The graph represents a network of 2,201 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, 05 July 2020 at 02:54 UTC.
The requested start date was Sunday, 05 July 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 7-day, 12-hour, 36-minute period from Friday, 26 June 2020 at 18:21 UTC to Saturday, 04 July 2020 at 06:57 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 : 2201
Unique Edges : 3168
Edges With Duplicates : 10281
Total Edges : 13449
Number of Edge Types : 5
Mentions : 2569
MentionsInRetweet : 6458
Retweet : 3818
Replies to : 46
Tweet : 558
Self-Loops : 739
Reciprocated Vertex Pair Ratio : 0.0460199004975124
Reciprocated Edge Ratio : 0.0879904875148633
Connected Components : 149
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 1952
Maximum Edges in a Connected Component : 13087
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.468982
Graph Density : 0.00121576969146256
Modularity : 0.300298
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 2,201 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, 05 July 2020 at 02:54 UTC.
The requested start date was Sunday, 05 July 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 7-day, 12-hour, 36-minute period from Friday, 26 June 2020 at 18:21 UTC to Saturday, 04 July 2020 at 06:57 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:
[829] #fintech,#finserv [411] enricomolinari,#fintech [376] ty,howmuch_net [376] howmuch_net,enricomolinari [292] #fintech,#wealth [288] #wealth,#ai [284] #finserv,#banking [237] #banking,#fintech [172] link,gt [167] #data,#finserv Top Word Pairs in Tweet in G1:
[402] #fintech,#finserv [202] #banking,#fintech [131] #finserv,#banking [91] #banking,#finserv [88] covid,19 [74] enricomolinari,#fintech [74] ty,mt [73] honored,reached [73] reached,100'000 [73] 100'000,twitter Top Word Pairs in Tweet in G2:
[281] enricomolinari,#fintech [267] ty,howmuch_net [267] howmuch_net,enricomolinari [209] #fintech,#wealth [205] #wealth,#ai [124] #data,#finserv [99] #ai,#tech [96] #tech,#data [81] run,entirely [81] entirely,#robots Top Word Pairs in Tweet in G3:
[138] customer,journey [138] journey,mapping [136] link,gt [130] antgrasso,customer [116] gt,gt [111] #digitalmarketing,#growthhacking [111] #growthhacking,#startup [111] #startup,#mpgvip [111] #mpgvip,#defstar5 [111] #defstar5,#makeyourownlane Top Word Pairs in Tweet in G4:
[159] #fintech,#finserv [110] #finserv,#banking [63] #fintech,#banking [60] #finserv,#ai [53] #business,#devops [53] #devops,#fintech [43] #ai,#algorithms [39] #innovation,#fintech [38] #banking,#digitalbanking [31] #algorithms,#digitaltransformation Top Word Pairs in Tweet in G5:
[68] #fintech,#finserv [53] well,done [41] planetcomplianc,#regtech [41] #regtech,#fintech [36] #finserv,#regulation [35] planet,compliance [35] compliance,top [35] top,50 [35] 50,regtech [35] regtech,influencers Top Word Pairs in Tweet in G6:
[15] #fintech,#finserv [10] cdw,knows [10] knows,takes [10] takes,roll [10] roll,vdi [10] vdi,fast [10] fast,accurately [10] accurately,ourselves [10] ourselves,dm [10] dm,see Top Word Pairs in Tweet in G7:
[18] #finserv,orgs [18] #finserv,#cdwsocial [12] remote,online [12] online,notarization [12] notarization,emerging [12] emerging,service [12] service,#finserv [12] orgs,use [12] use,process [12] process,important Top Word Pairs in Tweet in G8:
[47] #deeplearning,#machinelearning [47] #machinelearning,#computervision [47] #computervision,#artificialintelligence [47] #artificialintelligence,#technology [47] #technology,#innovation [47] #innovation,#ml [37] #iot,#bigdata [33] #analytics,#datascience [32] #datascience,#cybersecurity [31] #finserv,#stem Top Word Pairs in Tweet in G9:
[19] #dtcc's,stephen [19] stephen,scharf [19] scharf,writes [19] writes,need [19] need,develop [19] develop,industry [19] industry,wide [19] wide,standards [19] standards,#dlt [19] #dlt,security Top Word Pairs in Tweet in G10:
[34] #findom,#bdsm [23] #finslave,#moneyslave [20] #finansalköle,#mistress [19] #mistress,#sahibe [19] #finsup,#finserv [19] #finserv,#footfetish [18] morniiinnggg,#findom [18] #bdsm,#finslave [18] #moneyslave,#finansalköle [18] #sahibe,#finsup 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 G5:
Top Replied-To in G7:
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: