Concepton

a device that is generating concepts


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Skills network

Anything related can be a network. Any network got a hidden magic inside. Building a network is unleashing another part of the beauty of this world. And when you do this, when you find the secret clusters, when you connect the lonely entities of existence – then this magic is flowing though this network, enlightening and reviving nodes, breaking out over the invisible strings into the life, connecting everything and everyone.

Our skills are shaped by the templates of education and jobs, by human behaviors and to get a glimpse of this bias we can do a simple experiment.

Let’s build s crawler that is getting LinkedIn skills from many people, connect those skills based on cross-correlation and build a network that is based on highly correlated skills.

Even small amount of people I took (about 150), is giving a network of over 400 correlated skills, connected by 3500 links and lots of interesting insights.

skills_network2

So… Mainly pics and less words.

Parts of the network, related to declared programming language-based networks (per language). Pay attention on differences:languages

Design (Since this is a small network, it is biased by my occupation, so the design is mainly represented by word of semiconductors – doing it widely would expose other meanings of design):

design

…with zoom-in on SOC (System On Chip) skills network (pay attention on lack of connection between “microprocessors” and “dsp”  skills. hhhhh…) :soc

Declared Skills, related to “Microsoft”:microsoft

This one is coming from my MBA friends (“Merges” as an anchor):

MnA

Hmm… Interesting positioning for Leadership skill:Leadership

Strategy cluster:

strategy

Those are just several examples, but the applications of this network are giving a big potential value. Amazing HR models and mode of work, Personal effective definition of skills and positioning… It can take the LinkedIn to a whole new level.

And as usually – Do not forget to Enjoy Your Life!


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Annual Feedback quantitative analysis

Yes, I am more than 10 years in Intel Electronics and every year I’ve got the annual feedback (called “Focal”). I thought to look at the nature of the work that I am doing by analyzing the semantic data of those documents. From confidentiality reasons I cannot bring parts of it here, but I can show you some quantitative analysis that I ran on the data.

Among various perspectives, I wanted to look at the verbs that are used there to describe my accomplishments (one out of three components together with “strength” and “areas for improvement”). Out of 30 paragraphs (3 each year) and 4.1k words in total, here is the distribution of all top verbs (overall about 200):

Accomplishments-Verbs

The thought was that verbs of accomplishments are the nature of the work. Now, when I look at it, the direction is amazingly correct – this is what I actually did.

Taking “worked” as a baseline (100%), I have calculated the rate for the rest of verbs relatively.

In addition, grouping verbs by their nature (excluding neutral “worked”), I can tell now, precisely how my work looks like:

nature of work

Know yourself. 🙂


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Annual pattern of jobs searching

Are you looking for a job? Most probably this is not a coincidence. Eventually there is a clear annual pattern in amount of people searching for new opportunities.

Here is a normalized relative pattern of amount of people searching for a jobs for a last decade.

Data is based on worldwide statistics based on millions of people and can be used as a model for Human Resource organizations, headhunters or just people that are part of the trend.

X-axis is weeks (1-52), Y-axis is growth in jobs hunting comparing to the average of the year.

X-axis is weeks (1-52), Y-axis is growth in jobs hunting comparing to the average of the year.

We see a nice and clear behavioral pattern that shows a gradual decline throughout the autumn to the annual minimum of job searches by the end of the year and the slight spike before holidays (people that remind that they need money for presents?). Then enormous spike to the annual maximum at the beginning of the year (motivation to change things in the new year? worldwide layoffs pattern?) and then spring decline followed by growth to a summer “hill”.

Same, but with average profile (Rsq > 0.8):

WW Job Search Profile

What can I say? In my company this profile would be one of base components of HR organization budget. I find it cool.


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A method to decide on optimal position while searching for a new job

Some time ago after a re-organization we have faced, I found myself switching position. As there were five options for me, I did not know what to choose. After asking a better question – how to choose, I reminded a method I have learned in MBA “Negotiations” course and applied it on choosing the right position. There are many similar methods though and you can follow them to make the process faster (e.g. Pugh decision matrix) or deeper , once you got the point.

Here is the method – step by step.  Continue reading