 how do we do that in the end? But how do we do social media team managing in-person, online, in market, and in business? As a social scientist, I spent the last 10 years of my career studying people in technology, people in technology development, in the sector, in the marketing control, in the automated sector, and more recently, starting enterprise systems. And I started how people work in developing technologies. I ended up having an interest for how people sell technology, please their products. I ended up studying people like industry analysts. How many of you know Gartner? We spent a long time including people on why Gartner is so important. And we ended up also realizing discovery other actors in the market with analyst relations. So if I can get a hard ranking from Gartner, they are some analyst relations people, analyst relations, which help I and them get a better ranking by the various reports. So today I'm talking about a couple of projects which we've introduced you on some of the teaching, some of the teaching we do on social media analysis. And hopefully we'll introduce you to some of our two questions, our vision on how to learn about social media, social media and other activities. So we talked about one project which is titled Text Mining Career, which received funding from the challenging college of American Social Sciences Challenge Investment Fund. It's my promise in the end of the project. Another project which I'm developing as a case study for our course, which is also issued funding from the Digital Education Initiative of the United States. And then I will go through some invitations for continuous professional development. I hope that the invitations will be created a lot. So what is Text Mining? Text Mining Career is another leader for industry analysts. Industry analyst is not like a doctor, so you're not a format career person there. So how do you become an analyst? How do you become an influencer? And do you have something in the community? So we wanted to use some social media to enhance the privilege of accessing an industrial database of handcrafted industry analysts. And in this database you have the job for the professional profile, and importantly, access to the leading profile. So together with colleagues with the expertise in text mining, we are planning to pass to the mind an information from memory to the profile of the job title, company name, the data and the location of those analysts, and be able to extract the job sequences. So the job they had before, they are now analysts, and in some cases when you have been an analyst, what are you doing now? And then we want to cluster those 10,000 analysts in macro categories which will tell us something about what is the idea of a clinical career of an industry analyst, which will help us understand how to become an analyst, how to gain the relevant influence, the relevant expertise that makes you such an influential analyst. As a very important thing, I'm a social scientist. I spent years working in observing an analyst going to that conference standing in the morning that you have to stand in those conferences interviewing those people. And gaining a domain knowledge and knowledge of the practice of being an industry analyst. But this might be an in-depth knowledge which is by the access that I managed to have. So through collaboration with other experts, with the expertise in text mining and in the expertise in differential analysis, using some software tools like R, R, R, the cycle of an analyst, I will be able to expand my understanding of the practice. And what I am learning is how to talk to these other experts. And so these are the hypotheses that we are going to test on this course of development. So how to become an analyst? How does a sexual analyst career look like? There are some instances we can talk from our inductive ethnographic work on the field which is analyst comes from a heavy industry like the background. Is that true? What happened before you became an analyst? Another assumption is analysts have a background in math. So there might be an ideal type of studies which correspond to analysis. Through the science, we might get something new. And all analysts who have the right to achieve the center of things in Canada, you are the maximum difference in the market, but it's a very demanding job. You are talking about a type of research before that, making moves, strategic moves and moving to other types or careers that have a certain flow in the science. And then having those large scale data, we might also be able to test some analysis about what my colleague computational anthropologist might call need a species mobility. So what happened in how Gardner provided advice if we realize that a huge number of people moved from IBM to Gardner. If we realize that there is a big mobility in terms of numbers from some measure, I think we're still doing the science, we might be able to say that something that the office of faith will be interested about. And then we also might want to test about the dynamic between this wider ecology of IT matters players, which is not the only one. For example, I think a lot of consultants are having this science. So these scientists growing bigger, having those large numbers, we will be able to transform those groups. And what we are developing is to use Twitter data to analyze analysis relations event. We are also talking about analysis relations. So I created a part of Gardner, high-end, high-analyst relations to improve their current analysis. And then the one the important assumption which is a differentiator between the UK context of industry analysis is the animal projection because other UK animal technologies are more likely connected. No each other and no analysts and no vendor much better than for example an analyst in the UK. This is a huge differentiator and analysis relations can serve their expertise better if they are able to be explained by. Because if you are an analyst you know that an industry partner by not just Gardner because you have other analysts in the field, you have other analysts in the community and I receive so what do you think of that vendor can get a land by different industries if you are a competent company you should know that there is a diversity of ranking going forward in the IT market and this is this one that you need time to connect knowing the market knowing the time. Another thing that is very important is the by direction of the symmetry of the tension between analyst traditions and analysts Analyst relations should have their job if you go to an analyst because they want to influence other investors but are analysts listening to analysts relations are somehow analysts listening to them returning attention and so using very simple social network measures we have been able to find some evidence which is crucial for the practice one of those measures is to have a collected twitter data which were exchanged under a hashtag which is as we started analysing what happens today in this event so analysing the content of the information under the hashtag and after analysing those data we analyse the relation between how many connections and we still found that there is work for analyst relations to do in order to make the number of links and links that come out from analyst to analyst relations Again, another very simple measure but if you have a main knowledge of a specific topic you can use social media data to provide evidence which is crucial for that for that content and this again come out before that possible without the collaboration between a social scientist myself who spent time in understanding that particular community and a computer scientist who helped me figuring out what was possible to do with the social media that's the example the visualisation of the graph that you get and the quicker data on getting this is a very well known publicly available social network analysis tool and when you see those that are more or less of the same size you can talk about a more horizontal community where there is a reciprocity which might be a very trivial finding but as I said with the main expertise you can make a little social media analysis very very hard now I think I try to come to the conclusions and my conclusion is social media data is a great opportunity but what is fundamental for our business how we want to train people in social media data is understanding how important it is to these things and methods I hope there is a lot of discussion about the data of people having access to a large amount of data but not knowing what to do with that we found extremely helpful to generate purposes through small scale fieldwork study observing the practice understanding what is relevant for a specific community and then as those hypotheses on large scale data without thinking that those are the not the hypotheses that can be relevant you might discover something else but it's really important to manage the economy of people who have access to half those weeks back and another very important way of working with not talking about the data that can be more but working with social media data is that it will be an intensity and we are targeting another thing we are targeting people with expertise we are targeting people with expertise in policy making policy local government and we want them to appreciate and consider the opportunities of social media data offer them without turning them into code phrase data workers that's not our expectation it's very likely to find the knowledge of a specific practice and the ability to work with a complex data and that's not a problem we are not assuming that we are getting the response there we want to work in independent groups and we want to provide expertise with a lot of people to work in those contexts and the way expertise is so important and I think the examples I mentioned before without my scope of colleagues working here with industry analytics we would never have access to this industrial data set to the type 10,000 analysts that was an opportunity finding the right data was an opportunity to see that the whole state could work a project that we undertook before that we could have the interest of social media data finding the right data is a privilege that is given if you don't know if you are afraid of the system contact and then we have the privilege of social scientists where we are not studying physical particles we can ask people what's very much important we can test our offices we can return things to that and so the significance of our study can be tested through which is another great advantage and then from the concept science and technology studies so in science and technology studies there is an interest for expert teams what makes people experts and there is a colleague from from coming of the idea of interactional expertise of course if you are a scientist you have the expertise of analyzing scale data collecting them and using social media to work on them but what we are expecting is to play with people having a different type of expertise which is interactional the expertise to work with people with data science to come up with relevant questions that make sense for data scientists to learn now about data science to learn the remaining expertise that we have in common that can test and interactional expertise is as I said not the expertise that may be a data scientist but the expertise that allows you to come up with them and successfully make a turn for concerns that they can make sense of and we've got to add some time to the questions before we begin to learn the evidence of the data so to talk back to the community has any efforts or issues of universal or even because it's public so the the main the main issue is but it's not always something that's enough to be you for example if you talk about the test mining career then you get to link in the files through an industrial database so you don't get directly on linking but you select the linking files that are available for you to a simple which means a proper link of an industrial partner which gives you that short list of the number of clients under the agreement which allows you to start the project now this is an ongoing experience an ongoing project and we are still under the phase of designing the experiment so we encounter problems with what we need to come up with a survival solution actually the API the API package doesn't allow you to have job profiles so you are left with saving the HTML of the page which is a link so you you cannot be prevented from automatically distributing the HTML of the of the page but you can do it money which is not either it's hard to find people that make the do it for you so we are looking for is anyone looking for link to the type of an agreement which allows to use the profiles of our subset of the content of the page for academic work so yes we are also in loss loss of work and this one I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I 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