The graph represents a network of 2,223 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, 07 July 2019 at 10:34 UTC.
The requested start date was Sunday, 07 July 2019 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 10-day, 6-hour, 36-minute period from Wednesday, 26 June 2019 at 17:15 UTC to Saturday, 06 July 2019 at 23:51 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 : 2223
Unique Edges : 3952
Edges With Duplicates : 4317
Total Edges : 8269
Number of Edge Types : 3
Mentions : 6956
Tweet : 1301
Replies to : 12
Self-Loops : 1301
Reciprocated Vertex Pair Ratio : 0.0269291694953609
Reciprocated Edge Ratio : 0.0524460114587924
Connected Components : 215
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 1812
Maximum Edges in a Connected Component : 7729
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.732583
Graph Density : 0.000918715353316708
Modularity : 0.389982
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1112] #fintech,#finserv [791] gt,gt [424] #banking,#finserv [411] #banking,#fintech [405] #fintech,#banking [351] #vc,#fintech [297] #finserv,#banking [237] artificial,intelligence [236] #finserv,#cryptocurrency [236] bristowcolin,insurtechforum Top Word Pairs in Tweet in G1:
[382] #fintech,#finserv [237] #banking,#fintech [179] #finserv,#banking [69] read,article [69] article,chris_skinner [68] another,read [62] end,fintech [61] fintech,another [60] chris_skinner,#banking [51] jimmarous,end Top Word Pairs in Tweet in G2:
[578] gt,gt [453] #fintech,#finserv [222] bristowcolin,insurtechforum [212] #tech,#fintech [201] #ai,#insurtech [199] #finserv,#ai [193] #insurtech,#machinelearning [190] #machinelearning,#ml [178] #ml,#insurance [176] #insurance,#cx Top Word Pairs in Tweet in G4:
[116] https,t [114] t,co [82] #finserv,âž [82] âž,ï [75] ï,https [60] #fintech,#finserv [45] #finserv,https [26] artificial,intelligence [23] cgledhill,#finserv [16] #fintech,#insurtech Top Word Pairs in Tweet in G3:
[43] #fintech,#finserv [38] gt,gt [27] find,out [22] #banking,#fintech [22] financial,services [14] #finserv,industry [14] #cbipwc,q2 [14] services,survey [11] banking,#banking [10] learn,more Top Word Pairs in Tweet in G5:
[93] artificial,intelligence [90] intelligence,near [90] near,450 [90] 450,billion [90] billion,opportunity [90] opportunity,#banking [90] #banking,here [90] here,strategies [90] strategies,winning [90] winning,banks Top Word Pairs in Tweet in G6:
[30] #fintech,#finserv [30] financial,services [27] #financialservices,#banking [26] find,out [24] #banking,#fintech [22] #finserv,sbmeunier [22] q2,2019 [20] sbmeunier,leimer [19] leimer,jpnicols [17] jpnicols,rshevlin Top Word Pairs in Tweet in G7:
[25] read,more [22] #fintech,glossary [22] #iot,#internetofthings [21] glossary,#infographics [21] #infographics,marketdataapis [21] marketdataapis,#api [21] #api,#cloud [21] #cloud,#cryptocurrency [21] #cryptocurrency,#iot [18] ronald_vanloon,#fintech Top Word Pairs in Tweet in G8:
[42] #fintech,#finserv [25] #lhoft,member [19] member,tokenysolutions [16] the_lhoft,#lhoft [14] #cx,#fintech [13] leading,pan [13] pan,european [13] european,exchange [13] exchange,eurozone [13] eurozone,euronext Top Word Pairs in Tweet in G9:
[52] gt,gt [47] #facialrecognition,fast [47] fast,becoming [47] becoming,mainstream [47] mainstream,#china [47] #china,spirosmargaris [47] spirosmargaris,#ai [47] #ai,#ml [47] #ml,#dl [47] #dl,#digitaltransformation Top Word Pairs in Tweet in G10:
[254] #vc,#fintech [253] #fintech,#banking [244] #banking,#finserv [171] #finserv,#cryptocurrency [154] #cryptocurrency,#finance [124] #finance,#banks [95] #banks,#blockchain [54] #blockchain,#regtech [50] #regtech,#insurtech [49] #insurtech,mikequindazzi Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G4:
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Top Tweeters in G9:
Top Tweeters in G10: