UTC.
The tweets in the network were tweeted over the 1160-day, 0-hour, 53-minute period from Friday, 03 April 2020 at 23:07 UTC to Thursday, 08 June 2023 at 00:01 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5236
Unique Edges : 3527
Edges With Duplicates : 17074
Total Edges : 20601
Number of Edge Types : 9
Mentions : 379
Tweet : 244
Replies to : 1276
MentionsInReplyTo : 4127
Retweet : 5895
MentionsInRetweet : 8240
Quote : 127
MentionsInQuote : 194
MentionsInQuoteReply : 119
Self-Loops : 654
Reciprocated Vertex Pair Ratio : 0.0211634349030471
Reciprocated Edge Ratio : 0.0414496527777778
Connected Components : 219
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 4054
Maximum Edges in a Connected Component : 17827
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.562993
Graph Density : 0.000336222011597033
Modularity : 0.318397
NodeXL Version : 1.0.1.515
Data Import : The graph represents a network of 5,236 Twitter users whose recent tweets contained ""policy_networks"", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 40,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 6/8/2023 11:06:23 AM. The network was obtained from Twitter on Thursday, 08 June 2023 at 18:09 UTC.
The tweets in the network were tweeted over the 1160-day, 0-hour, 53-minute period from Friday, 03 April 2020 at 23:07 UTC to Thursday, 08 June 2023 at 00:01 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : "policy_networks"
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:
[876] kritische,infrastruktur [821] die,kritische [820] geheimdienst,die [820] deutschland,ziemlich [820] infrastruktur,deutschland [820] unterwandert,russische [820] russische,geheimdienst [820] ziemlich,krasser [819] krasser,geheimdienstk [819] policy_networks,unterwandert Top Word Pairs in Tweet in G1:
[663] kritische,infrastruktur [643] infrastruktur,deutschland [643] die,kritische [643] geheimdienst,die [643] russische,geheimdienst [643] unterwandert,russische [643] deutschland,ziemlich [643] ziemlich,krasser [642] policy_networks,unterwandert [642] krasser,geheimdienstk Top Word Pairs in Tweet in G2:
[563] correctiv_org,policy_networks [442] goeringeckardt,correctiv_org [278] russisches,gas [261] die,gaslobby [260] besteht,ganzen [260] gas,besteht [260] ganzen,netzwerk [260] netzwerk,zusammenarbeit [260] machen,netzwerk [260] netzwerk,machen Top Word Pairs in Tweet in G3:
[232] seit,angriffskrieg [228] die,stets [228] viel,seit [228] politiker,wirtschaftslenker [228] wirtschaftslenker,geschrieben [228] geschrieben,die [228] stets,günstiges [228] günstiges,gas [228] angriffskrieg,politiker [227] annikajoeres,viel Top Word Pairs in Tweet in G4:
[558] joke,need [558] need,comedians [558] russian,moles [558] such,joke [558] comedians,help [558] security,such [558] dig,russian [558] help,dig [558] natl,security [558] german,natl Top Word Pairs in Tweet in G5:
[182] zdfmagazin,janboehm [175] policy_networks,zdfmagazin [73] janboehm,policy_networks [73] kritische,infrastruktur [61] die,kritische [60] infrastruktur,deutschland [60] policy_networks,unterwandert [60] geheimdienst,die [60] russische,geheimdienst [60] unterwandert,russische Top Word Pairs in Tweet in G6:
[54] teilte,2017 [54] verbindungen,russischen [54] geheimdiensten,teilte [54] sicherheitsfirma,infotecs [54] protelion,verbindungen [54] die,sicherheitsfirma [54] russischen,geheimdiensten [54] infotecs,protelion [53] felixhuesmann,die [53] 2017,bitk Top Word Pairs in Tweet in G7:
[104] policy,networks [45] teach,first [44] transform,society [44] first,transform [44] society,policy [30] 19th,7pm [24] networks,england [20] particularly,worrying [20] findings,particularly [20] contemporary,childrens Top Word Pairs in Tweet in G8:
[42] policy,networks [38] motion,policy [31] motion,generation [26] world,leave [26] parameter,tuning [26] leave,endless [26] endless,parameter [26] promise,world [26] existing,motion [26] generation,systems Top Word Pairs in Tweet in G9:
[87] policy,networks [24] motion,policy [17] unknown,environments [17] collision,free [17] trained,using [16] motion,planning [16] challenges,traditional [16] mπnets,neural [16] environments,learn [16] free,motions Top Word Pairs in Tweet in G10:
[48] policy,networks [42] consultants,support [37] secretariat,hiring [36] support,intersessional [36] hiring,vacancies [36] intersessional,policy [36] vacancies,open [36] open,consultants [35] igf,secretariat [25] meaningful,access Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G10: