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Living Metrics captures the digital reach of a specific entity across a range of social media, measuring the quantity and quality of network relationships over time. In Part 2 of this series, we map the diffusion of the Geneva Global Goals Innovation Day @G3InnovDay on Twitter following the event.
OVERVIEW
The Geneva Global Goals Innovation Day (G3iD) was a 1-day co-creation and networking event held in Geneva on 24 March 2017. The purpose of the event, to promote widespread adoption of design-thinking on SDGs, and create a showcase for social innovation, won tremendous public support, locally and internationally. This report is designed to help G3iD participants expand their outreach and identify new, actionable project partners.
KEY FINDINGS
In the days following the event, @G3InnovDay cast 420 Twitter accounts or ‘nodes’ connected through Mentions and Reply links. This is a 44% increase on 291 Twitter nodes from 20 March 2017. The overall growth in volume also had effect on the quality of conversations, with more entities citing specific SDGs. Other indicators remained unchanged from the pre-event reporting:
Conversation around 10% of the Influencer nodes comprises 62% of total links
Citation of specific SDGs increased in conversations, namely SDG no.2, no.13, no.14 and no.17
#Connect2Effect, The Port Association, Humanitarian Lab, ITC Innovation Lab, and GenevaImpact remain the most active organisations
Vivian Marcelino joins Paul Bristow and Adriana de Oro as the most active individuals
Diffusion of the official hashtag #G3ID grew by factor x3 in the days after the event
Several G3iD participants helped amplify the #G3iD hashtag, namely Daniel Dobos, Adam Rogers and WBCSD
Analysis of the @G3InnovDay post-event network
The post-event network, where 10% of the largest influencer nodes comprise 62% of the total links is almost identical to the pre-event network. Vivian Marcelino, Co-founder of the G3iD network and ITC Consultant, joins the top-10. The main hubs forming the centre of the event network, with the highest frequency of Follow, Mention and Reply links for @G3InnovDay are:
1. Connect2Effect
2. Humanitarian Lab
3. The Port Association
4. ITC Innovation Lab
5. ILO
6. Vivian Marcelino
7. International Geneva
8. Paul Bristow
9. Adriana de Oro
10. Changemaker Lab
Navigate this network by dragging the nodes and open their descriptions by clicking on them.
Data-sets powered by Living Nethos. Click here to access the full G3iD Network Intelligence map for 30-days.
Analysis of the #G3iD post-event network
Diffusion of the hashtag #G3iD is significantly higher when compared to usage of @G3InnovDay across all nodes. For instance, the number of active accounts using #G3iD tripled from 738 Mentions and Replies in the pre-event analysis, reaching 2’448 post-event. The expansion of Influencers beyond the core group also reveals a decentralization of the entire network, at 14% for the #G3iD versus 10% for @G3InnovDay.
Several new Influencers are shown to lead diffusion of the #G3iD hashtag both during and post-event, namely UNITAR, Global Goals UN, and Impact Hub:
1. G3InnovDay
2. ILO
3. The Port Association
4. Humanitarian Lab
5. G3iD
6. UNITAR
7. ITC Innovation Lab
8. Global Goals UN
9. Impact Hub Geneva
10. ITC News
Navigate this network by dragging the nodes and open their descriptions by clicking on them.
Data-sets powered by Living Nethos. Click here to access the full G3iD Network Intelligence map for 30-days.
What are @G3InnovDay followers mentioning post-event?
From the 420 followers of the @G3InnovDay account 2’055 posts appear from the hours prior to the event up to March 29. Of these, 60% of Mentions are about the event itself. For the remainder, 38% refer to SDGs in general terms with 2% referring to a particular SDG. As such, the presence of posts on specific SDGs is richer in the post-event network, where 8 of the 17 SDGs are present.
It is interesting to observe the emergence of a new Influencer in the post-event conversations. Daniel Dobos, CERN physicist and participant of the G3iD event, published 163 posts with a reach of 582 accounts. Of those posts 83% referred to the event itself and 16% to SDGs in general terms.
G3iD Tag Cloud

What are they mentioning besides the #G3ID?
The semantic analysis shows a greater variety of specific hashtags of SDGs in relation to the pre-event network. For example SDG2, SDG6, SDG13 and SDG17 appear in 52% of posts mentioning specific SDGs. Despite this variation, the non-specific hashtag #SDG and the official hashtag of the event #G3iD are the most prevalent mentions for the post-event network.
As with the @G3InnovDay network analysis, several new Influencers emerge from the #G3iD network analysis. Interestingly, Daniel Dobos, Adam Rogers and WBCSD led overall volume of posts as participants of the G3iD event. This is to say entities outside the pool of sponsors and official partners having significant Twitter reach helped amplify the #G3ID hashtag to become a Trending Topic.
1. Daniel Dobos
2. Adam Rogers
3. WBCSD
4. UN
110 Posts = Reach 402
36 Posts = Reach 83
28 Posts = Reach 227
15 Posts = Reach 3’770
Who are the Top Infuencers?
Tables below show the top-10 rankings accounting for three types of Network Influence, namely: Inbound Influence, Outbound Influence, and Delta Influence.
Several organisations are constant in the top-10 for Network Influence, including #Connect2Effect, The Port Association, Humanitarian Lab, ITC Innovation Lab, and GenevaImpact. Aside from organisations, several personal accounts appear within the top-10, with Vivian Marcelino joining Paul Bristow and Adriana de Oro as lead Influencers.
Minor variations appear for each Influencer category, indicating different modes of content sharing.
INBOUND INFLUENCE
- TOTAL TWEETS W/ MENTION
- INBOUND TWEETS W/ MENTION
- TOTAL TWEETS W/ MENTION
- INBOUND TWEETS W/ MENTION
Ordered by Inbound Influence: Ranks the total ‘Inbound’ mentions for each node. May be interpreted as indicator of ‘Credibility’ and ‘Authority’ within this network.
OUTBOUND INFLUENCE
- TOTAL TWEETS W/ MENTION
- OUTBOUND TWEETS W/ MENTION
- TOTAL TWEETS W/ MENTION
- OUTBOUND TWEETS W/ MENTION
Ordered by Outbound Influence: Ranks the total ‘Outbound’ mentions for each node. Depending on the context this can be understood as an indicator of ‘Spamming’ or high ‘Reachability’.
DELTA INFLUENCE
- TOTAL TWEETS W/ MENTION
- DELTA INBOUND/OUTBOUND TWEETS
- TOTAL TWEETS W/ MENTION
- DELTA INBOUND/OUTBOUND TWEETS
Ordered by Delta Influence: Measures the balance between ‘Inbound’ and ‘Outbound’ Influence for each node. A high-positive Delta ranking shows strong correlation between volume of Tweets and original content.
Within this category several new entries join the top-10 rankings, namely ILO which seizes the top posiiton, Université de Genève, SDSN and SDSN Youth. While these nodes rank lower for total posts with mentions of @G3InnovDay their strong Delta ranking indicates high volume of original Tweets and low volume of RTs.
The viral cascade of the #G3ID.
From a network intelligence perspective, hashtags are the contemporary memes that help track the propagation of a specific concept, i.e. #G3iD. Hashtag usage also helps visualise the transmission of concepts across networks, like a social virus, via the spreading of Mentions and RTs of the event and the related concepts.
The geographic distribution of the @G3InnovDay followers offers a view of regional hubs, which, if expanded from this base, can migrate over time to reach new territories. As of 29 March 2017, this network showed a high concentration of nodes in Switzerland (48%) followed by United States (14%) and United Kingdom (12%).
GEOGRAPHIC DISTRIBUTION OF NODES
- 48% Switzerland
- 14% United States
- 12% United Kingdom
- 9% Global
- 5% France
- 4% Canada
- 2% Netherlands
- 2% South Africa
- 2% Nigeria
- 2% Germany
- 48% Switzerland
- 14% United States
- 12% United Kingdom
- 9% Global
- 5% France
- 4% Canada
- 2% Netherlands
- 2% South Africa
- 2% Nigeria
- 2% Germany