The graph represents a network of 2,439 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, 14 June 2020 at 02:51 UTC.
The requested start date was Sunday, 14 June 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, 20-hour, 4-minute period from Wednesday, 03 June 2020 at 15:23 UTC to Saturday, 13 June 2020 at 11:27 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 : 2439
Unique Edges : 3534
Edges With Duplicates : 9500
Total Edges : 13034
Number of Edge Types : 5
Mentions : 2528
MentionsInRetweet : 6228
Retweet : 3444
Tweet : 777
Replies to : 57
Self-Loops : 915
Reciprocated Vertex Pair Ratio : 0.0447909754479098
Reciprocated Edge Ratio : 0.0857415052397587
Connected Components : 127
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 2123
Maximum Edges in a Connected Component : 12484
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.50293
Graph Density : 0.00105914922972035
Modularity : 0.330726
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,439 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, 14 June 2020 at 02:51 UTC.
The requested start date was Sunday, 14 June 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, 20-hour, 4-minute period from Wednesday, 03 June 2020 at 15:23 UTC to Saturday, 13 June 2020 at 11:27 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:
[352] #fintech,#finserv [197] ty,wef [119] enricomolinari,#fintech [101] #finserv,#ai [92] wef,enricomolinari [90] power,ty [64] ty,tictoc [56] tictoc,enricomolinari [56] #ai,#robotics [54] #robotics,#renewable Top Word Pairs in Tweet in G3:
[160] gt,gt [139] #fintech,#finserv [135] #finserv,#ai [130] #fintech,#banking [127] #innovation,#fintech [107] link,gt [103] #business,#devops [103] #devops,#fintech [93] #ai,#algorithms [93] antgrasso,fisher85m Top Word Pairs in Tweet in G4:
[400] #fintech,#finserv [248] #finserv,#banking [126] #fintech,#banking [112] #banking,#finserv [85] banks,took [80] took,11 [71] 11,#billion [71] #billion,#overdraftfees [58] #overdraftfees,2019 [57] 2019,more Top Word Pairs in Tweet in G5:
[79] #fintech,#finserv [35] #finserv,#banking [28] financial,services [28] forbes,#finserv [18] 10,00 [18] markwhitcroft,illuminatefm [18] #finserv,#fintech [18] #banking,#finserv [18] #finserv,#cdwsocial [18] covid,19 Top Word Pairs in Tweet in G6:
[40] well,done [19] top,100 [17] regtech,top [12] planet,compliance [12] compliance,top [12] top,50 [12] 50,regtech [11] regtech,influencers [10] week's,regtech [10] 100,planetcomplianc Top Word Pairs in Tweet in G7:
[79] #fintech,#finserv [44] #finserv,#banking [41] rshevlin,ipfconline1 [40] deeplearn007,jimmarous [40] financial,services [40] jimmarous,banking [40] banking,move [40] move,beyond [39] beyond,ai [39] ai,hype Top Word Pairs in Tweet in G8:
[19] #fintech,#finserv [7] financial,crime [7] #fintech,#fincrime [6] psb_dc,counting [5] counting,down [5] down,fintechtalents [5] fintechtalents,virtual [5] virtual,spring [5] #ftt20virtual,#fintech [5] #fincrime,#finserv Top Word Pairs in Tweet in G9:
[17] important,developments [13] developments,fintech [12] fintech,let's [9] let's,look [9] look,infographic [9] infographic,jimmarous [9] jimmarous,visualcap [9] visualcap,growurstartup [7] lindagrass0,important [7] mckinsey_mgi,research Top Word Pairs in Tweet in G10:
[37] #finserv,pls [37] pls,know [37] know,minorities [37] minorities,enrich [35] enrich,finserv [35] finserv,aug2010 [35] aug2010,fix [35] fix,race [33] lazettabraxton,#finserv [18] race,pro Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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