Australia goes mobile - 47% of net connections via mobile devices

It's long been reported that the majority of internet connections in Japan are via mobile devices - since 2006 in fact.

It now seems Australia is on the verge of following the same path, with the ABS reporting that as at 31 December 2011, 47% of internet connections in Australia were via mobile devices.

The report, (8153.0 - Internet Activity, Australia, Dec 2011), has some other interesting findings as well...

• The number of internet connections grew by 11.0% in the year to 31 December, and by 6.3% since the end of June 2011.
• Mobile wireless grew fastest, with a 14.7% increase since the end of June 2011.
  
• The number of dial-up connections continued to decline, to 475,000 - still a substantial number, but representing only 4% of the total 11,596,000 internet connections in Australia. Of those 379,000 (3.2%) were households, the rest businesses. 
• The number of dial-up connections declined 17.9% (from 579,000 to 475,000) since June 2011.
  Note the ABS state the decline was 16.7% - I don't know why our calculated figures differ.

• More Australians remain on connection speeds less than 8Mbps (55%), however a good proportion are on 8-24Mbps (34.3%). Only 0.3% are on connections greater than 100Mbps.

• The total data downloaded was 345,518 Terabytes (or 345,518,000 Gigiabytes) for the three months ending 31 December 2011. This was an increase of 26% since June 2011 (remember the number of connections only grew by 6.3% so we're all downloading more). 
• The average downloaded per connection was 29.8 Gigabytes (Gb) for the three months so, on average, we download 10Gb per month.
• However dial-up users only downloaded, on average, 67 Megabytes (Mb) of data per month, while broadband users downloaded an average of 10.3 Gb of data - showing a massive difference in usage.

• There were 91 ISPs in Australia with more than 1,000 subscribers - remaining a competitively very robust market.

There is a clear paradigm shift for users when upgrading to dial-up to broadband, with usage increasing by over 15,000%.

This representing a change from email and basic web browsing to the use of the internet as a multi-media interactive entertainment, engagement and service delivery environment.

It will be interesting to see the the paradigm shift in usage from users on fixed internet connections to mobile. I believe this is even greater as the services relevant to mobile users are very different to those relevant to static users.

Perhaps we can take another lead from Japan on this, based on the use of mobile internet during and following their recent tsumani.

Or learn from these five cities benefiting from mobile apps.

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govdex upgrade coming soon!

In all the time I worked in the public service I had a fondness for govdex.

As a secure collaboration system (built from the Confluence wiki platform) for government, it was often one of the few pre-built tools that agencies could use to share information between agencies.

Although it did, at times, suffer from slow speeds, low levels of promotion and a clunky interface, the support team was unfailingly helpful and cheerful and AGIMO's management stuch with it through thick and thin, knowing that govdex had the potential to transform the way agencies interacted with each other and with external stakeholders.

I am extremely pleased to see that AGIMO is working on an upgrade to govdex that will dramatically reshape the appearance and usability of the service.

Anticipated later this year (though I, for one, am happy for it to take as long as needed to ensure quality), the upgrade to govdex appears from the screenshots to make the interface far more comparable to modern online and social media tools - the tools that public servants are familiar with at home.

 AGIMO says in the govdex support pages that the new upgrade will,

make govdex more user friendly, provide easier use for navigation and collaboration, incorporate better use of customisation, improve interoperability and functionality, and accommodate Web 2.0 tools and technologies.

 The new govdex will,

will bring faster performance, greater levels of accessibility, improved document management capability, a higher degree of networking within communities, and better user customisation.

Even better, AGIMO is modelling an excellent user-centred design approach in that the system is being redeveloped based on a simple principle, "build a system for users, by users", with govdex "seeking feedback from its users on the design features of the new govdex."

I hope, with the success of this redesign, we'll see other agencies with less experience using this approach adopt this as a best practice example of user-centred design and employ the approach for their own online services to staff, stakeholders and citizens.

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Co-Design conference day 2

We're into day 2 of the Co-Design for Citizen-Centric Service Delivery conference and I will be liveblogging part of the day. Unfortunately I am presenting this morning, and have to run away early for a flight, however will cover as much as I can.

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Liveblog for the Co-Design for Citizen-Centric Service Delivery conference

I'll be liveblogging this conference today, and part of tomorrow.

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Is online influence measurable or meaningful?

Online influence is a hot topic right now, with companies such as Klout, PeerIndex, Empire Avenue and Kred all building online services that aim to measure the influence of internet users, in order to better target advertising dollars.

But how effective are these services really?

Does the number of followers, retweets or likes or some form of combination really identify those most likely to influence decisions and behaviours on a large scale?

Would any of these services have identified Janis Krums as an influencer of millions, before he tweeted a photo and message to his 170 Twitter followers about the plane that had landed on the Hudson River?

Would they have identified QLD Police Media as an important and influential account a few weeks before the Brisbane floods?

Would any of them have identified Rebecca Black, singer of 'Friday', as influencing an entire generation?

Influence online can ebb and flow rapidly. People go from virtually unknown to globally famous to unknown in a matter of weeks, days - even hours.

Therefore I was interested, but perplexed when I received the following email from PeerIndex a few days ago.

PeerIndex email:

I work at PeerIndex and we have a group on Australia top Twitter influencers and was wondering if I could get your feedback because you are on the list. PeerIndex measures interactions across the web to help people understand their impact in social media.

I was wondering if you could look over the list and let me know if you felt it was accurate? Do you recognise the other people on this list?  Is it missing people that you think are important?  

We would like to open up a dialogue with people in your field and think this would be useful to them (or at least start a conversation) it was accurate and interesting.

Here's the link: http://www.peerindex.com/rossdawson/group/australia_top_twitter_influencers

 

Thanks very much for your time,

I had a bit of a think about this and realised that I am an influence sceptic.

I am interested in sentiment online - whether people believe/perceive and say good or bad things about a topic. I think there's a strong future in this as a way to judge a general mood, supported by other more refined techniques.

However influence is just too hard to measure if only one dimension - online is taken into account.

Hence my reply, below:

Hi ,

 

I would love to help, however I don't think I honestly can.

I just do not understand how influence on Twitter, or on other online or offline social networks or situations, can be calculated in any effective manner.

Interactions online don't necessarily translate into actions offline and influence is generally a subtle and cumulative process - which requires multiple sources over a period of time.

For example, you tell me something on Twitter, I see something related from someone else in a forum, it gets discussed at work, I do some research as my interest is raised, then it appears in the traditional media and then I see others I trust taking a position and then I do.

The interlockings between topics and influence are incredibly complex and related to individual mental models and worldviews. Something that would influence one person will have no impact on another, people weight influence based on source, channel, frequency and relationship - and every individual has their own influence model - what will or will not change their view.

For an example (or study) of this, just watch the classic movie '12 angry men'. It is a brilliant look at how varied the influencers for different people may be.

I don't think there is a reliable way to identify influencers or put people in boxes for influence.

I find your, and other similar services, amusing, but do not see how your algorithms have accurately modeled my, or anyone else's levels of influence on the micro or metro topical level. 

Your models are simply far too simple and work on a subset of observable influences with no characterization of the individual influentiability of different people in different environments at different times - nor how long-term that influence will be.

Behavioural psychology is an extremely complex and poorly understood science. About the only way we can reliable detect influencers at any specific time or micro topic is in hindsight.

Humans are lousy at determining what is likely to be influential, other than by 'gut instinct', or through sledgehammer techniques, such as mass repetition (show the same message enough times to a broad enough group of people and some will be influenced).

So sorry, I don't know what makes people influential - chance, chemistry, repetition, a match with a particular mental model, a combination of influencers all working in alignment, or a reaction against a 'negative influencer' (a de-influencer? Someone we love to disagree with).

I certainly don't see how dividing people into boxes by arbitrary topic helps define their broader influence, or specific influence across other topics. The amount they talk about a topic isn't a good judge either, and it is always unclear whether someone 'heard' the message on a service such as Twitter.

So I don't think I can help you. Nor am I sure if your service, or Klout or the others in the space has a real business model. Though I do hope that your collective efforts expand our understanding of how connections between people can sometimes influence them.

Cheers,

Craig

What do you think?.

And for interest, here's another view from TechCrunch, "Klout and PeerIndex Don’t Measure Influence. Brian Solis Explains What They Actually Do".

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