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 1 of this series, we map the digital reach of the Geneva Global Goals Innovation Day @G3InnovDay on Twitter prior to the landmark 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
As of 20 March 2017, @G3InnovDay cast 291 Twitter accounts or ‘nodes’ connected through Mentions and Reply links. Indicators show the G3iD network as a thematically diverse group with general interest in the Sustainable Development Goals (SDGs). Screening of the top-100 Twitter Followers for @G3InnovDay offers key insights for developing SDG partnerships in this network:
Conversation around 10% of the Influencer nodes comprises 60% of total links
SDG no.2 and SDG no.17 are the most frequently cited among conversations
#Connect2Effect, The Port Association, Humanitarian Lab, ITC Innovation Lab, and GenevaImpact are the most active organisations
Paul Bristow, Adriana de Oro, and Corinne Grey are the most active individuals
Network demographics show 9 functional categories of organisations and people
For all categories 9% offer partners material support for implementing SDGs
Diffusion of the official hashtag #G3ID reached more Twitter accounts than @G3InnovDay
Analysis of the @G3InnovDay pre-event network

The network is very centralized in a few nodes, where 10% of the largest Influencer nodes comprise 60% of the total links. 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. The Port Association
3. Humanitarian Lab
4. ITC Innovation Lab
5. GenevaImpact
6. Paul Bristow
Navigate this network by dragging the nodes and open their descriptions by clicking on them.
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PROPORTION OF INFLUENCER CATEGORIES BY FUNCTIONALITY

  • 2% Accelerator
  • 7% Workhub
  • 10% Activist
  • 3% Conference
  • 28% Advocate
  • 17% Network
  • 8% Consultant
  • 13% Research
  • 11% Supporter
What are the functional roles of Influencers on the @G3InnovDay network?
Analysis of this network reveals nine categories of Influencers in the G3iD universe, based on a survey of the Top-100 entities mentioning @G3Innovday in the timespan of 1 March – 20 March 2017.
Each category is defined by group functionality, and listed in descending order by the potential to offer material support to project partners for implementing SDGs. As such, Accelerator appears first on the list, for high-material support, while Supporter ranks lowest, i.e. little or no material support.
Taken together, the Accelerator (2%) and Workhub (7%) categories account for 9% of the total network, implying modest material support for project partnerships as a whole. 
Navigate this network by dragging the nodes and open their descriptions by clicking on them. 
What are @G3InnovDay followers mentioning?
Of the 291 followers of the @G3InnovDay account, 65 entities tweeted using the event. This represents 18% of the total followers. Among the main replicators are: Connect2Effect, The Port Association, Humanitarian Lab, ITC and Paul Bristow.
By contrast, 108 beads (30% of total followers) tweeted on SDGs. This indicates that the online community in which G3InnovDay is inserted is very specific and revolves around a number of topics, including SDGs. Although the discussion was intense, it did not focus on any specific SDG, but on a general level, with the exceptions of SDG 2 and 17, which were partially mentioned by SDSN, UKSSD, Beyond CSR Net, Conneally, Cherry checkout and SDG Aruba.

G3iD Tag Cloud

What are they mentioning besides the #G3ID?
Semantic analysis on this network also shows greater use of hashtags for specific SDGs (differently from the followers network of @g3innovday that only mentioned the term SDG in general and the SDG#2 and SDG#17 in particular). For example, SDG2 was the most mentioned, 34% of the total mentions, followed by SDG 14 (19%), SDG 13 (16%) and SDG 7 (10%).
Interestingly identify influencers that with their digital reputation and reachability have contributed with the viralization of the event, but nevertheless are not part of the community of followers of @ G3InnovDay. Such is the case of the UN, Amina Mohammed (Secretary General of the UN) and Paul Polman (CEO of Unilever).
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, namely Corinne Grey, Paul Bristow and Adriana de Oro.
Minor variations appear for each Influencer category, indicating different modes of content sharing.

INBOUND INFLUENCE

  • 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
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
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 Geneva Impact, UN University and SDSN. 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 20 March 2017, this network showed a high concentration of nodes in Switzerland (48%) followed by Canada (14%) and United States (10%).

GEOGRAPHIC DISTRIBUTION OF NODES

  • 46% Switzerland
  • 14% Canada
  • 11% United States
  • 10% Global
  • 8% United Kingdom
  • 3% France
  • 2% Netherlands
  • 2% South Africa
  • 2% Nigeria
  • 2% Germany
A total of 139 accounts used #G3ID in the 90 days prior to the event. This represents almost twice the number of accounts that raised the issue within the community of followers of @G3InnovDay.
In addition, the activity between these accounts was intense, approximately 2’904 links between Follows, Mentions and Replies. The interconnectivity of this network is superior to the community of @G3InnovDay followers, showing 7.57% and an average connectivity of 10 links, as compared to 0.52% and an average connectivity of 2.

In Part II of this series we examine the tremendous growth of the @G3InnovDay community in the days following the event, establishing a regional forum for collaboration and co-creation for implementing the SDGs.

Living Metrics are powered by LivingNethos, a collaborative Network Intelligence platform. Stay tuned for additional mappings of European networks to help identify new project partnerships in support of SDG implementation. 

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