Searches , social queries for SOCIAL DATA-ANALYSIS
Search references for SOCIAL DATA-ANALYSIS. Phrases containing SOCIAL DATA-ANALYSIS
See searches and references containing SOCIAL DATA-ANALYSIS!
Search references for SOCIAL DATA-ANALYSIS. Phrases containing SOCIAL DATA-ANALYSIS
See searches and references containing SOCIAL DATA-ANALYSIS!SOCIAL DATA-ANALYSIS
Social data analysis is the data-driven analysis of how people interact in social contexts, often with data obtained from social networking services. The
Social_data_analysis
is used in different business, science, and social science domains. In today's business world, data analysis plays an important role in making decisions
Data_analysis
Analysis of social structures using network and graph theory
Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked
Social_network_analysis
Software which facilitates quantitative or qualitative analysis of social networks
Social network analysis (SNA) software is software which facilitates quantitative or qualitative analysis of social networks, by describing features of
Social network analysis software
Social_network_analysis_software
Methodology for the analysis of video material in social sciences
Video Data Analysis (VDA) is a curated multi-disciplinary collection of tools, techniques, and quality criteria intended for analyzing the content of
Video_Data_Analysis
Process of gathering and analyzing data from social media networks
unstructured social media data to enable informed and insightful decision-making." Social media analysis generally follows three core steps: data identification
Social_media_analytics
2000s shift in human communication
The social data revolution is the shift in human communication patterns towards increased personal information sharing and its related implications, made
Social_data_revolution
Academic area of study and research, combining social science and technology
statistical and other data analysis skills. Social data science employs a wide range of quantitative - both established methods in social science as well as new
Social_data_science
Form of research
gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes
Qualitative_research
Data collected not by the primary user
Secondary data refers to data that is collected by someone other than the primary user. Common sources of secondary data for social science include censuses
Secondary_data
Branch of digital forensics
Forensic data analysis (FDA) is a branch of digital forensics. It examines structured data with regard to incidents of financial crime. The aim is to
Forensic_data_analysis
Unit of information
data Data (computer science) Data acquisition Data analysis Data bank Data cable Data center Data curation Data domain Data element Data farming Data
Data
Method for analysing qualitative data
patterns of meaning (or "themes") within qualitative (Categorical) data. Thematic analysis is often understood as a method or technique in contrast to most
Thematic_analysis
Process of understanding a complex topic or substance
hermeneutic or discourse analysis to interpret the meaning, context, and ideology within texts and artifacts. In the social sciences, analysis frequently employs
Analysis
Grouping a set of objects by similarity
Cluster analysis, or clustering, is a data analysis technique aimed at partitioning a set of objects into groups such that objects within the same group
Cluster_analysis
Academic sub-disciplines
investigating social and behavioral relationships and interactions using data science approaches (such as machine learning or rule-based analysis), network
Computational_social_science
Extremely large or complex datasets
capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data sources. Big data was
Big_data
Techniques to study geometric data
spatial analysis is geospatial analysis, the technique applied to structures at the human scale, most notably in the analysis of geographic data. It may
Spatial_analysis
Gathering information for analysis
questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, and business
Data_collection
such as network analysis, and qualitative approaches, including virtual ethnography. Social change is studied through demographic data or by interpreting
Sociology_of_the_Internet
Analysis of sets of categorical sequences
In social sciences, sequence analysis (SA) is concerned with the analysis of sets of categorical sequences that typically describe longitudinal data. Analyzed
Sequence analysis in social sciences
Sequence_analysis_in_social_sciences
Textual emotion detection method
information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare
Sentiment_analysis
Data combined from several measurements
government maintains social order effectively. For example, governments around the world use of aggregate mobile location data for analysis in response to Covid-19
Aggregate_data
Research conducted by social scientists
elements of both. For example, qualitative data analysis often involves a fairly structured approach to coding raw data into systematic information and quantifying
Social_research
Research method for studying documents and communication artifacts
Examples of texts include photographs, speeches, and essays. Social scientists employ content analysis as a method of examining patterns in communication in
Content_analysis
Qualitative research methodology
research conducted by social scientists. The methodology involves the construction of hypotheses and theories through the analysis of data and inductive reasoning
Grounded_theory
Use of statistical measurement systems to study human behavior in a social environment
people, evaluating a subset of data obtained about a group of people, or by observation and statistical analysis of a set of data that relates to people and
Social_statistics
Sequence of data points over time
series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time
Time_series
Method of data analysis
component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing
Principal_component_analysis
Type of software
aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation
Computer-assisted qualitative data analysis software
Computer-assisted_qualitative_data_analysis_software
Simultaneous observation and analysis of more than one outcome variable
observed data; how they can be used as part of statistical inference, particularly where several different quantities are of interest to the same analysis. Certain
Multivariate_statistics
Process of analyzing large data sets
methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge
Data_mining
Process of using data analysis for predicting population data from sample data
the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis infers properties of
Statistical_inference
Network analysis and visualization package for Microsoft Excel
software contains network visualization, social network analysis features, access to social media network data importers, advanced network metrics, and
NodeXL
Obtaining data from a social media user's content
Social media mining uses concepts from computer science, data mining, machine learning, and statistics. Mining is based on social network analysis, network
Social_media_mining
Chinese-Australian computer scientist
focuses on processing multimedia data, including multimedia information retrieval and multimedia search, social data analysis, and knowledge extraction. She
Zi_Helen_Huang
Social structure made up of a set of social actors
theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major
Social_network
Application software
platform for analyzing and visualizing complex network data, based on Social Network Analysis (SNA). Originally released in 2001, it supports research
NetMiner
Study of human populations and their structures
non-human populations of social actors can change across time through processes of birth, death, and migration. Demographic analysis is used in a wide variety
Demography
All procedures for the numerical representation of empirical facts
a research strategy that focuses on quantifying the collection and analysis of data. It is formed from a deductive approach where emphasis is placed on
Quantitative_research
Collection of data
processing algorithms Categorical data analysis – Data sets used in the book, An Introduction to Categorical Data Analysis, provided online by UCLA Advanced
Data_set
Branch of statistics
survival analysis involves the modelling of time to event data; in this context, death or failure is considered an "event" in the survival analysis literature
Survival_analysis
Science that understands human crowds
a modern commercial use, it can also refer to the analysis of social phenomena with big data. Social physics is closely related to econophysics, which
Social_physics
System to capture, manage, and present geographic data
democratizes access to geographic and social network data. Geospatial intelligence, based on GIS spatial analysis, has also become a key element for security
Geographic_information_system
Public university in Fairborn, Ohio, US
(Semantic Web, Semantic Sensor Web), Network Science, Social Data Analysis, Machine Learning, Data Mining, Bioinformatics, Natural Language Processing,
Wright_State_University
Field of study to extract knowledge from data
a discipline, a workflow, and a profession. Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to
Data_science
Family of functions to transform data
analysis, medical research, modeling of physical processes, geochemical data analysis, epidemiology and many other clinical, environmental and social
Power_transform
Analysis of social and lingual policy, or historiographical discourse phenomena
rather than text structure. Discourse analysis has been taken up in a variety of disciplines in the humanities and social sciences, including linguistics,
Discourse_analysis
Statistical method that summarizes and/or integrates data from multiple sources
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part
Meta-analysis
Statistical method
F.; Galbraith, J.; Moustaki, I. (2008). Analysis of Multivariate Social Science Data. Statistics in the Social and Behavioral Sciences Series (2nd ed.)
Factor_analysis
Study of collection and analysis of data
collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional
Statistics
Emergent scientific field in sociology and statistics
network analysis (DNA) is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA), social simulation
Dynamic_network_analysis
Social platform
develop an open and decentralized standard for social media that would give users more control over their data and experience. Dorsey was inspired by an essay
Bluesky
frameworks, data engineering tools, statistical software, data analysis, plotting, MLOps systems, and more. Cassandra Query Language Data Analysis Expressions
List_of_data_science_software
Program at the University of Pittsburgh
The Qualitative Data Analysis Program (QDAP) was founded in 2005 at the University of Pittsburgh in the University Center for Social and Urban Research
Qualitative Data Analysis Program
Qualitative_Data_Analysis_Program
Misuse of data analysis
Data dredging, also known as data snooping or p-hacking, is the misuse of data analysis to find patterns in data that can be presented as statistically
Data_dredging
Location, size, or scale of a research target
Level of analysis is used in the social sciences to point to the location, size, or scale of a research target. It is distinct from unit of observation
Level_of_analysis
Branch of accounting which investigates financial misconduct and fraud
and data analytics has become a significant part of forensic accounting. Modern practitioners employ machine learning, transaction-pattern analysis, and
Forensic_accounting
Conceptual framework
In sociology, social complexity is a conceptual framework used in the analysis of society. In the sciences, contemporary definitions of complexity are
Social_complexity
Scientific study of human society and relationships
As a social science, sociology uses various methods of empirical investigation and critical analysis to develop a body of knowledge about social order
Sociology
Professional academic association
Network for Social Network Analysis (INSNA) is a professional academic association of researchers and practitioners of social network analysis. INSNA was
International Network for Social Network Analysis
International_Network_for_Social_Network_Analysis
Process of analysing text to extract information from it
text data (i.e., addressing the problem of unstructured data), to determine ideas communicated through text (e.g., sentiment analysis in social media)
Text_mining
Collection of statistical models
of Mendelian Inheritance. His first application of the analysis of variance to data analysis was published in 1921, Studies in Crop Variation I. This
Analysis_of_variance
Study of research methods
sample, collecting data from this sample, and interpreting the data. The study of methods concerns a detailed description and analysis of these processes
Methodology
Statistical measure to determine how suited data is for factor analysis
(KMO) test is a statistical measure to determine how suited data is for factor analysis. The test measures sampling adequacy for each variable in the
Kaiser–Meyer–Olkin_test
Statistical software
(previously Statistical Analysis System[when?]) is a data and artificial intelligence software developed by SAS Institute for data management, advanced analytics
SAS_(software)
Framework used to study social phenomena
volume analysis of universal history, was the first to advance social philosophy and social science in formulating theories of social cohesion and social conflict
Social_theory
Graphic visual representation of information
Cheshire. CT: Graphics Press. John Wilder Tukey (1977). Exploratory Data Analysis. Addison-Wesley. Veszelszki, Ágnes (2014). Information visualization:
Infographic
Academic method applied to the norms and behaviors of a society
As a discipline, cultural analysis is based on using qualitative research methods of the arts, humanities, social sciences, in particular ethnography
Cultural_analysis
In-depth, detailed examination of a particular case
campaign, to an enormous undertaking like world war, or more often the policy analysis of real-world problems affecting multiple stakeholders. Generally, a case
Case_study
Comprehensive review of research literature using systematic methods
meta-analysis"). The distinction between the two is that a meta-analysis uses statistical methods to induce a single number from the pooled data set (such
Systematic_review
of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables.
List of analyses of categorical data
List_of_analyses_of_categorical_data
Branch of statistics
statistical data. Specific mathematical techniques that are commonly used in statistics include mathematical analysis, linear algebra, stochastic analysis, differential
Mathematical_statistics
Algorithmically generated data that have a similar distribution as sampled data
Social Science Micro Data: Synthetic Data and Related Methods. [Powerpoint slides]". Retrieved 17 February 2011. "Statistical Analysis of Masked Data"
Synthetic_data
Statistical model validation technique
techniques for assessing how the results of a statistical analysis will generalize to an independent data set. Cross-validation includes resampling and sample
Cross-validation_(statistics)
American artist and computer researcher (born 1970)
Information Visualization. 2005: Baby Names, Visualization, and Social Data Analysis Martin Wattenberg. IEEE Symposium on Information Visualization. 2004:
Martin_M._Wattenberg
Branch of forensic science
forensic data analysis, and mobile device forensics. The typical forensic process encompasses the seizure, forensic imaging (acquisition), and analysis of digital
Digital_forensics
Security analysis methodology
technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily
Technical_analysis
Statistical concept
When data are MCAR, the analysis performed on the data is unbiased; however, data are rarely MCAR. In the case of MCAR, the missingness of data is unrelated
Missing_data
Form of causal modeling that fit networks of constructs to data
should precede or accompany structural estimates. Viewing factor analysis as a data-reduction technique deemphasizes testing, which contrasts with path
Structural_equation_modeling
Methodology for social science research
problem-solving actions implemented in a collaborative context with data-driven collaborative analysis or research to understand underlying causes enabling future
Action_research
Data analysis technique
correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It
Multiple correspondence analysis
Multiple_correspondence_analysis
Type of data measuring one attribute
industry. Similar to other data, univariate data can be visualized using graphs, images, or other analysis tools after the data is observed/collected, analyzed
Univariate_(statistics)
Branch of the discipline of sociology
social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions
Computational_sociology
Academic field
biological data, the analysis of molecular networks has gained significant interest. The type of analysis in this content are closely related to social network
Network_science
Statistical measure of the magnitude of a phenomenon
fundamental to meta-analysis, which aims to provide the combined effect size based on data from multiple studies. The group of data-analysis methods concerning
Effect_size
Discipline within qualitative research
from the narrative data. Polkinghorne makes the distinction between narrative analysis and analysis of narratives. Narrative analysis utilizes "narrative
Narrative_inquiry
Qualitative data analysis computer software package
responses, journal articles, social media and web content, where deep levels of analysis on small or large volumes of data are required. The software allows
NVivo
Forensic method
Bloodstain pattern analysis (BPA) is a forensic discipline focused on analyzing bloodstains left at known, or suspected crime scenes through visual pattern
Bloodstain_pattern_analysis
Metadata standard in digital media
PCM or ITU-T G.711 μ-law PCM for uncompressed audio data, and IMA-ADPCM for compressed audio data). It does not support JPEG 2000 or GIF encoded images
Exif
Branch of digital forensic science
four phases: acquisition, examination, analysis, and reporting. Investigations are usually performed on static data (i.e., acquired images) rather than "live"
Computer_forensics
Method used in statistics, pattern recognition, and other fields
principal component analysis (PCA) and factor analysis in that they both look for linear combinations of variables which best explain the data. LDA explicitly
Linear_discriminant_analysis
Statistical considerations on how many observations to make
Statistics for the social and behavioral sciences. Boston: Little, Brown. ISBN 978-0-316-48915-7. Cohen, J. (1987), Statistical Power Analysis, 2nd edition
Sample_size_determination
Virtual online communities
content and participate in social networking. User-generated content such as text posts or comments, digital photos or videos, and data generated through online
Social_media
Behavioral analytics technique
Cohort analysis is a kind of behavioral analytics that breaks the data in a data set into related groups before analysis. These groups, or cohorts, usually
Cohort_analysis
Social media platform
a social media and social intelligence platform for enterprises, brands, and celebrities. Its technology performs social data analysis across social networking
Sumazi
Comparison of two distributions
Paul (1983), Graphical methods for data analysis, Wadsworth Cleveland, W.S. (1994) The Elements of Graphing Data, Hobart Press ISBN 0-9634884-1-4 Filliben
Q–Q_plot
Information delivered immediately after collection
also be stored for later or off-line data analysis. Real-time data is not the same as dynamic data. Real-time data can be dynamic (e.g. a variable indicating
Real-time_data
Method of analyzing large data sets
agriculture, social network analysis and the food industry. Multiway data analysts use the term way to refer to the number sources of data variation while
Multiway_data_analysis
Branch of analytics
Analytics is the use of intelligent data, learner-produced data, and analysis models to discover information and social connections for predicting and advising
Learning_analytics
travel, tourism, insurance
SOCIAL DATA-ANALYSIS
SOCIAL DATA-ANALYSIS
SOCIAL DATA-ANALYSIS
SOCIAL DATA-ANALYSIS
SOCIAL DATA-ANALYSIS
SOCIAL DATA-ANALYSIS
SOCIAL DATA-ANALYSIS
SOCIAL DATA-ANALYSIS
SOCIAL DATA-ANALYSIS
travel, tourism, insurance