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NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH 1.3 Special constants. Special constants include: NA for missing or undefined data; NULL for empty object (e.g. null/empty lists); Inf and -Inf for positive and negative infinity; NaN for results that cannot be reasonably defined # NA - missing or undefined data 5 + NA # When used in an expression, the result is generally NA is.na(5+NA) # Check if missing # NULL - an empty object, e.g. a null NETWORK ANALYSIS WITH R AND IGRAPH: NETSCI X TUTORIAL Get the tutorial PDF and code, or download on GithHub.A more recent tutorial covering network basics with R and igraph is available here.. If you find the materials useful, please cite them in your work – this helps me make the case that open publishing of digital materials like this is a meaningful academic contribution: Ognyanova, K. (2016) Network analysis with R and igraph: NetSci X BASIC AND ADVANCED NETWORK VISUALIZATION WITH R Basic and advanced network visualization with R Katherine Ognyanova,www.kateto.net Sunbelt 2016 Workshop, Newport Beach, CA Contents Introduction: Network Visualization2 NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2017 Workshop, Columbus, OH Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2 Colors and fonts in R4 INTRO MATERIALS: NETWORK ANALYSIS SOFTWARE (UCINET, NODEXL In the fall of 2012, I got to design & lead the weekly labs for a network seminar at USC.I also worked on the methods portion of the syllabus for the class. COMM 645: Communication Networks is a PhD-level course taught by Peter Monge.The labs cover a range of network tools – from the classic UCINET program through NodeXL and Gephi, to R introduction, Statnet, exponential random graph and NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH Vectorelements: v1 # third element of v1 v1 # elements 2, 3, 4 of v1 v1 # elements 1 and 3 - note that your indexes are a vectorv1 # elements 1 and 2 - only the ones that are TRUEv1 # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upsetpeople used to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATABLOGBIORESEARCHPUBLICATIONSTEACHINGTUTORIALS Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication. STATIC AND DYNAMIC NETWORK VISUALIZATION WITH R Static and dynamic network visualization with R. This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; andvisualizing
NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH 1.3 Special constants. Special constants include: NA for missing or undefined data; NULL for empty object (e.g. null/empty lists); Inf and -Inf for positive and negative infinity; NaN for results that cannot be reasonably defined # NA - missing or undefined data 5 + NA # When used in an expression, the result is generally NA is.na(5+NA) # Check if missing # NULL - an empty object, e.g. a null NETWORK ANALYSIS WITH R AND IGRAPH: NETSCI X TUTORIAL Get the tutorial PDF and code, or download on GithHub.A more recent tutorial covering network basics with R and igraph is available here.. If you find the materials useful, please cite them in your work – this helps me make the case that open publishing of digital materials like this is a meaningful academic contribution: Ognyanova, K. (2016) Network analysis with R and igraph: NetSci X BASIC AND ADVANCED NETWORK VISUALIZATION WITH R Basic and advanced network visualization with R Katherine Ognyanova,www.kateto.net Sunbelt 2016 Workshop, Newport Beach, CA Contents Introduction: Network Visualization2 NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2017 Workshop, Columbus, OH Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2 Colors and fonts in R4 INTRO MATERIALS: NETWORK ANALYSIS SOFTWARE (UCINET, NODEXL In the fall of 2012, I got to design & lead the weekly labs for a network seminar at USC.I also worked on the methods portion of the syllabus for the class. COMM 645: Communication Networks is a PhD-level course taught by Peter Monge.The labs cover a range of network tools – from the classic UCINET program through NodeXL and Gephi, to R introduction, Statnet, exponential random graph and NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH Vectorelements: v1 # third element of v1 v1 # elements 2, 3, 4 of v1 v1 # elements 1 and 3 - note that your indexes are a vectorv1 # elements 1 and 2 - only the ones that are TRUEv1 # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upsetpeople used to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATA Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication. NETWORK SCIENCE TUTORIALS Introduction to R for Networks. This tutorial provides an introduction to the R language and its use to process and analyze network data. It includes an overview of network formats, input and cleaning of network data, and key graph metrics. The tutorial also covers basics of network visualization in R. Most recent version: 04/2018 (Rutgers BIO BRIEF - KATYA OGNYANOVA Bio Brief Download my CV (PDF) Visit my Linkedin profile Visit my ORCiD profile Visit my Publons profile Current and past research projects Recent works and publications Pronouncing “Ognyanova” Rutgers University Faculty (2015-present) Associate Professor: Department of Communication School of Communication and Information, Rutgers University. Instructor: Introduction to Social Media, BA NETWORK ANALYSIS WITH R AND IGRAPH: NETSCI X TUTORIAL Get the tutorial PDF and code, or download on GithHub.A more recent tutorial covering network basics with R and igraph is available here.. If you find the materials useful, please cite them in your work – this helps me make the case that open publishing of digital materials like this is a meaningful academic contribution: Ognyanova, K. (2016) Network analysis with R and igraph: NetSci X NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH Vectorelements: v1 # third element of v1 v1 # elements 2, 3, 4 of v1 v1 # elements 1 and 3 - note that your indexes are a vectorv1 # elements 1 and 2 - only the ones that are TRUEv1 # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upsetpeople used to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZAITON WITH GEPHI TABLE OF CONTENTS SUNBELT 2016 GEPHI WORKSHOP HANDOUT – FIND UPDATED VERSIONS ON WWW.KATETO.NET 5 GEPHI INTERFACE: MAJOR SECTIONS Overview Tab: Calculate network and node measures, change visual properties and generally set up the network visualization. This is where you do most of the work: resizing, coloring, and laying out the nodes and edges. NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2018 Workshop, Washington, DC Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2Colors in R plots5
NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATABLOGBIORESEARCHPUBLICATIONSTEACHINGTUTORIALS Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication. STATIC AND DYNAMIC NETWORK VISUALIZATION WITH R Static and dynamic network visualization with R. This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; andvisualizing
NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH 1.3 Special constants. Special constants include: NA for missing or undefined data; NULL for empty object (e.g. null/empty lists); Inf and -Inf for positive and negative infinity; NaN for results that cannot be reasonably defined # NA - missing or undefined data 5 + NA # When used in an expression, the result is generally NA is.na(5+NA) # Check if missing # NULL - an empty object, e.g. a null NETWORK ANALYSIS WITH R AND IGRAPH: NETSCI X TUTORIAL Get the tutorial PDF and code, or download on GithHub.A more recent tutorial covering network basics with R and igraph is available here.. If you find the materials useful, please cite them in your work – this helps me make the case that open publishing of digital materials like this is a meaningful academic contribution: Ognyanova, K. (2016) Network analysis with R and igraph: NetSci X BASIC AND ADVANCED NETWORK VISUALIZATION WITH R Basic and advanced network visualization with R Katherine Ognyanova,www.kateto.net Sunbelt 2016 Workshop, Newport Beach, CA Contents Introduction: Network Visualization2 NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2017 Workshop, Columbus, OH Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2 Colors and fonts in R4 INTRO MATERIALS: NETWORK ANALYSIS SOFTWARE (UCINET, NODEXL In the fall of 2012, I got to design & lead the weekly labs for a network seminar at USC.I also worked on the methods portion of the syllabus for the class. COMM 645: Communication Networks is a PhD-level course taught by Peter Monge.The labs cover a range of network tools – from the classic UCINET program through NodeXL and Gephi, to R introduction, Statnet, exponential random graph and NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH Vectorelements: v1 # third element of v1 v1 # elements 2, 3, 4 of v1 v1 # elements 1 and 3 - note that your indexes are a vectorv1 # elements 1 and 2 - only the ones that are TRUEv1 # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upsetpeople used to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATABLOGBIORESEARCHPUBLICATIONSTEACHINGTUTORIALS Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication. STATIC AND DYNAMIC NETWORK VISUALIZATION WITH R Static and dynamic network visualization with R. This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; andvisualizing
NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH 1.3 Special constants. Special constants include: NA for missing or undefined data; NULL for empty object (e.g. null/empty lists); Inf and -Inf for positive and negative infinity; NaN for results that cannot be reasonably defined # NA - missing or undefined data 5 + NA # When used in an expression, the result is generally NA is.na(5+NA) # Check if missing # NULL - an empty object, e.g. a null NETWORK ANALYSIS WITH R AND IGRAPH: NETSCI X TUTORIAL Get the tutorial PDF and code, or download on GithHub.A more recent tutorial covering network basics with R and igraph is available here.. If you find the materials useful, please cite them in your work – this helps me make the case that open publishing of digital materials like this is a meaningful academic contribution: Ognyanova, K. (2016) Network analysis with R and igraph: NetSci X BASIC AND ADVANCED NETWORK VISUALIZATION WITH R Basic and advanced network visualization with R Katherine Ognyanova,www.kateto.net Sunbelt 2016 Workshop, Newport Beach, CA Contents Introduction: Network Visualization2 NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2017 Workshop, Columbus, OH Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2 Colors and fonts in R4 INTRO MATERIALS: NETWORK ANALYSIS SOFTWARE (UCINET, NODEXL In the fall of 2012, I got to design & lead the weekly labs for a network seminar at USC.I also worked on the methods portion of the syllabus for the class. COMM 645: Communication Networks is a PhD-level course taught by Peter Monge.The labs cover a range of network tools – from the classic UCINET program through NodeXL and Gephi, to R introduction, Statnet, exponential random graph and NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH Vectorelements: v1 # third element of v1 v1 # elements 2, 3, 4 of v1 v1 # elements 1 and 3 - note that your indexes are a vectorv1 # elements 1 and 2 - only the ones that are TRUEv1 # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upsetpeople used to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATA Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication. NETWORK SCIENCE TUTORIALS Introduction to R for Networks. This tutorial provides an introduction to the R language and its use to process and analyze network data. It includes an overview of network formats, input and cleaning of network data, and key graph metrics. The tutorial also covers basics of network visualization in R. Most recent version: 04/2018 (Rutgers BIO BRIEF - KATYA OGNYANOVA Bio Brief Download my CV (PDF) Visit my Linkedin profile Visit my ORCiD profile Visit my Publons profile Current and past research projects Recent works and publications Pronouncing “Ognyanova” Rutgers University Faculty (2015-present) Associate Professor: Department of Communication School of Communication and Information, Rutgers University. Instructor: Introduction to Social Media, BA NETWORK ANALYSIS WITH R AND IGRAPH: NETSCI X TUTORIAL Get the tutorial PDF and code, or download on GithHub.A more recent tutorial covering network basics with R and igraph is available here.. If you find the materials useful, please cite them in your work – this helps me make the case that open publishing of digital materials like this is a meaningful academic contribution: Ognyanova, K. (2016) Network analysis with R and igraph: NetSci X NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH Vectorelements: v1 # third element of v1 v1 # elements 2, 3, 4 of v1 v1 # elements 1 and 3 - note that your indexes are a vectorv1 # elements 1 and 2 - only the ones that are TRUEv1 # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upsetpeople used to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZAITON WITH GEPHI TABLE OF CONTENTS SUNBELT 2016 GEPHI WORKSHOP HANDOUT – FIND UPDATED VERSIONS ON WWW.KATETO.NET 5 GEPHI INTERFACE: MAJOR SECTIONS Overview Tab: Calculate network and node measures, change visual properties and generally set up the network visualization. This is where you do most of the work: resizing, coloring, and laying out the nodes and edges. NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2018 Workshop, Washington, DC Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2Colors in R plots5
NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATABLOGBIORESEARCHPUBLICATIONSTEACHINGTUTORIALS Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication. STATIC AND DYNAMIC NETWORK VISUALIZATION WITH R Static and dynamic network visualization with R. This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; andvisualizing
NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH 1.3 Special constants. Special constants include: NA for missing or undefined data; NULL for empty object (e.g. null/empty lists); Inf and -Inf for positive and negative infinity; NaN for results that cannot be reasonably defined # NA - missing or undefined data 5 + NA # When used in an expression, the result is generally NA is.na(5+NA) # Check if missing # NULL - an empty object, e.g. a null NETWORK ANALYSIS WITH R AND IGRAPH: NETSCI X TUTORIAL Get the tutorial PDF and code, or download on GithHub.A more recent tutorial covering network basics with R and igraph is available here.. If you find the materials useful, please cite them in your work – this helps me make the case that open publishing of digital materials like this is a meaningful academic contribution: Ognyanova, K. (2016) Network analysis with R and igraph: NetSci X BASIC AND ADVANCED NETWORK VISUALIZATION WITH R Basic and advanced network visualization with R Katherine Ognyanova,www.kateto.net Sunbelt 2016 Workshop, Newport Beach, CA Contents Introduction: Network Visualization2 NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2017 Workshop, Columbus, OH Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2 Colors and fonts in R4 INTRO MATERIALS: NETWORK ANALYSIS SOFTWARE (UCINET, NODEXL In the fall of 2012, I got to design & lead the weekly labs for a network seminar at USC.I also worked on the methods portion of the syllabus for the class. COMM 645: Communication Networks is a PhD-level course taught by Peter Monge.The labs cover a range of network tools – from the classic UCINET program through NodeXL and Gephi, to R introduction, Statnet, exponential random graph and NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH Vectorelements: v1 # third element of v1 v1 # elements 2, 3, 4 of v1 v1 # elements 1 and 3 - note that your indexes are a vectorv1 # elements 1 and 2 - only the ones that are TRUEv1 # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upsetpeople used to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZAITON WITH GEPHI TABLE OF CONTENTS SUNBELT 2016 GEPHI WORKSHOP HANDOUT – FIND UPDATED VERSIONS ON WWW.KATETO.NET 5 GEPHI INTERFACE: MAJOR SECTIONS Overview Tab: Calculate network and node measures, change visual properties and generally set up the network visualization. This is where you do most of the work: resizing, coloring, and laying out the nodes and edges. KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATABLOGBIORESEARCHPUBLICATIONSTEACHINGTUTORIALS Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication. STATIC AND DYNAMIC NETWORK VISUALIZATION WITH R Static and dynamic network visualization with R. This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; andvisualizing
NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH 1.3 Special constants. Special constants include: NA for missing or undefined data; NULL for empty object (e.g. null/empty lists); Inf and -Inf for positive and negative infinity; NaN for results that cannot be reasonably defined # NA - missing or undefined data 5 + NA # When used in an expression, the result is generally NA is.na(5+NA) # Check if missing # NULL - an empty object, e.g. a null NETWORK ANALYSIS WITH R AND IGRAPH: NETSCI X TUTORIAL Get the tutorial PDF and code, or download on GithHub.A more recent tutorial covering network basics with R and igraph is available here.. If you find the materials useful, please cite them in your work – this helps me make the case that open publishing of digital materials like this is a meaningful academic contribution: Ognyanova, K. (2016) Network analysis with R and igraph: NetSci X BASIC AND ADVANCED NETWORK VISUALIZATION WITH R Basic and advanced network visualization with R Katherine Ognyanova,www.kateto.net Sunbelt 2016 Workshop, Newport Beach, CA Contents Introduction: Network Visualization2 NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2017 Workshop, Columbus, OH Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2 Colors and fonts in R4 INTRO MATERIALS: NETWORK ANALYSIS SOFTWARE (UCINET, NODEXL In the fall of 2012, I got to design & lead the weekly labs for a network seminar at USC.I also worked on the methods portion of the syllabus for the class. COMM 645: Communication Networks is a PhD-level course taught by Peter Monge.The labs cover a range of network tools – from the classic UCINET program through NodeXL and Gephi, to R introduction, Statnet, exponential random graph and NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH Vectorelements: v1 # third element of v1 v1 # elements 2, 3, 4 of v1 v1 # elements 1 and 3 - note that your indexes are a vectorv1 # elements 1 and 2 - only the ones that are TRUEv1 # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upsetpeople used to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZAITON WITH GEPHI TABLE OF CONTENTS SUNBELT 2016 GEPHI WORKSHOP HANDOUT – FIND UPDATED VERSIONS ON WWW.KATETO.NET 5 GEPHI INTERFACE: MAJOR SECTIONS Overview Tab: Calculate network and node measures, change visual properties and generally set up the network visualization. This is where you do most of the work: resizing, coloring, and laying out the nodes and edges. KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATA Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication.PUBLICATIONS
American Journal of Political Science. 64 (1), 135–151. (-Download preprint PDF-) Ognyanova, K. (2018). Rebooting mass communication: Using computational and network tools to rebuild media theory. In B. Foucault-Welles & S. Gonzalez-Bailon (Eds.), The Oxford Handbook of Networked Communication. Oxford, UK: Oxford University Press. THE STATE OF THE NATION: A 50-STATE COVID-19 SURVEY www.covidstates.org . THE COVID STATES PROJECT : A 50-STATE COVID-19 SURVEY REPORT #26: TRAJECTORY OF COVID-19-RELATED BEHAVIORS . USA,November 2020
THE STATE OF THE NATION: A 50-STATE COVID-19 SURVEY The impact of COVID- 19 has been disproportionate among non -white Americans, in terms of infection rates, hospitalizations, and deaths. The likelihood of seeking vaccination NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2018 Workshop, Washington, DC Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2Colors in R plots5
INTRODUCTION TO R AND NETWORK ANALYSIS l1 3] # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upset peopleused to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZAITON WITH GEPHI TABLE OF CONTENTS SUNBELT 2016 GEPHI WORKSHOP HANDOUT – FIND UPDATED VERSIONS ON WWW.KATETO.NET 5 GEPHI INTERFACE: MAJOR SECTIONS Overview Tab: Calculate network and node measures, change visual properties and generally set up the network visualization. This is where you do most of the work: resizing, coloring, and laying out the nodes and edges. KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATA Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication.PUBLICATIONS
American Journal of Political Science. 64 (1), 135–151. (-Download preprint PDF-) Ognyanova, K. (2018). Rebooting mass communication: Using computational and network tools to rebuild media theory. In B. Foucault-Welles & S. Gonzalez-Bailon (Eds.), The Oxford Handbook of Networked Communication. Oxford, UK: Oxford University Press. THE STATE OF THE NATION: A 50-STATE COVID-19 SURVEY www.covidstates.org . THE COVID STATES PROJECT : A 50-STATE COVID-19 SURVEY REPORT #26: TRAJECTORY OF COVID-19-RELATED BEHAVIORS . USA,November 2020
THE STATE OF THE NATION: A 50-STATE COVID-19 SURVEY The impact of COVID- 19 has been disproportionate among non -white Americans, in terms of infection rates, hospitalizations, and deaths. The likelihood of seeking vaccination NETWORK VISUALIZATION WITH R Network visualization with R PolNet 2018 Workshop, Washington, DC Katherine Ognyanova,Rutgers University Web:www.kateto.net, Twitter:ognyanova Contents 1 Introduction: network visualization2 2Colors in R plots5
INTRODUCTION TO R AND NETWORK ANALYSIS l1 3] # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upset peopleused to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 NETWORK VISUALIZAITON WITH GEPHI TABLE OF CONTENTS SUNBELT 2016 GEPHI WORKSHOP HANDOUT – FIND UPDATED VERSIONS ON WWW.KATETO.NET 5 GEPHI INTERFACE: MAJOR SECTIONS Overview Tab: Calculate network and node measures, change visual properties and generally set up the network visualization. This is where you do most of the work: resizing, coloring, and laying out the nodes and edges. KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATA Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication. THE STATE OF THE NATION: A 50-STATE COVID-19 SURVEY www.covidstates.org . THE COVID STATES PROJECT : A 50-STATE COVID-19 SURVEY REPORT #26: TRAJECTORY OF COVID-19-RELATED BEHAVIORS . USA,November 2020
THE STATE OF THE NATION: A 50-STATE COVID-19 SURVEY covidstates.org). In addition to balancing on these dimensions, we reweighted our data using demographic characteristics to match the U.S. population with respect to race/ethnicity, age, gender, education, and living in urban, suburban, INTRODUCTION TO R AND NETWORK ANALYSIS l1 3] # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upset peopleused to
NETWORK VISUALIZAITON WITH GEPHI TABLE OF CONTENTS SUNBELT 2016 GEPHI WORKSHOP HANDOUT – FIND UPDATED VERSIONS ON WWW.KATETO.NET 5 GEPHI INTERFACE: MAJOR SECTIONS Overview Tab: Calculate network and node measures, change visual properties and generally set up the network visualization. This is where you do most of the work: resizing, coloring, and laying out the nodes and edges. NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova NETWORK VISUALIZATION WITH R Network visualization with R - Katya Ognyanova KATYA OGNYANOVA: RUTGERS PROF., NETWORK RESEARCHER, DATA Katherine Ognyanova (Katya) is a researcher and educator exploring the structure of social and political processes in a digital age. She works as an Associate Professor at the School of Communication and Information, Rutgers University.Her research areas include quantitative and computational methods, social use of technology, political communication, and mass communication. NETWORK SCIENCE TUTORIALS Introduction to R for Networks. This tutorial provides an introduction to the R language and its use to process and analyze network data. It includes an overview of network formats, input and cleaning of network data, and key graph metrics. The tutorial also covers basics of network visualization in R. Most recent version: 04/2018 (RutgersPUBLICATIONS
American Journal of Political Science. 64 (1), 135–151. (-Download preprint PDF-) Ognyanova, K. (2018). Rebooting mass communication: Using computational and network tools to rebuild media theory. In B. Foucault-Welles & S. Gonzalez-Bailon (Eds.), The Oxford Handbook of Networked Communication. Oxford, UK: Oxford University Press. RESEARCH - KATYA OGNYANOVA Member of a multi-university working group collaborating with the Federal Communications Commission (FCC) to redefine media diversity in a digital age and explore policy implications. Lead research assistant for a study commissioned by the FCC to examine the information needs of communities and the media ecologies that serve them. BIO BRIEF - KATYA OGNYANOVA Bio Brief Download my CV (PDF) Visit my Linkedin profile Visit my ORCiD profile Visit my Publons profile Current and past research projects Recent works and publications Pronouncing “Ognyanova” Rutgers University Faculty (2015-present) Associate Professor: Department of Communication School of Communication and Information, Rutgers University. Instructor: Introduction to Social Media, BA NETWORK VISUALIZAITON WITH GEPHI TABLE OF CONTENTS SUNBELT 2016 GEPHI WORKSHOP HANDOUT – FIND UPDATED VERSIONS ON WWW.KATETO.NET 5 GEPHI INTERFACE: MAJOR SECTIONS Overview Tab: Calculate network and node measures, change visual properties and generally set up the network visualization. This is where you do most of the work: resizing, coloring, and laying out the nodes and edges. NETWORK ANALYSIS AND VISUALIZATION WITH R AND IGRAPH Vectorelements: v1 # third element of v1 v1 # elements 2, 3, 4 of v1 v1 # elements 1 and 3 - note that your indexes are a vectorv1 # elements 1 and 2 - only the ones that are TRUEv1 # v1>3 is a logical vector TRUE for elements >3 Note that the indexing in R starts from 1, a fact known to confuse and upsetpeople used to
NETWORK VISUALIZATION WITH R Network visualization with R Katherine Ognyanova,www.kateto.net POLNET 2015 Workshop, Portland OR Contents Introduction: NetworkVisualization2 Dataformat,size,andpreparation4 INTRODUCTION TO R AND NETWORK ANALYSISl1
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