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Workshop on ERGM at ION6 | Filip Agneessens

https://filipagneessens.wordpress.com/ion6

Intro to SNA (Essex Summer School). Workshop on ERGM at ION6. Workshop on ERGM at ION6. This is a one-day workshop on ERGMs (p* models) at ION6. However, when can we say (with some confidence) that we have more closed triads or more homophilous ties in our network than we could expect by chance? And can we be sure that closure is not simply the result of homophily? Hence, the aim of these statistical tests is to answer questions such as:. 8211; Is my network more centralized than chance…? Lusher, D.,...

2

About me | Filip Agneessens

https://filipagneessens.wordpress.com/2013/07/08/about-me

Intro to SNA (Essex Summer School). Workshop on ERGM at ION6. July 8, 2013. I am a Senior Lecturer in Organisational Behaviour and Human Resource Management at the Surrey Business School. University of Surrey, UK). I obtained a PhD in Sociology from Ghent University (Belgium). Before joining the Surrey Business School I was an Assistant Professor in Organisational Studies at VU University Amsterdam and a researcher/guest lecturer at the University of Groningen. I have published a number of articles on so...

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Publications | Filip Agneessens

https://filipagneessens.wordpress.com/publications

Intro to SNA (Essex Summer School). Workshop on ERGM at ION6. 8211; Agneessens, F., and Everett, M. 2013. Introduction to the special issue on advances in two-mode social networks. Social Networks 35, 145-278. 8211; Soltis, S., Agneessens, F., Sasovova, Z., and Labianca, G. (2013). A social network perspective on turnover intentions: The influence of social support and distributive justice. 52(4), 561-584, special issue on. Social Networks and HRM. In GA Barnett (Ed.),. Encyclopedia of Social Networks.

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Intro to SNA (Essex Summer School) | Filip Agneessens

https://filipagneessens.wordpress.com/intro-to-social-network-analysis-essex-summer-school-2014

Intro to SNA (Essex Summer School). Workshop on ERGM at ION6. Intro to SNA (Essex Summer School). This course is offered at the Essex Summer School. And will provide a practical, but comprehensive introduction to the analysis of social networks. Why Social Network Analysis? 1 Social Network Analysis: what, how, why? What is social network analysis? Why do we need social network analysis? How does a social network approach differ from classic/standard research? What type of social network data are there?

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July | 2013 | Filip Agneessens

https://filipagneessens.wordpress.com/2013/07

Intro to SNA (Essex Summer School). Workshop on ERGM at ION6. July 8, 2013. I am a Senior Lecturer in Organisational Behaviour and Human Resource Management at the Surrey Business School. University of Surrey, UK). I obtained a PhD in Sociology from Ghent University (Belgium). Before joining the Surrey Business School I was an Assistant Professor in Organisational Studies at VU University Amsterdam and a researcher/guest lecturer at the University of Groningen. I have published a number of articles on so...

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Article: Triadic closure in two-mode networks: Redefining the global and local clustering coefficients | Tore Opsahl

https://toreopsahl.com/2011/12/21/article-triadic-closure-in-two-mode-networks-redefining-the-global-and-local-clustering-coefficients

Article: Triadic closure in two-mode networks: Redefining the global and local clustering coefficients. December 21, 2011 at 9:00 am. Otherwise, a preprint with the exact same text is available ( arXiv:1006.0887. Or the tnet documentation ( tnet Two-mode Networks Clustering. Want to test it with your data? The clustering tm and clustering local tm-functions in tnet. Allows you to calculate the global and local clustering coefficients for two-mode networks (both binary and weighted) on your own dataset.

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Article: Node centrality in weighted networks: Generalizing degree and shortest paths | Tore Opsahl

https://toreopsahl.com/2010/04/21/article-node-centrality-in-weighted-networks-generalizing-degree-and-shortest-paths

Article: Node centrality in weighted networks: Generalizing degree and shortest paths. April 21, 2010 at 10:37 am. A paper called “Node centrality in weighted networks: Generalizing degree and shortest paths” that I have co-authored with Filip Agneessens. Will be published in Social Networks. Otherwise, a preprint with the exact same text. This articles proposes a new generation of node centrality measures for weighted networks. The second generation of measures takes into consideration both the weig...

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Tore Opsahl | Page 2

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Closeness centrality in networks with disconnected components. March 20, 2010 at 1:03 pm. Local clustering coefficient for two-mode networks. Similar to the motivation of the global clustering coefficient that I proposed in Clustering in two-mode networks. The content of this post has been integrated in the. Manual, see Clustering in Two-mode Networks. January 6, 2010 at 6:29 pm. Online Social Network-dataset now available. The Online Social Network-dataset used in my Ph.D. thesis. Manual, see Datasets.

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Securely using R and RStudio on Amazon’s EC2 | Tore Opsahl

https://toreopsahl.com/2011/10/17/securely-using-r-and-rstudio-on-amazons-ec2

Securely using R and RStudio on Amazon’s EC2. October 17, 2011 at 3:32 pm. R is a great tool for analysing data. It consists of an intuitive and interactive programming language with a vast number of extension packages (such as tnet. That allow analysts to take advantage of functions created by individuals outside the R core team. As such, it is rapidly becoming (or has it already become? Reprogramme everything in (and learn) C. The downside to using cloud computing is security. When I first started ...

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Why Anchorage is not (that) important: Binary ties and Sample selection | Tore Opsahl

https://toreopsahl.com/2011/08/12/why-anchorage-is-not-that-important-binary-ties-and-sample-selection

Why Anchorage is not (that) important: Binary ties and Sample selection. August 12, 2011 at 1:39 am. A surprising finding when analysing airport networks is the importance of Anchorage airport in Alaska. In fact, it is the most central airport in the network when applying betweenness! Betweenness for a node is defined as the number of shortest paths among all others that passes through the node (see Opsahl et al., 2010. Issue 1: Binary ties. Then there is a potential for measurement error. The table ...

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Closeness centrality in networks with disconnected components | Tore Opsahl

https://toreopsahl.com/2010/03/20/closeness-centrality-in-networks-with-disconnected-components

Closeness centrality in networks with disconnected components. March 20, 2010 at 1:03 pm. To develop this measure, I went back to the original equation:. Is the focal node,. Is another node in the network, and. By taking advantage of this feature, it is possible to rewrite the closeness equation as. The sum of inversed. Distances to all other nodes instead of the. Inversed of the sum. Of distances to all other nodes. The equation would then be:. Social Networks 32, 245-251. What to try it with your data?

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Degree Centrality and Variation in Tie Weights | Tore Opsahl

https://toreopsahl.com/2011/08/08/degree-centrality-and-variation-in-tie-weights

Degree Centrality and Variation in Tie Weights. August 8, 2011 at 11:28 pm. Represents all other nodes,. Is the total number of nodes, and. Is the adjacency matrix, in which the cell. Is defi ned as 1 if node. Is connected to node. Degree has generally been extended to the sum of weights when analysing weighted networks, and labeled node strength (Barrat et al., 2004). This measure can be formalised as follows:. Is the weighted adjacency matrix, in which. Is greater than 0 if the node. Load tnet library(...

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Article: For the few not the many? The effects of affirmative action on presence, prominence, and social capital of women directors in Norway | Tore Opsahl

https://toreopsahl.com/2010/09/30/article-for-the-few-not-the-many-the-effects-of-affirmative-action-on-presence-prominence-and-social-capital-of-women-directors-in-norway

Article: For the few not the many? The effects of affirmative action on presence, prominence, and social capital of women directors in Norway. September 30, 2010 at 4:02 pm. A paper called “For the few not the many? The effects of affirmative action on presence, prominence, and social capital of women directors in Norway” that I have co-authored with Cathrine Seierstad. Directly. Otherwise, a preprint of the paper is available on its supporting website: www.boardsandgender.com. Entry filed under: Articles.

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1 Events in Social Networks. Relational) Events are any type of dyadic interaction between individuals that form social networks. Examples are communication events like phone calls, text messages or e-mails. Social interaction like meeting, or sharing can be considered events. I started working to model large event streams in my dissertation. The ESNA. Project is the software development offspring of this project. Karlsruhe Institute of Technology. Otto Allmendinger, Karlsruhe Institute of Technology.

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