The graph represents a network of 2,206 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 Monday, 08 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 9-day, 20-hour, 44-minute period from Thursday, 27 June 2019 at 03:06 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 : 2206
Unique Edges : 3942
Edges With Duplicates : 4254
Total Edges : 8196
Number of Edge Types : 3
Mentions : 6899
Tweet : 1285
Replies to : 12
Self-Loops : 1285
Reciprocated Vertex Pair Ratio : 0.0267573696145125
Reciprocated Edge Ratio : 0.0521201413427562
Connected Components : 208
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 1821
Maximum Edges in a Connected Component : 7687
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.729039
Graph Density : 0.000930877035008624
Modularity : 0.385117
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1093] #fintech,#finserv [804] gt,gt [406] #banking,#fintech [399] #banking,#finserv [382] #fintech,#banking [331] #vc,#fintech [297] #finserv,#banking [237] bristowcolin,insurtechforum [233] artificial,intelligence [216] #finserv,#ai Top Word Pairs in Tweet in G1:
[611] gt,gt [440] #fintech,#finserv [229] bristowcolin,insurtechforum [207] #tech,#fintech [197] #ai,#insurtech [195] #finserv,#ai [189] #insurtech,#machinelearning [185] #machinelearning,#ml [176] #ml,#insurance [174] #insurance,#cx Top Word Pairs in Tweet in G2:
[286] #fintech,#finserv [180] #finserv,#banking [134] #banking,#fintech [44] https,t [43] t,co [38] #finserv,âž [38] âž,ï [37] #finserv,#fintech [35] #payments,#paytech [35] ï,https Top Word Pairs in Tweet in G3:
[121] #banking,#fintech [116] #fintech,#finserv [42] end,fintech [42] fintech,another [42] another,read [42] read,article [42] article,chris_skinner [36] chris_skinner,#banking [35] jimmarous,end [30] read,more Top Word Pairs in Tweet in G4:
[122] https,t [120] t,co [91] #fintech,#finserv [83] #finserv,âž [83] âž,ï [76] ï,https [47] #finserv,https [30] artificial,intelligence [23] cgledhill,#finserv [18] #banking,#fintech Top Word Pairs in Tweet in G5:
[72] gt,gt [49] #fintech,#finserv [27] find,out [22] #banking,#fintech [22] financial,services [14] #finserv,industry [14] #cbipwc,q2 [14] services,survey [13] #finserv,#banking [13] mikequindazzi,gt Top Word Pairs in Tweet in G6:
[96] artificial,intelligence [94] intelligence,near [94] near,450 [94] 450,billion [94] billion,opportunity [94] opportunity,#banking [94] #banking,here [94] here,strategies [94] strategies,winning [94] winning,banks Top Word Pairs in Tweet in G7:
[251] #fintech,#banking [248] #vc,#fintech [243] #banking,#finserv [167] #finserv,#cryptocurrency [150] #cryptocurrency,#finance [119] #finance,#banks [90] #banks,#blockchain [49] #regtech,#insurtech [49] #blockchain,#regtech [47] #insurtech,mikequindazzi Top Word Pairs in Tweet in G8:
[52] gt,gt [46] #facialrecognition,fast [46] fast,becoming [46] becoming,mainstream [46] mainstream,#china [46] #china,spirosmargaris [46] spirosmargaris,#ai [46] #ai,#ml [46] #ml,#dl [46] #dl,#digitaltransformation Top Word Pairs in Tweet in G9:
[30] financial,services [26] find,out [22] q2,2019 [17] three,key [17] key,themes [17] themes,impacting [17] impacting,financial [17] services,q2 [17] 2019,mean [17] mean,business Top Word Pairs in Tweet in G10:
[26] #lhoft,member [19] member,tokenysolutions [17] the_lhoft,#lhoft [15] #fintech,#finserv [13] leading,pan [13] pan,european [13] european,exchange [13] exchange,eurozone [13] eurozone,euronext [13] euronext,invests 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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