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Step 1:
Audience (External (Egos (1. Egos to know?
Network science is a…
Step 1:
Audience
External
Egos
1. Egos to know?
- Network science is a thing.
- The basics - node, edge, etc.
- Applicable to all businesses.
2. Egos to feel?
- Reassured - Anthemis is putting in the efforts to better support our founders.
- Excited - That this new info. adds a new dimension for both Anthemis and the founders to consider.
- Curious - How can this be applied? Find out more info?
3. Egos to do?
- Think about the way they have been establishing their informal networks.
- Think about how they want to change/build their networks moving forward (try something new).
- Look for application inside business.
- Talk about it with their founding teams about their networks.
- Read related article (LINK?).
- Let Anthemis collect more data when necessary.
4. Egos to remember?
- Their networks matter (no hard facts on how it matters, but it matters).
- No right / wrong conclusions from this. i.e. no judgements.
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Internal
Rest of Anthemis
1. Rest of Anthemis to know / remember?
- This is a resource / avenue that can be adapted to fit the functions of their respective divisions.
2. Rest of Anthemis to do?
- Reach out with any ideas / comments / collaborations to improve the experiment or to adapt the findings to their own workflows.
P.S. / Ecosystem
1. P.S. to know?
- Network science is a thing.
- There are new ways to approach P.S.
2. P.S. to feel?
- Excited - This is only the beginning of a data-driven approach towards providing support to port. co.'s.
- Open - Being open to new ideas that tackles traditional needs.
3. P.S. to do?
- Collect more input data.
- Collect feedback from founders/egos about this initiative.
- Incorporate vector treatment of advice in workflow.
- Provide feedback on what can be done better.
4. P.S. to remember
- This is an ongoing effort, new developments are coming up.
- Near-term actions: Vector treatment of advice.
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Jargons
1. Network
- Network diagram (Population? Individual? Hypothetical hybrid?)
- Different types of networks and their unique characteristics (pros and cons?)
2. Ego Degree + Alter Density + Effective Size
- Fig. 1: Boxplots by funding stage.
- Fig. 4: Boxplots by geography.
- Fig. 2: Distribution graph.
- Equations for Alter Density and Effective Size
3. Founder (%) + Colleague (%) + Investor (%)
- Fig. 3: Distribution graphs.
- Equations for each element.
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