The graph represents a network of 2,275 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, 30 June 2019 at 10:34 UTC.
The requested start date was Sunday, 30 June 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, 19-hour, 45-minute period from Monday, 17 June 2019 at 15:05 UTC to Friday, 28 June 2019 at 10:50 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 : 2275
Unique Edges : 4018
Edges With Duplicates : 4580
Total Edges : 8598
Number of Edge Types : 3
Mentions : 7351
Tweet : 1232
Replies to : 15
Self-Loops : 1232
Reciprocated Vertex Pair Ratio : 0.0350723366944323
Reciprocated Edge Ratio : 0.0677678949597628
Connected Components : 176
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 1866
Maximum Edges in a Connected Component : 8032
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.838874
Graph Density : 0.00091275479138276
Modularity : 0.388328
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1204] gt,gt [956] #fintech,#finserv [501] #banking,#fintech [462] #banking,#finserv [446] #fintech,#banking [371] #vc,#fintech [306] #finserv,#banking [282] #finserv,#cryptocurrency [251] #cryptocurrency,#finance [211] #finance,#banks Top Word Pairs in Tweet in G1:
[528] #fintech,#finserv [380] #banking,#fintech [358] #banking,#finserv [356] #fintech,#banking [327] #vc,#fintech [249] #finserv,#cryptocurrency [225] #cryptocurrency,#finance [202] #finserv,#banking [192] #finance,#banks [155] #finserv,https Top Word Pairs in Tweet in G2:
[510] gt,gt [135] #fintech,#finserv [83] #tech,#fintech [79] #finserv,#ai [78] mikequindazzi,gt [74] #machinelearning,#ml [74] #ai,#insurtech [73] #insurtech,#machinelearning [68] #ml,#insurance [66] #insurance,#cx Top Word Pairs in Tweet in G3:
[269] gt,gt [52] link,gt [50] mikequindazzi,gt [45] #fintech,#finserv [43] financial,services [40] #banking,#finserv [40] award,#regtech [35] artificial,intelligence [34] #fintech,#banking [33] gt,everestgroup Top Word Pairs in Tweet in G4:
[188] gt,gt [43] find,out [39] mikequindazzi,gt [31] #disruption,#finserv [28] gt,#fintech [26] transforming,world [26] world,#finserv [26] gt,wef [26] wef,mikequindazzi [25] wef,ft Top Word Pairs in Tweet in G5:
[38] gt,gt [20] #iot,#internetofthings [18] read,more [17] #fintech,glossary [17] glossary,#infographics [17] #infographics,marketdataapis [17] marketdataapis,#api [17] #api,#cloud [17] #cloud,#cryptocurrency [17] #cryptocurrency,#iot Top Word Pairs in Tweet in G6:
[51] #fintech,#finserv [21] #finserv,#banking [15] talent,route [13] #cx,#fintech [13] #lhoft,ceo [13] ceo,naszub [12] gt,gt [11] #lhoft,member [11] member,tokenysolutions [11] #banking,#fintech Top Word Pairs in Tweet in G7:
[42] gt,gt [16] #bank,#finserv [11] #fintech,#finserv [7] mikequindazzi,gt [6] #finserv,#fintech [6] financial,services [6] even,bother [6] bother,saving [6] saving,already [6] already,know Top Word Pairs in Tweet in G8:
[31] #fintech,#finserv [12] 3,years [11] #finserv,#digitalbanking [8] 1,7 [8] catalyst,fund [7] #finserv,#financialinclusion [7] banking,industry [6] #communitybanks,#creditunions [5] #accelerators,help [5] bfaglobal,report Top Word Pairs in Tweet in G9:
[18] according,recent [18] recent,gartner_inc [18] gartner_inc,report [18] report,opportunities [18] opportunities,#finserv [18] #finserv,look [18] look,beyond [18] beyond,traditional [18] traditional,uses [18] uses,#rpa Top Word Pairs in Tweet in G10:
[15] #banking,very [15] very,ripe [15] ripe,change [15] change,#artificialintelligence [15] #artificialintelligence,presents [15] presents,near [15] near,450 [15] 450,billion [15] billion,opportunity [15] opportunity,#banks' Top Replied-To in Entire Graph:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: