The graph represents a network of 2,177 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 Tuesday, 28 April 2020 at 02:51 UTC.
The requested start date was Sunday, 26 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 6-day, 9-hour, 58-minute period from Sunday, 19 April 2020 at 14:02 UTC to Sunday, 26 April 2020 at 00:00 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 : 2177
Unique Edges : 3355
Edges With Duplicates : 9757
Total Edges : 13112
Number of Edge Types : 5
Retweet : 3817
MentionsInRetweet : 7275
Mentions : 1188
Tweet : 786
Replies to : 46
Self-Loops : 1086
Reciprocated Vertex Pair Ratio : 0.0252072407376078
Reciprocated Edge Ratio : 0.0491749174917492
Connected Components : 131
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 1962
Maximum Edges in a Connected Component : 12795
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.316227
Graph Density : 0.00127924964197898
Modularity : 0.314434
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 2,177 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 Tuesday, 28 April 2020 at 02:51 UTC.
The requested start date was Sunday, 26 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 6-day, 9-hour, 58-minute period from Sunday, 19 April 2020 at 14:02 UTC to Sunday, 26 April 2020 at 00:00 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:
[2199] gt,gt [830] #fintech,#finserv [327] mikequindazzi,gt [301] #vc,#fintech [256] #ai,#iot [248] financial,services [227] #finserv,#finance [213] link,gt [211] #finserv,#banking [196] #fintech,#digitalbanking Top Word Pairs in Tweet in G1:
[1818] gt,gt [267] mikequindazzi,gt [193] link,gt [176] financial,services [153] gt,#pwc [143] artificial,intelligence [139] #ai,#iot [127] #pwc,mikequindazzi [125] #finserv,gt [125] use,cases Top Word Pairs in Tweet in G2:
[105] gt,gt [94] nature,inspired [94] inspired,wind [94] wind,turbine [94] turbine,designed [94] designed,tree [94] tree,generate [94] generate,#sustainable [94] #sustainable,electricity [94] ty,realtechmatters Top Word Pairs in Tweet in G3:
[401] #fintech,#finserv [259] #vc,#fintech [200] #finserv,#finance [169] #finance,#banks [167] gt,gt [109] #banks,#blockchain [107] #tech,#fintech [107] #innovation,#finserv [104] #ai,#tech [102] #fintech,#regtech Top Word Pairs in Tweet in G4:
[134] #fintech,#finserv [103] #finserv,#banking [81] gt,gt [68] well,done [48] week's,regtech [48] regtech,top [48] top,100 [48] 100,planetcomplianc [41] covid,19 [29] financial,services Top Word Pairs in Tweet in G5:
[21] gt,gt [19] #finserv_2020,04 [19] 04,18_19 [19] 18_19,50 [19] 50,22 [19] 22,xlsx [19] xlsx,#finserv [12] #fintech,#finserv [8] financial,services [6] #banking,#finserv Top Word Pairs in Tweet in G6:
[33] well,done [33] planet,compliance [33] compliance,top [33] top,50 [33] 50,regtech [32] regtech,influencers [22] week's,planet [11] done,climbed [11] places,planet [9] climbed,places Top Word Pairs in Tweet in G7:
[136] #fintech,#finserv [57] #finserv,#banking [31] #ai,#ml [31] #ml,#dl [26] #dl,#fintech [23] artificial,intelligence [23] #machinelearning,#deeplearning [20] #artificialintelligence,#machinelearning [17] #deeplearning,#fintech [15] open,banking Top Word Pairs in Tweet in G8:
[21] #fintech,#finserv [20] #blockchain,#digitaltransformation [20] #digitaltransformation,#ai [20] #ai,#fintech [20] #finserv,#bitcoin [20] #bitcoin,#crypto [18] alvinfoo,#blockchain [12] augmented,analytics [12] analytics,ai [12] ai,reshaping Top Word Pairs in Tweet in G9:
[17] rushdaverroes,ve [17] ve,made [17] made,life [17] life,work [17] work,put [17] put,end [17] end,financial [17] financial,exclusion [17] exclusion,connecting [17] connecting,people Top Word Pairs in Tweet in G10:
[6] familiar,broker [6] broker,protocol [6] protocol,#spsfamily's [6] #spsfamily's,matt [6] matt,vigo [6] vigo,vigomatthew [6] vigomatthew,shares [6] shares,facts [6] facts,faqs [6] faqs,read Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 G7:
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: