The graph represents a network of 2,148 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, 06 September 2020 at 23:26 UTC.
The requested start date was Sunday, 06 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 7-day, 23-hour, 41-minute period from Saturday, 29 August 2020 at 00:07 UTC to Saturday, 05 September 2020 at 23:49 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 : 2148
Unique Edges : 3320
Edges With Duplicates : 9227
Total Edges : 12547
Number of Edge Types : 5
Retweet : 3362
MentionsInRetweet : 5688
Mentions : 2958
Tweet : 481
Replies to : 58
Self-Loops : 615
Reciprocated Vertex Pair Ratio : 0.0550692924872356
Reciprocated Edge Ratio : 0.104389906671275
Connected Components : 113
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 1950
Maximum Edges in a Connected Component : 12198
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.453126
Graph Density : 0.00125461971535354
Modularity : 0.285343
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,148 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, 06 September 2020 at 23:26 UTC.
The requested start date was Sunday, 06 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 7-day, 23-hour, 41-minute period from Saturday, 29 August 2020 at 00:07 UTC to Saturday, 05 September 2020 at 23:49 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:
[916] #fintech,#finserv [332] financial,services [280] #finserv,#banking [201] #finserv,#fintech [182] #banking,#fintech [154] #finserv,#ai [128] gt,gt [127] #finserv,#paytech [125] well,done [125] #ai,#iot Top Word Pairs in Tweet in G1:
[420] #fintech,#finserv [198] #finserv,#banking [132] #banking,#fintech [79] #finserv,#fintech [68] spirosmargaris,banks [58] #paytech,#marketing [57] banks,advanced [57] advanced,#openbanking [57] #openbanking,models [56] models,#fintech Top Word Pairs in Tweet in G2:
[105] #fintech,#finserv [57] #ai,#iot [49] #finserv,#paytech [48] ty,wef [35] #finserv,#fintech [32] #fintech,#marketing [31] #iot,#finserv [27] #marketing,#ai [24] 101blockchains,enricomolinari [22] enricomolinari,#fintech Top Word Pairs in Tweet in G3:
[104] #fintech,#finserv [74] gt,gt [69] well,done [56] week's,regtech [56] regtech,top [56] top,100 [56] 100,planetcomplianc [41] planetcomplianc,#regtech [41] #regtech,#fintech [39] forbes,#finserv Top Word Pairs in Tweet in G4:
[160] financial,services [81] one,biggest [81] biggest,game [81] game,changers [81] changers,insurers [81] insurers,next [81] next,future [81] future,ai [81] ai,concepts [81] concepts,approaches Top Word Pairs in Tweet in G5:
[69] #fintech,#finserv [53] well,done [53] planet,compliance [53] compliance,top [53] top,50 [53] 50,regtech [53] regtech,influencers [52] planetcomplianc,#regtech [52] #regtech,#fintech [43] influencers,planetcomplianc Top Word Pairs in Tweet in G6:
[89] #fintech,#finserv [64] #finserv,#ai [57] #business,#devops [57] #devops,#fintech [51] #ai,#algorithms [50] #fintech,#banking [43] #algorithms,#digitaltransformation [43] #innovation,#fintech [30] #digitaltransformation,#digital [30] #digital,revolution Top Word Pairs in Tweet in G7:
[39] #fintech,#finserv [15] #regulation,#regtech [15] #banking,#fintech [13] #finserv,#banking [12] best,time [10] #cx,#ux [9] #digital,#banking [8] #bigtech,transform [8] transform,#finserv [8] #finserv,finance Top Word Pairs in Tweet in G8:
[32] #fintech,#finserv [15] deeplearn007,enricomolinari [9] deeplearn007,spirosmargaris [8] financial,services [7] #finserv,#fintech [6] enricomolinari,#fintech [6] aghiathchbib,ipfconline1 [6] ipfconline1,pierrepinna [5] #finserv,#finance [5] #finserv,#banking Top Word Pairs in Tweet in G9:
[11] #finserv,industry [10] #finserv,#fintech [9] #banking,#finserv [8] series,deloitte [8] join,hpcwire [8] hpcwire,datanami [8] datanami,enterpriseai_ [8] enterpriseai_,hpc [8] hpc,ai [8] ai,wall Top Word Pairs in Tweet in G10:
[21] #fintech,#finserv [11] group,director [11] host,bizwithchloe [11] bizwithchloe,group [10] director,media [10] media,rfigroup [9] #banking,#fintech [9] rfigroup,ledaglyptis [8] reading,jpnicols [8] jpnicols,newsfeed Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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: