The graph represents a network of 2,581 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, 24 May 2020 at 02:51 UTC.
The requested start date was Sunday, 24 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 9-day, 4-hour, 21-minute period from Thursday, 14 May 2020 at 19:40 UTC to Sunday, 24 May 2020 at 00:01 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 : 2581
Unique Edges : 3016
Edges With Duplicates : 9791
Total Edges : 12807
Number of Edge Types : 5
Mentions : 2422
Retweet : 3773
MentionsInRetweet : 5962
Tweet : 580
Replies to : 70
Self-Loops : 701
Reciprocated Vertex Pair Ratio : 0.0440028388928318
Reciprocated Edge Ratio : 0.0842963970088375
Connected Components : 130
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 2352
Maximum Edges in a Connected Component : 12411
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.501392
Graph Density : 0.000883618812490802
Modularity : 0.329474
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,581 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, 24 May 2020 at 02:51 UTC.
The requested start date was Sunday, 24 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 9-day, 4-hour, 21-minute period from Thursday, 14 May 2020 at 19:40 UTC to Sunday, 24 May 2020 at 00:01 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 G2:
[253] #fintech,#finserv [217] #finserv,#banking [216] covid,19 [213] #georgiesmallwood,#n26's [209] #n26's,cpo [209] first,series [208] series,#interview [208] #interview,' [207] ',spirosmargaris [207] spirosmargaris,friends' Top Word Pairs in Tweet in G3:
[366] gt,gt [174] financial,services [111] artificial,intelligence [104] #fintech,#finserv [104] link,gt [95] worldwide,spending [95] expected,reach [95] reach,45 [95] 45,billion [95] billion,2021 Top Word Pairs in Tweet in G4:
[683] well,done [207] #fintech,#finserv [166] planetcomplianc,#regtech [153] #regtech,#fintech [114] #finserv,#regulation [113] planet,compliance [113] compliance,top [113] top,50 [113] 50,regtech [113] regtech,influencers Top Word Pairs in Tweet in G5:
[91] #fintech,#finserv [85] announcement,first [63] first,#isv [61] #isv,#saas [57] #saas,#finserv [49] #finserv,ready [49] ready,public [49] public,cloud [49] cloud,one [49] one,update Top Word Pairs in Tweet in G6:
[29] #fintech,#finserv [17] small,business [17] business,administration [17] administration,issued [17] issued,loan [17] loan,forgiveness [17] forgiveness,application [17] application,last [17] last,week [17] week,hasn Top Word Pairs in Tweet in G7:
[15] international,leadership [10] leadership,perspectives [10] #lhoft,member [10] building,scaling [10] scaling,next [10] next,wave [10] wave,financial [10] financial,services [10] #fintech,#finserv [10] live,talk Top Word Pairs in Tweet in G8:
[20] the_dtcc,#dtcc [20] project,ion [16] project,whitney [16] jen,peve [16] #dtcc,explore [16] explore,further [16] further,digitalization [14] digitalization,#capitalmarkets [13] #capitalmarkets,launch [12] launch,project Top Word Pairs in Tweet in G9:
[94] covid,19 [73] digital,payment [56] payment,goes [31] goes,viral [30] viral,lessons [30] impact,#mobilemoney [30] #mobilemoney,rwanda [30] contxto_,access [30] access,cc [30] #covid19,amplified Top Word Pairs in Tweet in G10:
[7] back,recent [5] recent,report [5] report,pandemic [5] pandemic,wealth [5] wealth,management [5] management,opportunities [5] opportunities,head [5] head,strategy [5] strategy,christine [4] christine,schmid Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: