The graph represents a network of 7,269 Twitter users whose recent tweets contained "#banking", 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, 02 August 2021 at 11:16 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 45-minute period from Sunday, 25 July 2021 at 01:50 UTC to Monday, 02 August 2021 at 09:35 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 : 7269
Unique Edges : 14956
Edges With Duplicates : 16170
Total Edges : 31126
Number of Edge Types : 5
Mentions : 5652
Retweet : 5837
MentionsInRetweet : 13002
Replies to : 827
Tweet : 5808
Self-Loops : 6139
Reciprocated Vertex Pair Ratio : 0.0433112336575996
Reciprocated Edge Ratio : 0.0830264877063784
Connected Components : 1676
Single-Vertex Connected Components : 1188
Maximum Vertices in a Connected Component : 4352
Maximum Edges in a Connected Component : 26082
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.169204
Graph Density : 0.000318713836162993
Modularity : 0.452508
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,269 Twitter users whose recent tweets contained "#banking", 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, 02 August 2021 at 11:16 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 45-minute period from Sunday, 25 July 2021 at 01:50 UTC to Monday, 02 August 2021 at 09:35 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 : #banking
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:
[819] #fintech,#banking [754] #banking,#finance [724] #finance,#banking [621] #money,#loan [586] #banking,#bank [578] #banking,#fintech [426] #fintech,#finserv [405] #economy,#banks [405] #banks,#money [401] #money,#business Top Word Pairs in Tweet in G1:
[260] link,bio [169] click,link [125] #banking,#finance [104] #banking,job [80] national,bank [79] bio,apply [74] city,national [67] see,latest [65] comerica,bank [59] bio,see Top Word Pairs in Tweet in G2:
[452] #fintech,#banking [390] #banking,#finance [354] #banking,#fintech [326] #finserv,#banking [299] #fintech,#finserv [292] #money,#loan [269] #banking,#openbanking [256] #finance,#bank [256] #bank,#money [228] #fintech,#startups Top Word Pairs in Tweet in G3:
[57] #banking,#digitalbanking [55] #fintech,#banking [39] #banking,#finance [29] #fintech,#fintechnews [27] #banking,#fintech [26] #financialtechnology,#financialservices [26] #banking,#bookkeeping [26] #bookkeeping,#cashflow [26] #tax,#vat [25] #digitaltransformation,#banking Top Word Pairs in Tweet in G4:
[103] yono,sbi [36] mobile,number [35] number,registered [35] #yonosbi,#yono [35] #yono,#banking [35] #banking,#upgrade [34] bank,securely [34] securely,yono [34] sbi,yono [34] sbi,leveling Top Word Pairs in Tweet in G5:
[263] #eqibank,#finance [262] #finance,#banking [259] #defi,#blockchain [259] #blockchain,#eqifi [259] #eqifi,#eqibank [255] #banking,#thefuture [248] #thefuture,ibtimes [233] international,business [233] business,times [233] defi,end Top Word Pairs in Tweet in G6:
[401] #economy,#banks [399] #banks,#money [399] #money,#business [399] #business,#market [399] #market,#news [185] #android,#banking [159] #banking,#trojan [147] #trojan,#malware [133] google,play [110] trcert,malwrhunterteam Top Word Pairs in Tweet in G7:
[17] global,financial [17] financial,corruption [17] corruption,anthony [17] anthony,stansfield [17] stansfield,ukparliament [16] gm4women2028,andyburnhamgm [16] andyburnhamgm,evefrancisholt [16] evefrancisholt,helenpankhurst [16] helenpankhurst,profjuliarouse [16] profjuliarouse,uomeandd_sarah Top Word Pairs in Tweet in G8:
[107] #fx,#banking [77] #fintech,#finserv [74] eurusd,eur [73] #banking,#trading [69] #fintech,#banking [69] #eurusd,eurusd [68] #disruption,#blockchain [65] ask,price [65] price,lt [55] #blockchain,#fintech Top Word Pairs in Tweet in G9:
[191] #regtech,#compliance [112] #fintech,#data [112] #data,#datascience [112] #datascience,#analytics [112] #analytics,#fintechlife [112] #fintechlife,#banking [112] #banking,#bank [111] #bank,#fintechfinance [111] #fintechfinance,#lendtech [111] #lendtech,#knowyourcustomer Top Word Pairs in Tweet in G10:
[152] private,banks [142] #banking,#frauds [132] र,ब [132] ब,क [132] ख,धड [76] thewirehindi,rbi [76] rbi,annual [76] annual,report [76] report,number [76] number,frauds Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: