Invited talk given by Tim Evans (Imperial College London) at the EPSRC Workshop on "Scaling in Social Systems” held at the Saïd Business School, Oxford on 1st December 2011. Abstract:

The pattern of innovation seen through citations of academic papers has long fascinated academics. It has been known for at least fifty years that the data shows various long tailed distributions. In this talk I will look at some of the features of the data and show how to extract some simple universal patterns. I will discuss some of the implications of the results and some of the further questions it raises. •What is a citation? •What does an individual citation mean? •Is the data perfect? •Why citation count? •If not citation count, what else? •What does this data say about me? •Why h-index? •What is a self-citation? •How else can I use this data? •How will things change?

Tim S. Evans – Mini Biography Tim studied the mixture of quantum field theory and statistical physics in his PhD at Imperial College London. He was supervised by Prof. Ray Rivers who also supervised another speaker, Prof. Luis Bettencourt. Tim then spent time as a researcher at the University of Alberta in Edmonton Canada, before returning to research positions back here at Imperial, latterly as a Royal Society University Research Fellow. He was appointed to a lectureship at Imperial in 1997. Around 2003 he expanded his work on statistical physics to cover at problems in complexity, with a particular interest in network methods. This has included participation in an EU collaboration with social scientists on innovation, ―ISCOM, run in part by Prof. Geoff West (another speaker today). This fuelled his interest in social science applications and started an on going collaboration with an archaeologist.

The German Library Statistics (DBS) is the national statistics of the German library system and contains statistical key figures. It includes public libraries, scientific libraries, as well as specialized scientific libraries. More information can be found at DBS. This dataset contains the following information on academic libraries in Bavaria in 2014: Total expenditure, total expenditure, including: Expenditure on printed books, total expenditure, including: Expenditure on current printed periodicals and newspapers, access: printed books, stock: purchased, continuously held, printed magazines and newspapers

The German Library Statistics (DBS) is the national statistics of the German library system and contains statistical key figures. It includes public libraries, scientific libraries, as well as specialized scientific libraries. More information can be found at DBS. This dataset contains the following information on scientific libraries in Bavaria in 2021: Total expenditure, total expenditure, including: Expenditure on printed books, total expenditure, including: Expenditure on current printed periodicals and newspapers, access: printed books, stock: purchased, continuously held, printed magazines and newspapers Note: Due to the pandemic, the data for the reporting years 2020/2021/2022 are only comparable to a limited extent with those of previous years!

The German Library Statistics (DBS) is the national statistics of the German library system and contains statistical key figures. It includes public libraries, scientific libraries, as well as specialized scientific libraries. More information can be found at DBS. This dataset contains the following information on academic libraries in Bavaria in 2023: Total expenditure, total expenditure, including: Expenditure on printed books, total expenditure, including: Expenditure on current printed periodicals and newspapers, access: printed books, stock: purchased, continuously held, printed magazines and newspapers

This dataset is about books. It has 1 row and is filtered where the book is Sociology and statistics in Britain, 1833-1979. It features 7 columns including author, publication date, language, and book publisher.

Data associated with the paper: Who Tweets with Their Location? Understanding the Relationship Between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter Luke Sloan & Jeffrey Morgan

A collection of over 75 charts and maps presenting key statistics on the farm sector, food spending and prices, food security, rural communities, the interaction of agriculture and natural resources, and more.

How much do you know about food and agriculture? What about rural America or conservation? ERS has assembled more than 75 charts and maps covering key information about the farm and food sectors, including agricultural markets and trade, farm income, food prices and consumption, food security, rural economies, and the interaction of agriculture and natural resources.

How much, for example, do agriculture and related industries contribute to U.S. gross domestic product? Which commodities are the leading agricultural exports? How much of the food dollar goes to farmers? How do job earnings in rural areas compare with metro areas? How much of the Nation’s water is used by agriculture? These are among the statistics covered in this collection of charts and maps—with accompanying text—divided into the nine section titles.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for sociology and applied statistics in the U.S.

The statistic contains data on the U.S. book publishing in the category 'sociology/economics' from 2002 to 2013. In 2006, ****** books covering socio-economic topics were published in the United States.

Financial overview and grant giving statistics of Eastern Sociological Society Inc. Dept of Sociology Park 420

This database compiles secondary data originating from the National Statistical Offices of Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan.

The database includes information about major agricultural statistics such as structure of the agricultural sector, land use, livestock numbers, production of most important crops and livestock outputs as well as size of population at the level of provinces (oblasts). Most land use and production data are available for the three farm types, agricultural enterprises, individual farms, and households, and in aggregated form. Time coverage ranges from 1992 to 2017 (with few statistics additionally for 1991 and 2018), with some gaps in early years after independence.

The database is a product of the research project "ANICANET – Revitalising animal husbandry in Central Asia: A five-country analysis".

keywords: Agricultural production, Agrarian reform, Climate change, Animal husbandry, farm, agriculture job, agricultural population, agrarian society, rural sociology, agronomy, agrarian structure, Central Asia, climate change

Research methods and advanced statistical analysis ارجحیت متدلوژی بی نقص بر آنالیزآماری پیشرفته

Data extracted from the user, event and group profile for delegates in the 9th R users conference in Spain

Financial overview and grant giving statistics of Association For The Sociology Of Religion Inc

Analysis of structure, intensity, course and results of persecution of non-political fringe groups in the Third Reich as well as the connection of this persecution with the rule structures of German fascism. Topics: Date of birth, concentration camp, incarceration date, command, end of KZ-detention, manner of end, death, special position, occupation, religion, marital status, children, criminal law paragraph, length of previous convictions, length of police detention, reason for incarceration, place of incarceration. Analyse von Struktur, Intensität, Verlauf und Ergebnisse der Verfolgung nicht-politischer Randgruppen im Dritten Reich sowie des Zusammenhangs dieser Verfolgung mit den Herrschaftsstrukturen des deutschen Faschismus. Themen: Geburtsdatum, Konzentrationslager, Einweisungsdatum, Kommando, Ende der KZ-Haft, Schlussart, Tod, Sonderstellung, Beruf, Religion, Familienstand, Kinder, Strafrechtsparagraph, Dauer der Vorstrafen, Dauer der Polizeihaft, Einlieferungsgrund, Einlieferungsstelle. Sources: KZ-registers (census); survey of contemporaries. Quellen: KZ-Registraturen (Totalerhebung); Zeitzeugenbefragung.

Financial overview and grant giving statistics of The Association For Humanist Sociology Inc

Financial overview and grant giving statistics of North American Society for the Sociology of Sport

Reflecting growing emphasis on data analysis and statistical thinking in the information age, mathematics curriculum standards in the U.S. have recently increased expectations for student learning in the domain of statistics and probability. More than 180 teachers in 36 public school districts in Florida applied for a two-week summer institute designed to increase teachers’ content and pedagogical content knowledge in statistics and probability. Individual teachers were assigned at random to a treatment or business-as-usual comparison group. The two-week institute increased teachers’ knowledge of statistics. Data analyses identified an interaction between years of teaching experience and treatment, indicating that the teachers with more than 10 years of experience had larger knowledge gains than their less-experienced peers. These results underscore the need for professional development for teachers so that they may implement policies emphasizing this branch of the mathematical sciences in the secondary mathematics curriculum. Given the observed lower baseline knowledge scores for teachers with more years of teaching experience, we posit these implications are particularly applicable to teachers who completed their own formal education more than 10 years ago.

Explore the progression of average salaries for graduates in Sociology And Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Sociology And Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Sociology And Statistics, providing a clear picture of financial prospects post-graduation.

We study the problem of nonparametric dependence detection. Many existing methods suffer severe power loss due to non-uniform consistency, which we illustrate with a paradox. To avoid such power loss, we approach the nonparametric test of independence through the new framework of binary expansion statistics (BEStat) and binary expansion testing (BET), which examine dependence through a novel binary expansion filtration approximation of the copula. Through a Hadamard transform, we find that the symmetry statistics in the filtration are complete sufficient statistics for dependence. These statistics are also uncorrelated under the null. By utilizing symmetry statistics, the BET avoids the problem of non-uniform consistency and improves upon a wide class of commonly used methods (a) by achieving the minimax rate in sample size requirement for reliable power and (b) by providing clear interpretations of global relationships upon rejection of independence. The binary expansion approach also connects the symmetry statistics with the current computing system to facilitate efficient bitwise implementation. We illustrate the BET with a study of the distribution of stars in the night sky and with an exploratory data analysis of the TCGA breast cancer data.