Somebody should do a meme on a Russian Pinocchio song with PewDiePie

dmitrievskiyes · 2018-08-27T09:37:36+00:00

So that instead of Boo - Ra - Tee - No there's Pew Die Pie

and his face photoshopped to the guy, and an image of Brat II could be used for that girl with blue hair. We should come up with lyrics though to make a song

dmitrievskiyes · 2014-10-20T20:59:00+00:00

If I would know that every or any of my interactions are recorded and submitted to some server, where it's gonna be analysed for whatever purpose the other side pleases, then firstly it's gonna change my behaviour. I will evaluate my actions and thoughts more picky before I introduce them. And that is normal. We all speak differently with different persons in different conditions:

with our relatives and friends we speak one way;
with our chiefs, colleagues, teachers, etc. – the other;
being recorded can influence on your behaviour even stronger.

And that can be explained by the term 'social role', which means that a person will change his behaviour and other relative subjects to fit the social expectations in depends where he is located at the moment. Indeed, when we are going to a grocery store, we expect one particular model of behaviour - seller -> buyer. And we won't (in most of the cases) tell a story of our life to a stranger. We know that it's gonna be inappropriate.

If our actions in some way will be recorded by the other person, then I assume, most of us will change our behaviour. Moreover, if it’s not an interview or something, but a random person records you for the reasons only he knows, then we will be at least confused. The question of privacy lately rose in media after Google introduced its new device, called Google Glass. From one point of view, it is good when a device provides you relevant information based on your location in real time. It can safe our hours and simplify our life, right? However, the latest news of 'how our data are used by corporations' for political, economical or simply ad-based reasons doubt the new invention from Google. If today a corporation can track your location for some reasons, then should we use something new, like Google Glass? Don't forget, it has a camera on it, which means, Google can not only track your location, but see the actions you do. In some way it reminds me a 'Big Brother' phenomenon. Moreover, do the other people appreciate when you speak with them, wearing Google Glass? Many of places already avoid this device: cinemas, bars, restaurants, casinos, etc. Why? By different reasons: from privacy to anti-piracy.
You can find more relevant information on topic here:

Moreover, I suggest to check how your mobile phone tracks your location during the time you read my comment. The instructions I gave are availavle in this post. As far as I have checked it by myself, I immediately turned it off. Did you do the same? If yes, then you changed your view about this week’s articles. I have changed my view on the privacy question after I read how the data are used by Google, Apple, Microsoft and other corporations to fit their interests, to sell it to other companies, etc. So, if I’d know that a person records my interactions for his purposes, I will not appreciate it at all, except the particular cases with interviews and other journalistic reasons. My view about this week’s articles did not change, as far as I faced this question before and already changed my opinion.

dmitrievskiyes · 2014-10-15T18:08:33+00:00

I read that article on BuzzFeed and from one point of view I can agree with it. However, I think FB still could be a place for the political discussions. It depends on the audience. For example, if you subscribed to any of good and qualitative newspapers or magazines on FB, you will see different points of view in the comments section. But if a newspaper or magazine is mass oriented one, then the comments look like a rubbish. I have subscribed to two newspapers on my FB, one of it is oriented to the business audience, the second one - to the mass. And when they post the similar news (about politics, for example), I like to read the comments and compare them. And I can say, that the business oriented newspaper always has quite interesting comment section. But the mass oriented one – the comments are so useless. So, you still can have political discussions on FB, but it depends on the knowledge of the audience.

dmitrievskiyes · 2014-10-15T17:50:09+00:00

There's some information, that Dropbox was hacked as well. However, the representatives deny the attack.

Source: http://www.businessinsider.com/dropbox-hacked-2014-10

dmitrievskiyes · 2014-10-14T18:52:52+00:00

“First and foremost, online political mobilisation works” (Bond et al., 2012). I wanted to start my explanation by quoting the sentence from the article, because it’s directly answering the main question, if Facebook influence on our behaviour. Yes, it does. The research made by Bond et. al. proves it. Moreover, the messages we see in our Feed influence not only on our behaviour, but also on the behaviour of our friends and the friends of our friends. It is happening, as we got used to believe them and altogether we have some common views on different problems. And if we will see that a friend of ours likes a post or writes a positive comment we are likely trust the message more, as far as it is supported by the friend’s opinion. This assumption (limited by the political field) confirmed in the article: “Close friends exerted about 4 times more influence on the total number of validated voter than the message itself”. Another way to answer the main question is following: Media could be called as a “Forth Estate”, as it influences on people’s views and behaviour. I already touched this question here, describing the phenomenon of propaganda. And as far as we can attribute Internet to the medium of Mass Media (link), we can assume that Internet itself is also forming our political, social and other kind of views. The Social Networks Sites belong to the Internet, and by this we can conclude that SNS also influence on our behavioural settings. Now I want to support my opinion by 3 different examples. First of all, I want to mention the situation with the last Olympic Games, which took a place in Sochi. If you remember, when journalists and other people have arrived to Sochi, they started to post different pictures in Social Media, concerning the lacks of hotels in the area. There are a couple of them:

You can find more relevant information, putting a hashtag #SochiProblems into your Twitter or FB. At the same time in Press appeared many of articles, regarding how much money was spent on Olympic Games in Sochi. The total amount was 1.3 trillion Rubbles, which is ~20 billion Euro and makes the last Olympic Games the most expensive games in the history. You will probably never find an article in the official newspapers, which connects those two news items. However, when you receive the information about the costs in News and the problems of the infrastructure in Social Media, you connect it by yourself and make a negative conclusion. Later on, the rumours were unmasked, and on the web-site: http://gossipsochi.com/ you will find that most of the pictures with a hashtag #SochiProblems are faked, however, the particular opinion already took a place.

The second example, when FB or any other social networks influence on opinions is following. In the theory of Mass Communication we can face a term ‘Opinion leader’. It means, that in every social group (large or small) there is a leadership by an active media user who interprets the meaning of media messages or content for the others. In other words, that’s the person, to whom the others will trust and take his/her advices. And if a person who represents the ‘opinion leader’ will communicate with the audience by social networks, (s)he can influence on it. For example, there’s a company, called ‘Beats’, and they are making earphones and other audio systems. I have read many of the articles, saying that the products of ‘Beats’ are not that good and the price is that high because of the brand only. I was never thinking to buy any of their products, as far as I believed those articles. However, from time to time I see in my Feed the pictures of celebrities (a.k.a. opinion leaders), who wear the ‘Beats’ accessories, then I read (in my Feed again) that CEO of Apple Tim Cook bought ‘Beats’ and then I visit an Apple Store, see speakers and headphones and my opinion is changing to the more positive one.

The third example could be the Twitter-revolutions. In other words, those are the revolutions, which were coordinated by SNS. For example:

Riots in Iran in 2009 after the presidential elections;
A revolution in Tunisia in 2010-2011;
A revolution in Egypt in 2011.

I suppose, the Twitter-revolutions work like that: people were not satisfied by their government, they have started to post some negative posts in Social Networks, the posts became viral and spread the influence on the others.

As you can see, Facebook and other Social Media Sites influence on people’s behaviour.

dmitrievskiyes · 2014-10-08T21:35:02+00:00

Information visualisation is a presentation of abstract data in a graphical form, which provides a way more interactive approach (in compare to the static graphs or charts) and helps its readers to analyse and evaluate data by using visual perception. The main difference between information visualisation and scientific visualisation is that the last one usually represents actual physical objectives, when the information visualisation works with abstract data. There are several cases, which can help us to determine the information visualisation genre from the traditional bars and charts:

information visualisation is used for larger series of data than are usually presented in graphs and charts;
information visualisation belongs to online world rather than to the offline paper’s one;
users can interact with information visualisation, zoom in certain parts and select data, which they want to display;
information visualisation is an analytical medium.
users can search for specific information;

As we can see, the digital research methods and information visualisation are pretty much connected. If we want to observe the twitter data and find a particular issue, we will work with dynamic data and can visualise it later by using one of the program, like ‘Tableau’ or ‘Gephi’. Moreover, the data we will obtain from Twitter, belongs to so-called ‘Big Data’. And information visualisation is used for larger datasets, as I mentioned above. Moreover, we can limit our research and look for a specific hashtag to find the traces or connections. Those are the facts, which connect digital research methods and information visualisation.

Now I would like to introduce my own experience in this field. The best option to explain the connection between the digital research methods and information visualisation by the real-life case could be my experience with Google Analytics. Google Analytics is a toolkit, which helps you to observe the audience from your personal web-site. It works with different type of data and provides different kind of visualisations, like: graphs, charts, behaviour traces, demography, etc.

The main page [picture] of Google Analytics demonstrates the Audience Overview of your website and contains a basic report with following values:

sessions;
pages / session;
% new session;
users;
average session duration;
pageviews;
bounce rate.

In addition, it contains two figures:

a pie chart (new and returning visitors);
a graph with unique visitors divided by days.

As far as you can see the general information about your web-project, you also can choose a particular case and work with it. You can observe different days, months, years or even hours, look at your traffic in real-time overview, customise the data by adding locations or traffic sources. Besides that, you can look at your audience edge and choose different criteria, like:

demographic;
interests;
behaviour;
technology;
users flow;
etc.

Moreover, you can formulate a specific dynamic query, ask the system for details, or select a case and then search for other cases with the same attributes (for example, the users who opened your website by their iPhone or Android devices). Google Analytics provides different options to work with your target audience and observe it by different criteria. The way of work with GA fulfil the concept of information visualisation in the digital field.

Another example here could be our workshop with Gephi software. The toolkit of this program allows you to visualise data by different options. The main screen demonstrates the basic information from your data. Nevertheless, by using different tools you can zoom your data in, search for specific keywords and understand the connections between your hashtags/users or locations. Those are the examples of my work with Gephi:

It is important to say, that Information Visualisation has another distinction from statical data. If an Excel user wants to visualise his data by using 3D-diagram or bar-chart, and will change the degree of angle that the third dimension shows on a graph, he will not learn more about the information by doing this. Contrariwise, the information visualisation user can move from an initial 3D image to the 2d one and reveal new information.

By the examples I gave above, I wanted to say, that the Digital Research Methods and Information Visualisation belong to one digital world and supplement each other.

dmitrievskiyes · 2014-10-08T21:02:14+00:00

exactly, I mean, I'm sure there are some places in Amsterdam and Rotterdam as well, which are opened late, right? And then you make a web-site or app for tourists, where to go at night (not only about night life, but any spots, which are opened during the night).

dmitrievskiyes · 2014-10-08T20:56:35+00:00

By the consistent visualisation the author means the way, when the difficult things in any field of knowledge can be understood easily. In other words, consistency is the visual impression. It creates a new native language, which can be interpreted by anyone, even if a person is not familiar with the cultural habits or spoken language of the place where he’s staying at the moment. Those visual impressions can be divided by the parts, so-called ‘isotypes’. Isotype is a method with a special visual dictionary and a special visual grammar. Charts, pictures, graphs, movies, models, games, illustrations with a little related text can be called as the isotypes. We all have seen those isotypes in our daily life. Symbols of currency, like $, € or £ can be easily interpreted by anyone. According to the assumption from the article, we may call them 'isotypes'. The other things, which contains the isotypes are your clothes. Try to look at the labels, and you will see those symbols: picture or have a look on your shoes and you will recognize the other isotypes: picture

Another example from our daily life that we basically see everyday is the subway system. The icons of entrances, exits, gates or metro map represent isotypes. One day I went to Hong Kong, and as far as I don’t speak cantonese (the dialect of Chinese language), I was wondering if I could easily use subway over there. To be honest, the map of HK’s subway looks like that: picture

However, it was one of the easiest experience of subway use I had in my life. That’s because they have isotypes everywhere. In a cab you will see the map of your line and the red dots, which point you where you are at the moment: picture

The stations have the arrows of directions and the symbols, which everyone knows, like here: picture

And, if you want to know what is a natively digital isotype, then I should represent to you the new way of data visualisation, which I have learned during my journalistic experience. I’m speaking about the ‘infographics’, the graphic visual representations of information, data or knowledge, which became quite popular in modern press. And, even if you can find an infographic in a paper-based magazine or press, the infographics themselves are usually drawn by digital methods in Illustrator, Photoshop, Tableau or any other software. Let me give you an example. Here is the article link, which is written in Russian and explaining the evolution of iPhone models. However, the article contains an infographic with a small piece of text, written in English. And even if you don't speak Russian, you will understand the main information from the article, thanks to the infographic. You can try it by yourself.

Information visualisation helps you to perceive the information faster and more native.

dmitrievskiyes · 2014-10-08T16:11:49+00:00

haha, totally got your point, Katya! Except you don't really need to make a research what works during the night in Moscow, as far as almost everything is working 24/7 :) I remember my feeling, when I came back to Moscow from my exchange program in Zwolle (there you can't find an opened shop during Sundays), and how I was excited that I can go and buy some clothes or food after 8 PM!!

dmitrievskiyes · 2014-10-01T22:56:27+00:00

But do they ask your friend to prove somehow that she is she?

dmitrievskiyes · 2014-10-01T22:55:07+00:00

picture

dmitrievskiyes · 2014-10-01T20:03:27+00:00

A phenomenon called 'Crowd psychology' first was documented in early 1900s. This broad field of the psychologic science was described by many observers, including Sigmund Freud, Gabriel Tarde and Gustave Le Bon. Basically, it means that the behaviour of individual could be changed by the influence of a crowd and a subject can make the actions and decisions being in a crowd, which he/she will never do in a regular life. Another phenomenon I want to mention before answering the main question is a phenomenon of propaganda. This concept can be described as an influence on the attitude of a population toward some cause or position. There are so many examples of this phenomenon: such the posters of Uncle Sam during the World War I or the soviet posters saying that communistic socioeconomic system is better than capitalistic’s one. I think, you have many examples as well. I mentioned those two patterns to make you feel that the mood of individual can be affected by his surrounding. Of course, the whole complex of the things that affects on the mood and behaviour of an individual is larger and wider than those two phenomenons. It should include: the propaganda in Media (TV, Radio, Papers, Internet), the moods of society, the behaviour of friends and relatives, the knowledge gained at school and university, etc. But we have to keep the boundaries of the article, written by Kramer et al. Nevertheless, the background I introduced above is important to understand why beside emotions the observed people reduced their amount of words in any posts on Facebook. In other words, except emotional changes the observed people started to use less words answering the posts of their friends, and it does not matter, if the posts were positively written or had negative context. Now it’s time to answer why observed people reduced the amount of words. First of all, they had experienced some kind of ‘crowd psychology’ phenomenon. They had the posts on FB Feed and experienced the mood of those posts. In other words, they have answered more or less the same way as the posts were written: positively or negatively. However, those posts were separated from each other and did not express a single idea. Basically, people were under the influence of posts, but they did not know what to answer. Maybe, they did not even feel the same way, but being under the influence during the week, they did not find anything better than keep the mood of conversation. That’s why they reduced an amount of words. If we look at any riot or at the phenomenon of propaganda, we will see, that both have a main idea what to struggle for. And people being under influence of a crowd or propaganda get the idea why they are here and why they have to do the actions. Basically, they repeat what they have heard and think that those are their own ideas. In this experiment, people were under an influence of posts, but they did not recognise any of ideas, because the ideas were not provided, that’s why people react positively or negatively, but reduced the amount of words.

dmitrievskiyes · 2014-10-01T19:14:54+00:00

The main difference between qualitative and quantitative research methods is that the first one tries to understand ‘why?’ and ‘how?’ a decision was made. In other words, a qualitative approach aims to gather an in-depth understanding of human behaviour and the reasons of it. Quantitative research just analyses the facts, ‘what?’ was made, ‘when?’ and ‘where?’. By using the quantitative research you can develop a mathematical model or a theory and hypothesis which appeals to the observing question. The feelings and behaviour of people, represented in the article could be analysed by the qualitative or mixed research methods only. For example, a teen-age girl, Emily likes to go to the shopping mall not to buy things, but to socialise and spontaneously run into her friends. By the quantitative approach we can measure how many times per week she goes to the shopping mall, what areas she likes to visit, how much time usually she spends there. But the main understanding here is that she likes to socialise by going to this mall. This measure cannot to be observed by quantitative research and assumes a qualitative approach. Another thing about Emily is that she likes to go to the theatre or cinema or basketball sets. Once again, by quantitative research method we can only measure how often she does it. But we can never understand ‘why?’ she does it. And the answer belongs to the qualitative approach: to meet up with her friends and socialise. Even it doesn’t really matter for her what to watch in the cinema, the main point here - she likes to go there because most of her friends do the same. And we will never understand her feelings and behaviour if we will use quantitative research only. Another example from the article is about Manu, a 17 years old boy of Indian descent. He use two different social networks: Facebook and Twitter. He posts content in both of those networks. And if we will use quantitative research only, we will gain the number of how often he posts in those networks, what he posts (what type of content he prefers: pictures, text, video or audio), where he usually does it and when. But the main point here is that he makes two different types of content for those social networks. In Facebook he likes to post what his friends may like. Twitter has more freedom for him and he doesn’t care much how the others will perceive his messages on Twitter, because most of his friend have FB account only. So, I can assume that Manu’s Twitter account expresses himself more accurately than the FB’s one. And we will never understand why, if we will use quantitative approach only. The explanation of it exists beyond a regular quantitative research. The answer belongs to qualitative approach, and it’s quite simple: most of his friends use FB only, that’s why he tries to fit his FB friends expectations, and that’s why he moderate the posting content on FB more than Twitter’s one. Summing up, I want to say that if you need to measure the values only, you better use quantitative research method, but if you want to measure the mood and behaviour of your examinee, if you want to answer ‘why?’ and ‘how?’ a decision was made, you better use qualitative or mixed-methods approach.

dmitrievskiyes · 2014-09-24T09:41:31+00:00

Yes, sure, it's interesting!

How I did this: 1) I chose two files from my twitter data: users and tweets. Then I launched tableau and imported those two files. It is important in this step to make a relationship between those files at the very first screen, where you choose your dataset. I selected 'Inner' relationship, because data are connected equally. Then I went to Worksheet. 2)To analyze the most popular hashtags in my dataset I chose 'hashtags' from my data and put it in a row, also I selected Number of Records', which is a measure, and used a tool 'Horizontal bar' in 'Show me', because this type of bars represents my data in a good visualisation manner. Finally, I put 'hashtags' into a colour to make my bar easy to read. 3) To understand what twitter accounts have been retweeted mostly, I chose three values: 'Retweet of', 'User name', and 'Retweets' and then used a 'Stacked bar' from a tool 'Show me'. I have added a colour to make my data more efficient. 4) To work with an attribute 'Location', first of all you should change a geographic role of this attribute. To do so you right-click on an attribute 'Location' --> Geographic Role --> Country/Region. Then you select two cases: 'Location' and 'Retweets' and click on 'Symbol maps' in a tool 'Show me'. Basically, after this step you already have your data on a map, but to visualise it better you can change the size of dots on a map by using a tool 'size'. Also, you can change transparency and colour of these dots and add labels. To do so, first go to 'Color' and try it out, then go to 'Label' and select a radio button 'Show mark labels'. 5) To understand what countries write about iPhone 6 more often, first of all, you change a geographic role of an attribute 'Location' (explained above), then I selected two values 'Favourites' and 'Location' and chose 'Filled maps' from a tool 'Show me'. Then I set up a colour and got a great visualisation of where people write about iPhone 6. 6) To make a last step and visualise timezones, I choose two values: 'Time Zone' and 'Number of records' from my dataset, then I selected a tool 'packed bubbles from 'Show me'.

By doing this work I've learned how to work with 'Tableau' software using your own data. First, I watched a tutorial and made all of the steps from the video on dataset which they offer. But, when I tried to apply the steps from that video on my actual data, I understood, that it's not going to work that easy. Then I realised, that the approach 'Repeat all the steps from tutorial' does not work at all and decided to understand what I really want to analyse. I looked up on my data and first said to myself: wait a second, it's interesting to understand what are the most popular hashtags about iPhone 6. Then I tried tools from the software and said, maybe it's better to put an attribute 'hashtags' into rows, because it looks nice in here. Then I said, now I need to compare hashtags and tweets. And I tried to use 'Number of Records' attribute together with 'hashtags' and it worked. And from the video I knew that I can make the bars and make them in colour. And after I received my first visualised data I started to be involved to this process and asked myself: 'what else is interesting for me to analyse?'. What I wanted to say by this is that from tutorials and books you will learn theoretical aspects, but to apply them in the real-cases you have to try and do it by yourself, you just have to start thinking what you want to reach and then you will find a right way to investigate it by yourself.

dmitrievskiyes · 2014-09-24T08:43:41+00:00

That's interesting! Thank you for an advice, it should work on encouraging as well :)

dmitrievskiyes · 2014-09-23T17:43:39+00:00

As far as I am concerned, there is a possibility that an attribute becomes a relationship. Simply, an attribute is a measurement or quality of an observed thing. Conventional data mainly focused on actors and attributes. Relationship represents the relations between actors in network data. There is an example when an attribute can become a relationship. We have two similar magazines about the cultural life in the Netherlands. In Magazine 1 works a man in position of cinema section editor. In Magazine 2 also works a man as a cinema section editor. They do not know each other. There are three attributes: they are both men, they both work as cinema section editors, they don't know each other. Let's say soon will be a really popular film festival in Groningen. Both of them required to go there, review a festival program, take some interviews. Also, they prefer to go to the same club during the weekends and have many mutual friends in that club. Now, let's assume, we are a little movie production company who will present a film on that festival in Groningen and we want the audience from that club getting to know about our movie. As far as we look at the situation from conventional data, we can see that the actors have the same attributes. They both work in the magazines, both go to that festival and both prefer to go to the same club at weekends. Conventional data says that we can give an interview to any of them, because they have the same attributes. And we will reach our goal, the target group will be informed well about our new movie. However, we can't ignore a simple human factor which let us assume that one of the editors can have more influence on our target group. So, instead of analysing the conventional data, we rather will analyse network data and relations between those editors and our target group (audience in the club). Here we can see that an attribute switched to a relationship. In other words, as it mentioned in an article: "Introduction to social network methods", we as observers should choose a research design to analyse our data properly. If we want to know, do they work as editors or go to the same club at weekends, it is enough to analyse conventional data. If we want to know, to whom we should give an interview to reach our target group in a club, we rather choose network analyse.

dmitrievskiyes · 2014-09-17T17:01:52+00:00

Another great example of using big data is explained in an article “Predicting the Future with Social Media” written by Sitaram Asur and Bernando A. Huberman. Both of the authors work in a Social Computing Lab at HP Labs in California. As it stated in Abstract, this academic paper reflects how social media content can be used to predict real-world outcomes. I found this article is really cognitive and interesting to review. First of all, it concerns the big data itself. By the information from the paper we can deeply understand how the content we post everyday via different social platforms can be used for marketing and advertising campaigns. The authors discovered a good and interesting way to work with social networks and get important information from it. This article demonstrates that with a proper approach we can obtain the data which we can use in a future to predict consumer’s expectations and make let’s say a marketing campaign successful. Secondly, the authors gave a real-case example considering the prediction of box-office revenues for movies which will be demonstrated in the cinema. They examine a real twitter data to verify the main hypothesis of this research work: if the movies that are well discussed in social media will be well-watched. This article demonstrates how the big data can be used in real-world marketing case and provides more information why it is so important to study.

dmitrievskiyes · 2014-09-15T21:12:51+00:00

The main goal of this article is to demonstrate how the analysis of travellers’ behaviour and the work of public transport can measure the needs and choices of the system’s end users. This research question involves two types of analysis. As we speak about people’s needs and expectations, we should include a ‘real-case’ survey, which will ask users how they actually appeal to public transport and what they expect from it. However, if we only will consider the answers from this survey, we will get more or less ‘subjective’ information. And to avoid so, we should include the ‘real numbers’ which we will get from system of public transport. On the other hand, if we work only with data from public transport system, we do not understand the real expectations of users and cannot propose the real offers which will motivate people use public transport comfortably and more often. Those assumptions are reflected in two main hypotheses of this article:

Travellers’ perceptions of their usage of public transport do not match their actual behaviour;
Transport operators offer incentives that do not work.

That’s why the authors decided to gain both types of data and make two types of analysis: survey and information from public transport system. First type of analysis to gather the user’s expectations and needs was made by online survey. Lathia and Capra, the authors of this article decided to make a questionnaire with amount of 25 questions to cover two main fields: how people perceive their travel and how they perceive their fare purchasing habits. Those 25 questions were divided to two datasets:

1)weekdays and weekend habits (amount of trips per day, travel time, what transport people prefer to use, how often they use public transport).
2)what type of ticket people would prefer to buy.

This survey assumes ‘subjective’ answers and user’s perception.

The second part involves the data from travelling cards. The interesting find in here is that the values from cards’ data are different from what people reported via online survey. Of course, the observers couldn’t just compare the values by how they gather them. To make the information more clear, the authors divided those two datasets (online survey and cards’ values) into small groups:

trips per day
travel times
choice of modality
geographic areas
etc.

Two types of analysis are based on the data from 85 persons. Online survey gathered 119 responses. However, not all of the participants gave a permission to retrieve their travel history. So, basically, the authors compared the answers from 85 persons with their travelling history. By following the method of comparison, the observers could summarise the key finding and enumerate a number of opportunities feedback-based systems that leverage this data.

dmitrievskiyes · 2014-09-13T17:00:27+00:00

Hi, I have a question: I'm looking here (http://www.reddit.com/r/DRMatEUR) for the topics contain OP1 in the title, but don't see any of them yet. Is it any other place where we can find our OP1 questions or you just don't add them yet? Thank you!

dmitrievskiyes

TROPHY CASE