The graph represents a network of 1,921 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, 12 April 2020 at 02:51 UTC.
The requested start date was Sunday, 12 April 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 8-day, 1-hour, 50-minute period from Friday, 03 April 2020 at 21:54 UTC to Saturday, 11 April 2020 at 23:45 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 : 1921
Unique Edges : 4339
Edges With Duplicates : 4133
Total Edges : 8472
Number of Edge Types : 4
MentionsInRetweet : 6179
Mentions : 1248
Tweet : 987
Replies to : 58
Self-Loops : 987
Reciprocated Vertex Pair Ratio : 0.0262367314239936
Reciprocated Edge Ratio : 0.0511319281811085
Connected Components : 134
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 1720
Maximum Edges in a Connected Component : 8210
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.252772
Graph Density : 0.00138925039042166
Modularity : 0.386842
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 1,921 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, 12 April 2020 at 02:51 UTC.
The requested start date was Sunday, 12 April 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 8-day, 1-hour, 50-minute period from Friday, 03 April 2020 at 21:54 UTC to Saturday, 11 April 2020 at 23:45 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 Entire Graph:
[1358] gt,gt [781] #fintech,#finserv [286] #fintech,#insurtech [246] #insurtech,#startup [239] #ai,#iot [238] mikequindazzi,gt [222] #finserv,#fintech [215] financial,services [189] #startup,#innovation [182] link,gt Top Word Pairs in Tweet in G1:
[319] #fintech,#finserv [132] gt,gt [123] #fintech,#banking [89] #finserv,#ai [89] #insurtech,#startup [87] #fintech,#insurtech [83] #vc,#fintech [81] #banking,#finserv [72] #startup,#innovation [71] covid,19 Top Word Pairs in Tweet in G2:
[174] #fintech,#finserv [127] gt,gt [106] gt,enricomolinari [87] #ai,#iot [84] ty,wef [80] enricomolinari,#fintech [75] wef,enricomolinari [70] enricomolinari,#ai [63] enricomolinari,#smartcities [60] #smartcities,#ai Top Word Pairs in Tweet in G3:
[144] #fintech,#finserv [79] well,done [61] #finserv,#banking [45] covid,19 [45] regtech,top [45] top,100 [44] week's,regtech [44] 100,planetcomplianc [42] financial,services [36] top,50 Top Word Pairs in Tweet in G4:
[985] gt,gt [177] mikequindazzi,gt [132] link,gt [127] antgrasso,fintech [103] financial,services [95] gt,#pwc [95] #pwc,mikequindazzi [95] artificial,intelligence [73] #finserv,#fintech [72] #fintech,#finserv Top Word Pairs in Tweet in G5:
[140] #fintech,#insurtech [116] #insurtech,#startup [87] #startup,#innovation [41] #innovation,#finserv [34] #ai,#ml [31] #ml,#fintech [30] #fintech,#finserv [15] #insurance,#startup [14] #insurtech,#insurance [13] #innovation,#fintech Top Word Pairs in Tweet in G6:
[69] #ai,#iot [64] gt,gt [49] #ar,vr [49] vr,laptop [49] laptop,zspace [49] zspace,changing [49] changing,way [49] way,study [49] study,learn [49] learn,realtechmatters Top Word Pairs in Tweet in G7:
[29] gt,gt [13] #fintech,#finserv [13] #finserv_2020,04 [13] 04,04_19 [13] 04_19,48 [13] 48,00 [13] 00,xlsx [13] xlsx,#finserv [6] jimmarous,increasing [6] increasing,need Top Word Pairs in Tweet in G8:
[41] co,author [41] author,theaibook [41] theaibook,published [37] happy,share [35] published,wiley_finance [35] wiley_finance,april [27] share,good [27] good,news [26] news,co [13] globally,crowdsourced Top Word Pairs in Tweet in G9:
[9] coronabonds,one [9] one,many [9] many,ideas [9] ideas,protect [9] protect,european [9] european,economy [9] economy,crisis [9] crisis,luxembourg [9] luxembourg,minister [9] minister,key Top Word Pairs in Tweet in G10:
[12] moving,needle [12] needle,refreshed [12] refreshed,strategy [12] pressing,needs [11] innovation,helps [11] helps,technology [11] technology,speak [11] speak,ours [11] ours,transforming [11] transforming,#finserv Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G8:
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:
Top Tweeters in G3:
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: