The graph represents a network of 2,490 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, 19 July 2020 at 03:01 UTC.
The requested start date was Sunday, 19 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 10-day, 7-hour, 43-minute period from Wednesday, 08 July 2020 at 16:01 UTC to Saturday, 18 July 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 : 2490
Unique Edges : 3543
Edges With Duplicates : 9705
Total Edges : 13248
Number of Edge Types : 5
Mentions : 2709
Retweet : 3476
MentionsInRetweet : 6219
Tweet : 777
Replies to : 67
Self-Loops : 893
Reciprocated Vertex Pair Ratio : 0.0425960087204427
Reciprocated Edge Ratio : 0.0817114363841081
Connected Components : 202
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 2107
Maximum Edges in a Connected Component : 12473
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.681332
Graph Density : 0.00100312862538946
Modularity : 0.318881
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 2,490 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, 19 July 2020 at 03:01 UTC.
The requested start date was Sunday, 19 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 10-day, 7-hour, 43-minute period from Wednesday, 08 July 2020 at 16:01 UTC to Saturday, 18 July 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:
[978] #fintech,#finserv [391] financial,services [369] #finserv,#banking [307] gt,gt [180] link,gt [169] financial,institutions [158] enricomolinari,#fintech [149] #finserv,#fintech [147] #fintech,#banking [147] #finserv,#ai Top Word Pairs in Tweet in G1:
[362] #fintech,#finserv [116] #finserv,#banking [115] financial,services [69] #finserv,#ai [65] #business,#devops [65] #devops,#fintech [64] #finserv,#fintech [58] digital,transformation [54] financialbrand,spirosmargaris [53] decade,financialbrand Top Word Pairs in Tweet in G2:
[129] #fintech,#finserv [112] enricomolinari,#fintech [39] #finserv,#ai [33] congrats,#top50 [33] #womenintech,influencer [33] future,greater [33] greater,pink [33] pink,power [33] power,ty [33] ty,magazineawards Top Word Pairs in Tweet in G3:
[266] #fintech,#finserv [187] #finserv,#banking [40] #digitaltransformation,#fintech [39] financial,services [32] ty,mt [32] #finserv,#cryptocurrency [26] #digitalbanking,#fintech [24] #finserv,#fintech [23] #ai,#fintech [21] covid,19 Top Word Pairs in Tweet in G4:
[245] gt,gt [147] link,gt [100] financial,services [93] financial,institutions [86] banking,financial [86] services,deploying [86] deploying,smart [86] smart,contracts [86] contracts,managing [86] managing,standard Top Word Pairs in Tweet in G5:
[23] #fintech,#finserv [22] financial,services [13] gt,gt [9] #finserv,#banking [9] #finserv,#fintech [9] pwc,cbi [9] cbi,q2 [9] q2,2020 [9] 2020,financial [8] #finserv,#finance Top Word Pairs in Tweet in G6:
[62] financial,services [57] q2,2020 [53] services,survey [53] cbi,q2 [48] 2020,financial [38] pwc,cbi [36] #cbipwc,#finserv [31] pwc_uk,cbi [20] insurance,leader [19] role,pwc_uk Top Word Pairs in Tweet in G7:
[28] #fintech,#finserv [21] #cashapp,#paypal [21] #paypal,#venmo [21] #venmo,credit [21] credit,karma [21] karma,downloaded [21] downloaded,more [21] more,times [21] times,rest [21] rest,#us Top Word Pairs in Tweet in G8:
[15] customers,turning [15] turning,more [15] more,more [15] more,virtual [15] virtual,assistants [15] assistants,chatbots [15] chatbots,help [15] help,banking [15] banking,needs [15] needs,cioonline Top Word Pairs in Tweet in G9:
[87] #digitalmarketing,#growthhacking [64] #mpgvip,#defstar5 [64] #defstar5,#makeyourownlane [61] #makeyourownlane,#seo [59] #growthhacking,#startup [59] #startup,#mpgvip [36] #infographic,#productivity [36] #productivity,#digitalmarketing [34] dylanca34906535,#infographic [29] #infographic,#digitalmarketing Top Word Pairs in Tweet in G10:
[22] #fintech,#finserv [7] #finserv,#fintech [6] live,streaming [6] streaming,#thebreakfastshow [6] #thebreakfastshow,linkedin [6] linkedin,alexreddish [6] alexreddish,cco [6] cco,tribepayments [6] tribepayments,speaking [5] fintechinsiders,live 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 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 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: