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Showing posts with the label signals

Core Concepts in Identity via @identitywoman

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Tony Fish @My Digital Footprint Source: http://www.identitywoman.net/core-concepts-in-identity Worth reading as provides a lexicon …. and this is my visual interruption

THE CONSUMER POTENTIAL OF COLLABORATIVE CONSUMPTION

Master thesis sdeg pieter van de glind - 3845494 - the consumer potential of collaborative consumption - august 2013 from Pieter van de Glind

The radical shift from profit motivated greed to purpose driven awareness and the impact on the 4 P's in a marketing mix!

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Tony Fish @My Digital Footprint When we were chatting about a collaborative digital business model, my nephew Chris challenged me with this statement “ I can't understand what the consumer gets for helping others though! ” I had just shared with him a business that raised $10m which allows people to help people for free.  I was rather hoping that his digital youthfulness was about to surprise me and provide me with a deep native understanding of being-digital and offer me some insights to the future; but his mind has already been corrupted by out of date, but classical business/ marketing, education. As we continued to debate digital first as I structured out an update to classical marketing, as is set out below. There is an awful lot written and taught about the traditional 1960’s marketing mix tool which is commonly known as the 4, 5, 6, 7 and even 8 P’s of marketing. A quick read of Wikipedia gives all the basics.  A re-write that never really caught on in the 1990s was

need some help on paradigm thinking about real time data!

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I have been doing some thinking about what real time means and I hope that this blog explains some thoughts. In the old world of data we collected lots of data and put in all into big databases and stored it. We then wrote cleaver algorithms to run over the data as analysis which gave insights such as context, feedback, fraud, behaviour and personalisation.   In my world I describe this as my rear view mirror. We collected data that we had just seen and then provided feedback on what had just happened. More recently we have dropped the store bit and instead use the real-time data feed to bring about immediate input what we are looking at based on sentiment, signals and intent. In my world I describe this as my head up display. We collected data that we had just seen (in the rear view now as passed it) but provide insights on what is happening. ---- The next point is a bit of a mind shift as it requires real time that is not generated by me, but could impact me. (Sensor data)  In

Google changes the algorithm; nothing new but what about the bias of coders?

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Here is the thinking, which has wider implications than a small change at Google…. If you took a complex algorithm and asked a 15 year old, a 30 year old and a 65 year old; both male and female, from different countries, using different computing languages and compliers to cut some code: will you get the same output from the same test datasets using the different implementations of the algorithm? – Probably not! So changing the algorithm is one thing; changing compliers (and who coded that), language and the age, sex, experience (life and skills) of the coders is another……but we depend on them. Yes there are tools to help ensure maintainability, supportability, scalability, performance and conformity but we do have a massive and increasing reliance on the coders ethics and lack of bias in the way the interrupt an algorithm……just wondering who is thinking about this as well. Why this is important to digital footprints. Someone you don’t know is taking your data and predicting your

Are you more than a social graph?

If the web is a "Social" something then this equals Facebook, Xing, Twitter, LinkedIn Google+. But social could mean.... "see what your friends are searching, buying, watching, liking, saying or doing" "buy together and recommend "filtered by who you know" "what's trending" "where are my friends right now or where will they be" Given that a social graph is a digital map that says, "This is who I know." It may reflect people who the user knows in various ways: as family members, work colleagues, peers met at a conference, high school classmates, fellow cycling club members, friend of a friend, etc. Social graphs are mostly created on social networking sites like Facebook and LinkedIn, where users send reciprocal invites to those they know, in order to map out and maintain their social ties. And an interest graph is a digital map that says, "This is what I like." As Twitter's CEO has remarked, if you se

Google doesn't want your identity - it wants the data that gives you identity

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It’s official: Google wants to own your online identity is the article is from GigaOm http://gigaom.com/2011/08/29/its-official-google-wants-to-own-your-online-identity/ using the same Image from Kat B Photography So Schmidt told it like it is at Edinburgh that an “identity service” unlocks the ability to do the trade and everyone goes into melt down. Why are you somewhat shocked that Google + plus  > than competing with Facebook.  As covered in numerous posts here previously, (social) signals are a critical part of Big Data but signals from real, authenticated, trusted real people with an identity means that you undertake a real "trade". Now lets not get sidelined by Real Name policy issues and the wider political implications;  lets just focus on the "trade or barter."  You give up data for access to FREE services, but the data cannot be identified means the value is smaller than knowing who you are. If they know who you are, the balance of value is f

The value for content is more complex than just context...

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This is a follow up to a discussion about Identity with my friend and fellow professional Nicky Hickman about our favourite topics of identity and where does value originate.  We were doing the rounds on the value of social media data, signals, pulses, waves and I got thinking about this slightly dated 2005 Mobile Web 2.0 diagram.  Ajit and I wrote about the changing nature of who was creating content and how there was a shift in the balance of power from professional to consumer, something the editor of our book did not agree at the time with but that is another story!    The chart shows how events accumulate different value depending on time and how it is consumed. Why go back and rethink.... One of the four value points was "new" but this was about new content (value based on consumption) and not about social content (the continual stream of personal data) which is about signals that create spikes, pulses, waves and trends .  There is a realisation now that your socia

Something I did not realise Google was doing - cleaver or creepy?

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According to Samy Kamkar on this Blog post - and having tried it, it is spot on. android map  exposes the data that Google has been collecting from virtually all Android devices and street view cars, using them essentially as global wardriving machines.  When the phone detects any wireless network, encrypted or otherwise, it sends the BSSID (MAC address) of the router along with signal strength, and most importantly, GPS coordinates up to  the mothership . This page allows you to ping that database and find exactly where any wi-fi router in the world is located.  You can enter any router BSSID/MAC address to locate the exact physical location below, or try his demonstration router by hitting "Probe" ------ Personally tried and it is 100% spot on as per my image. I then looked up the IP address and this told me who owns the IP pipe and most likely the company I am sitting at.  I could do the same with a search at Companies House and the address or you could just

The social genome: Could the Real time web do for Retail as advertising did for Search?

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The original article is by Ajit Jaokar Could the Real time web do for Retail as advertising did for Search? Ajit's blog arises from two recent conversations.... -          Earlier this week, I was in Brussels and discussed the future of the Web in a number of conversations with MEPs  which was based on the significance of the Real Time Web and -          I  blogged about the significance of the Real time Web  in conversation with  @tonia_ries ;  organizer of  The Real Time Report conference  in New York, which I am attending in June. Tonia came up with a succinct equation: value (for content) = time + place + shared interest Coming from a background of mobile and social media, for a long time, Telecom Operators have drooled at the idea of the proverbial ‘starbucks model’. While Starbucks never launched any such service as far as I know, the model went like this: When a customer passed near a Starbucks, they would get an SMS offering them 10% off the price of coffee. Tel

Do I want control over the things that have value or my privacy settings?

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Signals, spikes, pulses and waves are data that represent your real-time life and controlling them is game changing . The data that underpins signals, spikes, pulses and waves are in silos controlled by the likes of social media, TV, mobile and credit card companies who really don’t want to share, even though it is your data and you could benefit. Privacy as control There is a battle being fought for the protection of your data under the banner of privacy and tends to focus on your actual raw data ( think tweets, location, blogs, updates or Facebook status ) but do I really care about this short term, transient, real-time data or should I care more about what someone can do with the data. Yes control of the source prevents access but does not lead to control of the outcome, but when I consider that my data, on its own, has little value until it is put in context with others from my social group it changes my perception. Considering the central part of the diagram. Knowing that wi

Real time search for spikes, pulses, waves and trends is a game changer

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This is a diagram from Ajit Jaokar and my book on “ Mobile Web 2.0 ” way back in 2006 when social was new and search was stable. The reason I have dug this up is due to the fundamental changes happening in search.  In old currency terms, search was about indexing the web and making results available and using preferences to improve the relevancy of results.  There was a significant delay (i.e. it was not real time) between content becoming available on-line and it being indexed and then being found via search.  A fundamental to get on page 1 of a search was to be referenced by quality and or authoritative sources.  If your desire was for authority this model worked! The web has become closer to a real-time experience with the advent of service such as Twitter and Facebook and these services are effecting how we discover and interact with content. Search now needs to help you discover spikes, pulses, waves and trends and this is a whole new problem and it is likely to change who w

What are the inputs for social signals and digital footprints?

We are on the look out in the digital world for social signals, spikes, pulses, wave and trends and how they are combine to delivery value propositions such as authority, influence and reputation In the physical we are trying to take a known set of inputs and create algorithms so we can interpret what is happening .  However human interaction is not just about the here and now but has deep dependencies on personal history; which introduces a degree of randomness. It is no easier to look for these interpretations when we start to look in detail at what digital data could tell us.  In the book I took a long deep look at what you can do with this data and concluded the value was in the analysis not in the collection. Whilst there are some obvious differences between physical social signals and digital ones an important one is about collection of data as in the physical world you have to collect face, distance and audio data before you can start to work what is going on.  Social

What are the definitions for social signals, pulses and waves ?

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  This is about social media using engineering terms to try and define/ categorise patterns being seen or looked for in your data. For the purposes of this blog I am currently defining the following:- Social signal (physical) - think physical behavioural signals you give off when interacting. A seemingly erratic behaviour that routine, regular, repeatable and actually has a defined pattern irrespective of who you are. Social signal (digital) - think digital behavioural signals that are a continual feed from digital interactions. Social spike - think spike from a crowd doing the same thing for a short time and then moving on. Social pulse - think regular pattern or behaviour from a crowd when stimulated. Social wave - think growing sentiment of change from a crowd doing something different and moving to a new normal. Social trend - think underlying slow change in the crowd.

What words and services are connecting social, digital and me? #infographic

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  Trying to find a route to differentiate between pulses, waves and signals.  Next, what is the underlying data and how do they link to these….

You have to give up control of your data if you want to access authority, reputation or celebrity status

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Assuming that our data is either in our control or not then data must be part of the big digital game being played. But what are the levels of the game? At the entry level you have total control and you basic access to a service called private If we so choose we could allow others to use (not copy, take, image or cut) our data and run it through an algorithm so that we have access to the personalisation level.  No real data is given up and most things are in our control. If we want access to the volume level (effect) you must share your data but you gain access to the authority and recognition levels for your original work, but you need to be “liked” The only way to gain access to the final and highest level - the multiplier effect or celebrity status is to give up everything and risk it.

social signals - real ones what are they?

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This diagram is from a paper by Vinciarelli,Salamin and Pantic  On Social Signal Processing: Understanding Social Interactions through Nonverbal Behavior Analysis. 2010 More papers on from Alessandro Vinciarelli on analysis of nonverbal-social behavior are here It is an important backdrop to thinking about social signals in a digital domain.

Seven Indicators of Twitter Influence

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Originally posted at  Social Fresh A follower counts are an indicator of influence but not a very good one. Yes, followers can be and are gamed frequently with the assistance of shady web services. Here are a few more critical Twitter influence indicators: 1. Lists Being included on lists gives us two clues. One: Being included on thousands or more signals that you are visible. Two: The categories people use to classify you tells you something about the topics you have influence in: This is known as “topical influence” and it’s really what counts in influence. 2. Retweets These tell you something about how willing people are to amplify your messages and help them spread. A retweet essentially says “this is something I want my network to see”. It’s Twitter’s version of viral loops. 3. @Replies These signal how much others want to talk to you or intentionally tag you, and also serves as an indicator for how willing you are to engage and tag others. Less replies signals less soc

Extract from “My Digital Footprint”, this is from the Chapter 5 “Web 2.0 and Mobile Web 2.0”

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Mobile Web 2.0 – value lies in getting data out from a device   We have discussed Mobile Web 2.0 and Web 2.0 extensively above. We have seen that Web 2.0 could be viewed as harnessing collective intelligence and, by extension, Mobile Web 2.0 could be viewed as harnessing collective intelligence from mobile devices. This is depicted in Figure 15. Figure 15 Moving focus to getting more data off a device than on to it The ability to get data out of or off a mobile device lends itself to the unique advantage a mobile device has. We explore this idea in greater detail in subsequent chapters. Considering this concept, that there is more value in getting data off a mobile, let’s consider that sensors (acceleration, temperature, noise level) can easily be placed in or attached to mobiles. Further, a user can send information from their device, by voice, IM (Instant Message) or text, to a centralised service point. Both sensors and people can provide vital data during a disaster-relief operatio

Extract from “My Digital Footprint”, this is from the Chapter 5 “Web 2.0 and Mobile Web 2.0”

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Mobile Web 2.0 – value lies in getting data out from a device   We have discussed Mobile Web 2.0 and Web 2.0 extensively above. We have seen that Web 2.0 could be viewed as harnessing collective intelligence and, by extension, Mobile Web 2.0 could be viewed as harnessing collective intelligence from mobile devices. This is depicted in Figure 15. Figure 15 Moving focus to getting more data off a device than on to it The ability to get data out of or off a mobile device lends itself to the unique advantage a mobile device has. We explore this idea in greater detail in subsequent chapters. Considering this concept, that there is more value in getting data off a mobile, let’s consider that sensors (acceleration, temperature, noise level) can easily be placed in or attached to mobiles. Further, a user can send information from their device, by voice, IM (Instant Message) or text, to a centralised service point. Both sensors and people can provide vital data during a disaster-relief operatio