Measurefest: Network mapping and measuring relevant influence

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Why we need to move on from basic influencer identification based on Twitter bios, to finding people based on their network connections. Using conversational data from influencer networks to inform and evaluate content strategy. Drawing networks on NodeXL to visually communicate relevance to senior stakeholders.

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Measurefest

@brilliantnoisebrilliantnoise.com

Beth Granter@bethgranter22 May 2014

Network mapping and

measuring relevant influence

Hello! I’m Beth Granter. I’m a digital consultant at Brilliant Noise.

Brands I have worked with

- Why we need to move on from basic influencer identification based on Twitter bios, to finding people based on their network connections.

- Drawing networks on NodeXL to visually communicate relevance to senior stakeholders.

- Using conversational data from influencer networks to inform and evaluate content strategy.

Agenda

4

Why we need to move on from basic influencer identification

based on Twitter bios, to finding people based on their network

connections.

5

Discovery:

- Search Twitter bios for key words

- Search Twitter conversations

- Search blogs based on blog title and content

Prioritisation:

- Follower count

- Klout influence score

- MozRank or inbound links

Basic influencer identification

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Basic influencer identification

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Basic influencer identification outputs

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- Self-proclaimed experts/obsessives who define as such

- Highly vocal people around a key topic

- People who are generally influential online

- ...but not necessarily people who are influential around the key topic

Basic influencer identification outputs

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Influence score is not related to who they’re speaking to or what

the topic is

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Advanced influencer identification

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Prioritising influencers:number of relevant topic

mentions

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Section Header

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Section Header

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An improved measure of influence/relevance:

network follower count

The number of connections within a network of influencers

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Network follower count

A = 0

Not followed by anyone in the primary network

B = 2

Followed by 2 other followers of @measurefest

A

B

C

D

AC

DB

Discovery:

- Same as basic plus...

- Who does your initially discovered influencer/target list follow?

- Who is your initially discovered influencer/target list followed by?

Prioritisation:

- Number of relevant mentions

- Likelihood to be followed by / follow initial influencer list

Advanced influencer identification

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Drawing networks on NodeXL to visually

communicate relevance to senior stakeholders.

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NodeXL is a free, open-source template for Microsoft® Excel® 2007, 2010 and 2013 that makes it easy to explore network graphs. 

With NodeXL, you can enter a network edge list in a worksheet, click a button and see your graph, all in the familiar environment of the Excel window.

NODEXL

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Get list of followers

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Import list into NODEXL

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Unfiltered network

Network follower count

A = 0

Not followed by anyone in the primary network

B = 2

Followed by two other followers of @measurefest

A

B

C

D

A

C

DB

27

Filtered network

Who ELSE is influential to @measurefest

followers?

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Network follower count in a simple two-tier network

A = 0

B = 2

C = 1

Followed by one of @measurefest’s followers

D = 2

Followed by two other followers of @measurefest

A

B

C

D

A

B

C

D

Get ‘friends’ of (people followed by) refined list

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When the primary influencer list is broad, @stephenfry normally

comes up as top by network follows

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So, calculate network follows as a

PERCENTAGE of total followers, to get a more reliable relevance score

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Sort and filter by network follows as a percentage of total follows

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Using conversational data from influencer networks

to inform and evaluate content strategy.

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Author based query (not keyword based)

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Inform:

- What are your target audience / influencers talking about?

Evaluate:

- Have you managed to influence the conversation with your content?

- What volume of mentions from your target audience relate to your content?

Using conversational data from influencer networks to inform and evaluate content strategy

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In summary...

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Basic influencer identification

- Finds generally influential people online

- Who define themselves as experts, or talk a lot about a topic

Advanced influencer network mapping

- Considers the relevance of an influencer within a niche network

- Creates a visual to illustrate the value of the method to senior stakeholders

In summary...

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Thanks!Network visualisation links: delicious.com/bethgranter/network,visualisation

@bethgranterbrilliantnoise.com

© 2014 Brilliant Noise All rights reserved

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