The graph represents a network of 374 Twitter users whose recent tweets contained "#OpenBanking", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 9/20/2023 12:00:00 AM and 9/27/2023 11:16:01 AM. The network was obtained from Twitter on Wednesday, 27 September 2023 at 18:16 UTC.
The tweets in the network were tweeted over the 531-day, 5-hour, 21-minute period from Thursday, 14 April 2022 at 12:26 UTC to Wednesday, 27 September 2023 at 17:48 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 : 374
Unique Edges : 471
Edges With Duplicates : 175
Total Edges : 646
Number of Edge Types : 8
Retweet : 160
MentionsInRetweet : 154
Mentions : 210
Tweet : 100
Replies to : 7
MentionsInReplyTo : 5
Quote : 5
MentionsInQuote : 5
Self-Loops : 123
Reciprocated Vertex Pair Ratio : 0.0300230946882217
Reciprocated Edge Ratio : 0.0582959641255605
Connected Components : 84
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 188
Maximum Edges in a Connected Component : 401
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.819865
Graph Density : 0.00319708678011785
Modularity : 0.65779
NodeXL Version : 1.0.1.522
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=292636
Data Import : The graph represents a network of 374 Twitter users whose recent tweets contained "#OpenBanking", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 9/20/2023 12:00:00 AM and 9/27/2023 11:16:01 AM. The network was obtained from Twitter on Wednesday, 27 September 2023 at 18:16 UTC.
The tweets in the network were tweeted over the 531-day, 5-hour, 21-minute period from Thursday, 14 April 2022 at 12:26 UTC to Wednesday, 27 September 2023 at 17:48 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 : TwitterSearch3
Graph Term : #OpenBanking
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[74] open,banking [39] 22,23 [39] nov,22 [39] #ai,london [39] #crypto,#iot [39] book,#fintech [39] #iot,#ai [39] london,nov [39] world,forum [39] 2023,#crypto Top Word Pairs in Tweet in G1:
[12] uk,europe [11] #openbanking,#openfinance [10] open,banking [6] #obexpo,uk [6] #openfinance,#opendata [6] 19,october [5] read,more [4] payment,method [4] huw,davies [3] 000,industry Top Word Pairs in Tweet in G2:
[11] open,banking [4] learn,more [4] read,more [4] co,ke [4] info,finsense [4] finsense,co [4] uk,open [4] more,co [4] #fintech,#openbanking [3] vrp,read Top Word Pairs in Tweet in G3:
[6] #fintech,#finserv [5] potential,scale [5] challenge,finchcapital [5] #openbanking,potential [5] geographic,diversity [5] scale,geographic [5] biggest,challenge [4] wave,#embeddedfinance [4] #embeddedfinance,weavrpayments [4] next,wave Top Word Pairs in Tweet in G4:
[30] workweekinc,#ai [30] shaping,future [30] trends,shaping [30] alexh_johnson,fintechtakes [30] future,fintech [30] fintech,alexh_johnson [30] fintechtakes,workweekinc [29] bimedotcom,trends [29] #ai,#gen Top Word Pairs in Tweet in G5:
[17] keynote,#cuna [17] reed,explore [17] wingate,becky [17] #cuna,technology [17] empty,promise [17] thrilled,reframe [17] becky,reed [17] workable,model [17] join,banksocial's [17] technology,council Top Word Pairs in Tweet in G6:
[20] #fintech,#banking [14] #banking,#openbanking [12] financeinnov,asocfintechins [12] francefintech,financeinnov [12] #innovation,#fintech [11] #finserv,#payments [9] asocfintechins,the_lhoft [9] #corebanking,#payments [9] #openbanking,#embeddedfinance [7] #finserv,#corebanking Top Word Pairs in Tweet in G7:
[19] open,banking [15] account,providers' [15] latest,open [15] api,metrics [15] available,see [15] banking,api [15] providers',#openbanking [15] #openbanking,apis [15] apis,performed [15] metrics,available Top Word Pairs in Tweet in G10:
[2] interested,hear [2] subscriptions,solid [2] solid,use [2] vibepay,interested [2] views,subscriptions [2] case,variable [2] peoples,views [2] variable,re [2] hear,peoples [2] vibepaywill,vibepay Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: