The graph represents a network of 2,540 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 June 2020 at 02:51 UTC.
The requested start date was Sunday, 07 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 10-day, 10-hour, 2-minute period from Wednesday, 27 May 2020 at 13:52 UTC to Saturday, 06 June 2020 at 23:55 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 : 2540
Unique Edges : 3639
Edges With Duplicates : 9804
Total Edges : 13443
Number of Edge Types : 5
Retweet : 3565
MentionsInRetweet : 6349
Mentions : 2840
Tweet : 618
Replies to : 71
Self-Loops : 736
Reciprocated Vertex Pair Ratio : 0.04152418172936
Reciprocated Edge Ratio : 0.0797373358348968
Connected Components : 142
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 2260
Maximum Edges in a Connected Component : 13036
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.528798
Graph Density : 0.000991772444356232
Modularity : 0.338302
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,540 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 June 2020 at 02:51 UTC.
The requested start date was Sunday, 07 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 10-day, 10-hour, 2-minute period from Wednesday, 27 May 2020 at 13:52 UTC to Saturday, 06 June 2020 at 23:55 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:
[389] ty,wef [258] wef,enricomolinari [91] enricomolinari,#fintech [88] great,cheaper [87] cheaper,safer [85] safer,smaller [75] turbines,produce [74] produce,10 [71] 10,times [70] times,more Top Word Pairs in Tweet in G3:
[215] gt,gt [211] financial,services [71] link,gt [62] use,cases [62] products,services [62] mikequindazzi,gt [62] antgrasso,banks [62] open,banking [62] gt,#fintech [62] 30,#blockchain Top Word Pairs in Tweet in G4:
[815] #fintech,#finserv [186] well,done [169] #finserv,#banking [163] planet,compliance [127] compliance,top [126] top,50 [116] 50,regtech [113] regtech,influencers [102] #regtech,#fintech [87] planetcomplianc,#regtech Top Word Pairs in Tweet in G5:
[102] enricomolinari,congrats [69] congrats,#top10 [45] #top10,global [44] global,#fintech [44] #fintech,influencer [44] influencer,nodexl [44] nodexl,nodexl_mktng [43] nodexl_mktng,marc_smith [42] marc_smith,smr_foundation [41] #finserv,nodexl Top Word Pairs in Tweet in G6:
[101] #fintech,#banking [100] #fintech,#finserv [100] #finserv,#ai [100] #innovation,#fintech [100] #business,#devops [100] #devops,#fintech [100] #ai,#algorithms [100] #banking,#digitalbanking [100] #algorithms,#digitaltransformation [2] #digitaltransformation,#digital Top Word Pairs in Tweet in G7:
[93] #fintech,#finserv [91] #finserv,#banking [83] gt,gt [82] financialbrand,spirosmargaris [70] rshevlin,ipfconline1 [70] ipfconline1,deeplearn007 [66] deeplearn007,psb_dc [47] psb_dc,#digitaltransformation [44] #digitaltransformation,#fintech [33] deeplearn007,jimmarous Top Word Pairs in Tweet in G8:
[19] #defstar5,#makeyourownlane [13] #productive,#digitalmarketing [12] #digitalmarketing,#growthhacking [11] #growthhacking,#startup [11] #startup,#mpgvip [11] #mpgvip,#defstar5 [11] #makeyourownlane,#seo [11] #seo,#marketing [11] andreapaci90,#productive [8] gt,gt Top Word Pairs in Tweet in G9:
[48] #covid,19 [47] #finserv,#banking [47] realigning,#bank [47] #bank,branch [47] branch,normal [47] normal,#analytics [47] #analytics,#covid [47] 19,#wfh [46] #wfh,#finserv [46] #banking,#branchtransformation Top Word Pairs in Tweet in G10:
[20] geopolitical,landscape [18] landscape,global [17] global,opportunities [17] opportunities,seize [17] #fintech,#finserv [17] top,stories [17] #lhoft,member [17] seize,#covid19 [17] #covid19,join [12] join,robertodeprimis Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: