The graph represents a network of 3,355 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, 04 October 2020 at 23:43 UTC.
The requested start date was Sunday, 04 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 11-minute period from Sunday, 20 September 2020 at 00:20 UTC to Saturday, 03 October 2020 at 23:32 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 : 3355
Unique Edges : 4097
Edges With Duplicates : 13104
Total Edges : 17201
Number of Edge Types : 5
Retweet : 5082
MentionsInRetweet : 7999
Mentions : 2985
Tweet : 1081
Replies to : 54
Self-Loops : 1262
Reciprocated Vertex Pair Ratio : 0.034029693864144
Reciprocated Edge Ratio : 0.0658195679796696
Connected Components : 138
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 3076
Maximum Edges in a Connected Component : 16599
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.821464
Graph Density : 0.000699389567098298
Modularity : 0.325532
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,355 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, 04 October 2020 at 23:43 UTC.
The requested start date was Sunday, 04 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 11-minute period from Sunday, 20 September 2020 at 00:20 UTC to Saturday, 03 October 2020 at 23:32 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:
[1078] #fintech,#finserv [619] bounty,contest [619] contest,live [619] live,earn [619] earn,5000 [619] 5000,btc [619] btc,trx [619] trx,join [619] join,#neobank [619] #neobank,#banking Top Word Pairs in Tweet in G1:
[415] #fintech,#finserv [112] #finserv,#fintech [101] #finserv,#banking [95] #fintech,#banking [87] financial,services [86] digital,transformation [77] #finserv,#paytech [74] #digitaltransformation,#fintech [71] #finserv,co [60] xbond49,#fintech Top Word Pairs in Tweet in G2:
[610] bounty,contest [610] contest,live [610] live,earn [610] earn,5000 [610] 5000,btc [610] btc,trx [610] trx,join [610] join,#neobank [610] #neobank,#banking [610] #banking,#onlinebank Top Word Pairs in Tweet in G3:
[327] #fintech,#finserv [196] #finserv,#ai [153] #business,#devops [153] #devops,#fintech [151] #fintech,#banking [128] #innovation,#fintech [113] #ai,#algorithms [83] financial,services [63] #banking,#digitalbanking [58] bristowcolin,insurtechforum Top Word Pairs in Tweet in G4:
[380] gt,gt [253] financial,services [176] link,gt [172] products,services [163] #fintech,#finserv [141] antgrasso,banks [126] #finserv,#banking [105] digital,bank [102] characteristics,digital [102] bank,support Top Word Pairs in Tweet in G5:
[16] financial,institutions [14] fincen,files [14] files,catalyst [14] catalyst,reform [14] reform,addressing [14] addressing,role [14] role,financial [14] institutions,combating [11] deloachjim,fincen [10] financial,services Top Word Pairs in Tweet in G6:
[45] #fintech,#finserv [36] 66,checking [36] checking,accounts [36] accounts,opened [36] opened,digitally [36] digitally,2020 [28] research,cstoneadvisors [28] cstoneadvisors,gomyvelocity [28] gomyvelocity,66 [27] rshevlin,research Top Word Pairs in Tweet in G7:
[8] ve,built [8] built,winning [8] winning,company [8] company,based [8] based,commitment [8] commitment,professional [8] professional,excellence [8] excellence,trust [8] trust,see [7] arcuspartners,ve Top Word Pairs in Tweet in G8:
[62] well,done [40] regtech,top [40] top,100 [38] week's,regtech [38] 100,planetcomplianc [32] #fintech,#finserv [29] #finserv,#regulation [25] #regtech,#fintech [24] planet,compliance [24] compliance,top Top Word Pairs in Tweet in G9:
[11] #practicemanagement,friday [8] #business,#innovation [8] #finserv,#business [5] #advisors,#rias [5] friday,great [4] great,talk [4] innovationiid,#practicemanagement [4] 10,#podcast [4] #podcast,episodes [4] episodes,#advisors Top Word Pairs in Tweet in G10:
[35] #data,quickly [35] quickly,becoming [35] becoming,one [35] one,world's [35] world's,valuable [35] valuable,resources [35] resources,learn [35] learn,more [34] ronald_vanloon,#data [33] more,#splunkpartn Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: