hrvatski

RACOSS Research activity, collaboration and orientation in social sciences in Croatia
and other post-socialist European countries (RACOSS) – IP-09-2014-9351





   ABOUT PROJECT


   EDUCATION


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   RESULTS


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EDUCATION

Course Title: Advanced Data Analysis

Duration: 3.3.2018.-27.6.2018.

Place: Online course

Ograniser: Udacity, Inc.

Knowledge gained: Exploratory Data Analysis, Data Wrangling, Data Story Telling




Course Title: Data Analysis with Python and SQL

Duration: 14.11.2017.-3.3.2018.

Place: Online course

Ograniser: Udacity, Inc.

Knowledge gained: Introduction to Python, Introduction to Data Analysis, Practical Statistics




Course Title: Programer internet aplikacija – C# i ASP.NET

Duration: 23.10.2017.-2.2.3018.

Place: Zagreb, Croatia

Ograniser: Algebra

Knowledge gained: building .NET Internet applications by using Visual Studio development environment. Object-oriented programming using C# via Model-View-Controller (MVC) software arhitecture pattern.




Workshop title: Bibliometric Network Analysis and Science Mapping Using VOSviewer

Organiser: Centre for Science and Technology Studies (CWTS)

Time: April 6th-7th 2017

Duration: 2 days

Place: Leiden, Netherlands

Lecturers: Ludo Waltman, Nees Jan van Eck

The content of the workshop:

This course was an introduction into bibliometric network analysis and science mapping, with a special emphasis on the VOSviewer software (www.vosviewer.com) developed at Leiden University’s Centre for Science and Technology Studies (CWTS). The main techniques for bibliometric network analysis and science mapping were introduced. Special attention is paid to applications in a research evaluation and science policy context. It was an opportunity to practice extensively with the VOSviewer software and to explore functionalities in detail. In addition, it was an opportunity to practice with CitNetExplorer, a new bibliometric network analysis tool available at www.citnetexplorer.nl.

Participants: Workshop was attended by 11 participants, from Belgium, Croatia (Stjepan Mateljan, Institute for Social Research in Zagreb), Denmark, France, Germany, Netherlands, Sweden and United Kingdom.

Knowledge obtained in the course will be applied in research regarding the project, as well as to other scientometric analysis.




Workshop title: Advanced Citation Analysis

Organiser: Centre for Science and Technology Studies (CWTS)

Time: April 4th-5th 2017

Duration: 2 days

Place: Leiden, Netherlands

Lecturers: Ludo Waltman, Martijn Visser, Alex Rushforth

The content of the workshop:

The course focused on all important aspects of calculating and interpreting advanced citation statistics, including field normalization, counting methods (full and fractional counting), and journal impact metrics (impact factor, Eigenfactor, SNIP). It also offered an in-depth insight into the differences between Web of Science and Scopus, the two most important bibliographic databases.
In addition to these technical topics, the course further payed attention to the uses of citation analysis in research assessment contexts and to the intended and unintended consequences that the use of citation analysis may have. Additional focus was in particular on university rankings (CWTS Leiden Ranking) and on citation analysis at the level of individual researchers.

Participants: Workshop was attended by 10 participants, from Belgium, Croatia (Stjepan Mateljan, Institute for Social Research in Zagreb), Denmark, France, Netherlands, United States od America, Sweden and United Arab Emirates.

Knowledge obtained in the course will be applied in research regarding the project, as well as to other scientometric analysis.




Workshop title: The Issue of Content Analysis

Time: 13th December 2016

Place: Zagreb, The Institute for Social Research, Amruševa 11

Duration: 1 hour

Lecturer: dr. des. Boris Stamenić

Participants: Collaborators on RACOSS project

Goal: Presentation of the methodological and theoretical framework of the qualitative content analysis as a complement method to the interpretation of quantitative data in the construction of the comprehensive pattern of the position and orientation of research in the social sciences in 15 European post-socialist countries.

Presentation




Workshop title: Introduction to social network analysis and ego network analysis

Time: 27. 4. 2016.

Place: The Institute for Social Research, Amruševa 8, Zagreb, Croatia

Duration: 2 hours

Lecturer: Srebrenka Letina, PhD

Participants: collaborators on RACOSS project and interested researchers not involved in the project

Goal: Outline of methodological and theoretical foundations of network approach in social sciences with emphasis on the methods, concepts and research related to activities and goals of the RACOSS project. The additional goal was to introduce to all interested parties a research framework that can be fruitfully used in their research work in general.

Content of the workshop:

The workshop was organized in two parts: introduction to social network analysis and ego network analysis.

PART ONE

What is network approach/ social network analysis (SNA)?
Short history of SNA
Methodology of SNA
The potential and difficulties in doing social network research
Two kind of social network research

PART TWO

Ego network analysis
Research examples

In the first part of the workshop the participants were introduced with foundations of network approach, starting from the specificities of the research paradigm and short overview of its historical roots, to the potential it offers in research of various research subjects. The main ideas of the paradigm were presented with the emphasis on methodological aspect in planning and conducting the research. The starting point was presentation of network approach as study of relationship among defined group of entities. The specific considerations and unique elements of social network research were highlighted through the descriptions of important research decisions (steps). The visualisations of social networks from different research in social sciences were used, including the co-authorship networks of scientists in three fields of social sciences in Croatia from 1992 to 2012. The first part ended with a critical overview on difficulties in the realisation of social network research and with the overview of the recent advances in the statistical analysis of network research hypotheses.

In the second part of the workshop the subject was the specific kind of network study – ego network research. Ego network research design will be used in several elements of RACOSS project, so the goal was to point out the differences between this and whole network research design. The latter will be used in the project for the analysis of co-authorship data. The basic elements of ego network design and its theoretical rationale were explained (e.g. data collection, ego network measures, statistical analysis of the data). This part was illustrated by the research examples from previous studies related with the research goals of RACOSS project, but conducted in different social contexts (that is, different countries).

At the end of the workshop, participant discussed about the role, potential and difficulties, but also possible solutions of these difficulties in the application of this framework in the RACOSS project.




The title of the workshop: EgoWeb 2.0: Flexible Social Network Data Collection Software

Organiser: International network for social network analysis (INSNA)

Date: April, 5th, 2016, 8:00am-11:00am

Duration: 1-session (3-hour) format

Place: Newport Beach, California, USA

Instructors: David Kennedy (RAND Corporation), davidk@rand.org
Marie Kennedy (Loyola Marymount University)

The content of the workshop:

In this workshop, attendees learned to use EgoWeb 2.0, an open-source and freely available software option for network data collection, administration, and analysis for a variety of data collection modes. Attendees of the workshop learned to create and author data collection instruments that can be administered on laptops, mobile tablets, or over the web. It can be used to collect personal network data as well as complete and cognitive networks.
Attendees of this workshop learned to program surveys that ask questions about network alters generated from scratch or that generate responses about alters chosen from a roster. EgoWeb has flexible skip-logic capabilities and a variety of question presentation options to reduce the respondent burden that is typical of social network interviews. EgoWeb also provides instant visualization of network data collected during an interview to facilitate exploratory/ qualitative data collection about a personal network. EgoWeb provides basic analysis output and exports data in a simple format for analysis in standard network analysis packages such as R.
Additional EgoWeb 2.0 information can be found at egoweb.info and www.rand.org/methods/egoweb

The material learned and its relation to the project:

In the project we are planning to use ego network approach, among other approaches (whole network approach through co-authorship data) when investigating collaboration pattern among scientists in social science in 15 European countries. This workshop provided knowledge how to construct, generate and collect data efficiently. It presented one of the newest of many possible ways to conduct an ego network study.




The title of the workshop: Agent-based Models in Social Network Analysis Using Netlogo

Organiser: International network for social network analysis (INSNA)

Date: April 5th, 2016 3:00pm - 9:30pm

Duration: 2 sessions (6 hours)

Place: Newport Beach, California, USA

Instructors: Dr. Wouter Vermeer (Center for Connected Learning and Computer-Based Modeling, Northwestern University), Wouter.vermeer@northwestern.edu
Arthur Hjorth (Center for Connected Learning and Computer-Based Modeling, Northwestern University), Arthur.hjorth@u.northwestern.edu

The content of the workshop:

Netlogo (http://ccl.northwestern.edu/netlogo/) is a free, open source, modeling environment for simulating natural and social phenomena, authored by Prof. Wilensky, and it is currently the most cited agent-based modeling language in social sciences. Ever since its conception in 1999, the Center for Connected Learning and Computer-Based Modeling (CCL) has continuously developed new language features and extensions to Netlogo.
Netlogo models, and agent-based models in general, are well suited for studying complex systems over time, and for doing scenario analyses. Modelers can give instructions to hundreds or thousands of "agents" all operating independently. This makes it possible to explore the connection between the micro-level behavior of individuals and the macro-level patterns that emerge from their interaction.

The material learned and its relation to the project:

In the workshop we learn to elaborate on the use of Netlogo and adopt a practical, hands on workshop approach, in which participants are encouraged to provide their own research questions and data.
The emphasis was on providing the support to new and current users for effectively integrating Netlogo in their research.
In the project we are studying the co-authorship networks among individual scientists, but also among groups of scientists (grouped by country, and science field) that develop through time. When analysing collected data, using agent based models can provide us with a model against which we will be able to compare observed networks, and therefore arrive at some conclusions about the mechanisms of the collaboration networks on different level of the analysis. The potential of this approach lies in the development and testing specific research hypotheses about the emergence of the collaboration network structure.

Link: http://insna.org/sunbelt2016/




SIENA Winter School – Longitudinal analysis of social networks

Dr. sc. Srebrenka Letina attended SIENA Winter School – Longitudinal analysis of social networks, 15-19.02.2016. Workshop was organized by: ETH Zurich, Department of Humanities, Social and Political Sciences, Chair of Social Networks.

 

Zurich - SIENA Winter School

The picture shows participants and teachers of Siena winter school in Zurich, Februray, 2016.

Workshop introduced participants to the analysis of longitudinal, group-centered network data by way of stochastic, actor-based models, using the program RSiena. The winter school was taught by Per Block, Zsofia Boda and Christoph Stadtfeld with Tom Snijders.

Content of workshop by specific topics: Introduction to SIENA and R software, Estimation strategies, Selection and Influence Models, Model selection, Two-Mode networks, Network co-evolution, Comparison with other statistical methods, and Multi-group analysis.

More at:

http://www.social-networks.ethz.ch/education/siena-winterschool-on-longitudinal-social-network-analysis.html.