The graph represents a network of 2,291 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 May 2020 at 02:51 UTC.
The requested start date was Sunday, 17 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 8-day, 3-hour, 28-minute period from Friday, 08 May 2020 at 19:45 UTC to Saturday, 16 May 2020 at 23:14 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 : 2291
Unique Edges : 3217
Edges With Duplicates : 10250
Total Edges : 13467
Number of Edge Types : 5
Retweet : 3870
MentionsInRetweet : 6770
Mentions : 2223
Tweet : 544
Replies to : 60
Self-Loops : 657
Reciprocated Vertex Pair Ratio : 0.041407867494824
Reciprocated Edge Ratio : 0.0795228628230616
Connected Components : 90
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 2116
Maximum Edges in a Connected Component : 13157
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.270926
Graph Density : 0.00115050539513837
Modularity : 0.297609
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 2,291 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 May 2020 at 02:51 UTC.
The requested start date was Sunday, 17 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 8-day, 3-hour, 28-minute period from Friday, 08 May 2020 at 19:45 UTC to Saturday, 16 May 2020 at 23:14 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 : GraphServerTwitterSearch
Graph Term : #FinServ
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:
[875] gt,gt [645] #fintech,#finserv [436] ty,wef [321] financial,services [299] wef,enricomolinari [278] #ai,#iot [225] #finserv,#banking [183] enricomolinari,#ehealth [171] #fintech,#banking [170] ty,101blockchains Top Word Pairs in Tweet in G1:
[484] #fintech,#finserv [197] #finserv,#banking [110] gt,gt [97] #fintech,#banking [96] #banking,#finserv [91] #finserv,#fintech [73] financial,services [66] #finserv,#ai [58] #banking,#fintech [57] #business,#devops Top Word Pairs in Tweet in G2:
[162] ty,wef [161] enricomolinari,#ehealth [151] ty,101blockchains [151] 101blockchains,enricomolinari [139] #ai,#iot [128] #ehealth,#ai [115] enricomolinari,#smartcities [111] gt,gt [104] wef,enricomolinari [95] #finserv,#blockchain Top Word Pairs in Tweet in G3:
[628] gt,gt [221] ty,wef [195] financial,services [157] wef,enricomolinari [103] #ai,#iot [93] link,gt [78] need,better [78] better,articulate [78] articulate,clear [78] clear,benefits Top Word Pairs in Tweet in G4:
[72] #startup,#innovation [69] #fintech,#insurtech [69] #insurtech,#startup [55] #infographic,#productivity [55] #startup,#mpgvip [46] #productivity,#digitalmarketing [46] #digitalmarketing,#growthhacking [46] #growthhacking,#startup [46] #mpgvip,#defstar5 [46] #defstar5,#makeyourownlane Top Word Pairs in Tweet in G5:
[57] well,done [50] #fintech,#finserv [46] planet,compliance [46] compliance,top [46] top,50 [46] 50,regtech [46] regtech,influencers [43] #regtech,#fintech [41] planetcomplianc,#regtech [38] #finserv,#regulation Top Word Pairs in Tweet in G6:
[8] #fintech,#finserv [5] #finserv,#fintech [4] covid,19 [3] #banking,#finserv [3] learn,more [3] #strategy,#banking [3] #banking,#fintech [3] finacle,learn [3] learn,#bank [3] #bank,benefit Top Word Pairs in Tweet in G7:
[7] access,cc [6] #finserv,#latam [5] financial,inclusion [5] contxto_,access [4] #covid19,amplified [4] amplified,importance [4] importance,insurance [4] insurance,kategrinehart [4] kategrinehart,cenfri_org [4] cenfri_org,explores Top Word Pairs in Tweet in G8:
[43] #fintech,#banking [38] #innovation,#fintech [21] #banking,#digitalbanking [17] #openbanking,#openapis [16] #finserv,#payments [13] #openapis,#finserv [11] #ai,#machinelearning [11] #machinelearning,#bigdata [10] #pfm,#opendata [10] #disruption,#fintech Top Word Pairs in Tweet in G9:
[14] market,explosive [14] explosive,growth [14] growth,banking [14] banking,financial [14] financial,services [14] services,insurance [14] insurance,firms [14] firms,leading [13] data,#analytics [13] #analytics,market Top Word Pairs in Tweet in G10:
[11] custodians,partnering [11] partnering,#fintech [11] #fintech,firms [11] firms,bring [11] bring,developments [11] developments,unhindered [11] unhindered,legacy [11] legacy,systems [11] systems,processes [11] register,#dtcc Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
Top Mentioned in G4:
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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: