{{ searchResult.published_at | date:'d MMMM yyyy' }}

Loading ...
Loading ...

Enter a search term such as “mobile analytics” or browse our content using the filters above.

No_results

That’s not only a poor Scrabble score but we also couldn’t find any results matching “”.
Check your spelling or try broadening your search.

Logo_distressed

Sorry about this, there is a problem with our search at the moment.
Please try again later.

In my last post I introduced the Econsultancy network, a map of the follower relationships between 3,930 users talking about the brand, sharing links, and tweeting at the official @econsultancy account.

I pointed out that it was pretty remarkable that all these users talking about Econsultancy are bound together in a web of follow relationships, despite not necessarily sharing anything else in common. 

But how can we use this network data we've gathered to give us some more concrete insights we can use in our campaigns?

For example, to identify influencers, segment audiences, and understand what content is interesting to them. 

Identifying influencers using network analysis

The fundamental insight of social network analysis is that a person's position in the network is an indicator of how influential they are.

This is because influential people are more likely to acquire connections, but also because having more connections in itself makes you more influential. 

Put another way, it's difficult to imagine how someone could be influential on Twitter without being followed by others interested in their topic. Without followers, how would they be able to express their influence?

And if they somehow managed to be influential anyway, wouldn't they then acquire followers?

Once we accept this link between connections and influence, we can use algorithms provided by network software such as NodeXL and Mathematica to rank members of a network, and find out who is most influential.

The most commonly used algorithms are eigenvector centrality and PageRank, a variant developed by Larry Page of Google.

Algorithms like these reward people with lots of followers or relationships, but they also reward people for relationships with others who are themselves well-connected.

In other words, these algorithms allow influence to be passed on. They search out those who are not only well-connected, but are connected to others who are central.

The ten most influential users in our Econsultancy network. 
Influence rank (eigenvector centrality) Twitter handle Twitter bio
1 @econsultancy Econsultancy publishes independent research, analysis and advice on digital marketing, social media, ecommerce, SEO, mobile and tech for businesses.
2 @JeffSheehan #ATL based Marketing | Social Media pro |Speaker |30+ years Mktg | Sales Exp. | M.S. Mktg |LUV  travl, photog, & sports. Top  10 List  Twitter Marketing | SM
3 @GlenGilmore FORBES Top50 Social Media Influencer TIME Man of Action http://t.co/AooVGFSJrS VID http://t.co/XikjGrQBE5 BOOK http://t.co/D2OMyBA9fR Lawyer Tech
4 @leeodden Author: Optimize. CEO: @TopRank Online Marketing agency w/insights on integrated search, social media & content marketing. Proud dad, world traveler, foodie.
5 @gcharlton  Editor in Chief at Econsultancy. Blogs about ecommerce, mobile commerce, email marketing and more. 
6 @lakey Director of Product Development at Econsultancy, writer & music fiend. 
7 @danbarker i'm a big fan of ecommerce, emarketing, ebusiness, & selected other words beginning with e. 
8 @marissapick Sr. #SocialMedia #Marketing Manager at Euromoney Institutional Investor @iimag...Lover of great food & wine, #soccer fanatic, #yankees fan and #shopping addict! 
9 @CANDDi Campaign and Digital Intelligence - follow us for conversion rate optimization analysis & tips - visit us to try our #Analytics & #LeadGeneration technology :) 
10 @eskimon Managing Director, We Are Social. Alter-ego to @djeski. On a quest for the world's best whisky and street food, and social serendipity along the way 

The Econsultancy account itself is the most influential as we'd expect, even though accounts with far more followers were picked up in our network.

The fashion retailer ASOS (@ASOS) has more followers than Econsultancy (more than half a million compared to Econsultancy's c. 150,000), but because it is less relevant to this community is ranked far lower in terms of influence at number 51.

Likewise, the eigenvector centrality algorithm has placed two employees of Econsultancy in the top 10 (@gcharlton and @lakey), correctly working out that they are very relevant to the community we're looking at even though they also have fewer followers than ASOS.

100 most influential accounts in the Econsultancy network, size by eigenvector centrality (=influence) score
The 100 most influential accounts in the Econsultancy network, size by eigenvector centrality score

'Betweenness', brokers and innovators

A variant measure when we're looking for influencers is 'betweenness'. Rather than finding people who are at the centre of communities, algorithms like betweenness centrality find those who are on the most paths between others in the network. 

People with high betweenness tend to be the innovators and brokers in any network. They combine different perspectives, transfer ideas between groups (or decide to withold them), and get power from their ability to make introductions and pull strings.

The ten most 'between' users in our Econsultancy network
Betweenness rank (betweenness centrality) Twitter handle Twitter bio
1 @econsultancy Econsultancy publishes independent research, analysis and advice on digital marketing, social media, ecommerce, SEO, mobile and tech for businesses.
2 @marissapick Sr. #SocialMedia #Marketing Manager at Euromoney Institutional Investor @iimag...Lover of great food & wine, #soccer fanatic, #yankees fan and #shopping addict!
3 @danbarker i'm a big fan of ecommerce, emarketing, ebusiness, & selected other words beginning with e.
4 @EffectiveMktg Small business sales and marketing, mountain biking, photography, and Mac fanatic.
5 @JamesGurd Owner of Digital Juggler, Ecommerce consultancy & co-host of #EcomChat - weekly ecommerce discussion Mondays 1pm GMT. Please join in!
6 @iconic_digital MD at Iconic Digital, leading London based digital marketing agency. Follow me for industry news, marketing advice as well as useful hints and tips!
7 @JeffSheehan #ATL based Marketing | Social Media pro |Speaker |30+ years Mktg | Sales Exp. | M.S. Mktg |LUV  travl, photog, & sports. Top  10 List  Twitter Marketing | SM
8 @SocialBro Power marketing tools to grow your business through Twitter: build your community, precise targeting, analytics, competitor tracking, best time to tweet & more
9 @eskimon Managing Director, We Are Social. Alter-ego to @djeski. On a quest for the world's best whisky and street food, and social serendipity along the way
10 @oursocialtimes Our Social Times is a social media agency working with clients in the UK and Europe. We also run great events.

In my next and final post, I'll look at how we can use the Econsultancy Twitter network to find communities and optimise content for them.

Andrew Lamb

Published 30 October, 2013 by Andrew Lamb

Andrew Lamb is Senior Digital Strategist - Healthcare at Ketchum / Inspired Science and a contributor to Econsultancy. You can connect via Twitter or  Google Plus

3 more posts from this author

Comments (7)

Comment
No-profile-pic
Save or Cancel
James Gurd

James Gurd, Owner at Digital JugglerSmall Business Multi-user

Woohoo i'm an Inbetweener.

CAn we all now charge Econsultancy based on our relative level of influence, innovation and brokering?

Just asking....

Thanks for an interesting blog and useful info on the algorithms/tools behind this type of analysis.

james

almost 3 years ago

Graham Charlton

Graham Charlton, Editor in Chief at ClickZ Global

No, you can't. ;)

almost 3 years ago

Avatar-blank-50x50

Nick Stamoulis

I feel like those "between" Twitter users are like the gate keepers. They are the ones creating the connections between unusual and unsuspecting groups. They might see patterns and relationships faster than the rest of us, which makes them good at jumping from group to group.

almost 3 years ago

Andrew Lamb

Andrew Lamb, Senior Digital Strategist – Healthcare at Creston GroupEnterprise

Nick – I agree, especially when you consider that innovation often involves combining insights from different sources / disciplines, as people like Steven Johnson have argued. 'Between' people might also feel less pressure to toe the line and have more freedom to try new ideas (because they are less embedded in the centre of their communities).

almost 3 years ago

James Perrin

James Perrin, Digital Communications Specialist at Feefo

Great post Andrew, and totally agree with Nick's comment. This is something we really need to get a better understanding of, specifically for community building and content promotion. Can't wait to read your follow up post. Do you know when it'll go live?

almost 3 years ago

Avatar-blank-50x50

Steve Ardire

check out @Tellagence Influencer marketing strategy redefined

almost 3 years ago

Avatar-blank-50x50

Jonathan Chen

Nice post Andrew. I'd be interested to learn how you used the eigenvector centrality algorithm to create influencer mapping like this. I think it could be very useful to understand these types of influencer analytics for companies.

almost 3 years ago

Comment
No-profile-pic
Save or Cancel
Daily_pulse_signup_wide

Enjoying this article?

Get more just like this, delivered to your inbox.

Keep up to date with the latest analysis, inspiration and learning from the Econsultancy blog with our free Daily Pulse newsletter. Each weekday, you ll receive a hand-picked digest of the latest and greatest articles, as well as snippets of new market data, best practice guides and trends research.