Blanche Demo

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Published on January 13, 2008

Author: Vincenza

Source: authorstream.com

Slide1:  Introducing Blanche Science of Networks in Communities (SONIC) Team Engineering Collaboratory University of Illinois at Urbana-Champaign April, 2005 Slide2:  Elements of Blanche: Nodes Nodes: individuals, groups, organizations, databases Attributes of nodes: attitude, age, gender, organizational affiliation, expertise, human/non-human agents - Attributes can be continuous, categorical, constant or changing Elements of Blanche: Relations:  Elements of Blanche: Relations One or more relations between the nodes: communication information flow access, publish or retrieve information perceptions of others’ attitude or expertise Relations can be directional, non-directional, binary, continuous, constant or changing Slide4:  A F E B D C A’s Attributes: Attitude, Expertise A’s Relations: Communication from A to F Explaining changes: Attributes of the nodes:  Explaining changes: Attributes of the nodes Changes in the value of the attributes for actor i are influenced by present and prior values of: Relations of actor i with other actors j Attributes of other actors j Other attributes of actor i Explaining changes: Relations between the nodes:  Explaining changes: Relations between the nodes Changes in the value of relations for actor i to actor j are influenced by present and prior values of: Attributes of actor i Attributes of other actors j One or more relations between actor i and all other actors j Example:  Example To model the relationship between people’s communication with one another and the similarity in their attitudes towards two issues X and Y Generative Mechanisms:  Generative Mechanisms Actor i’s attitudes towards X (or Y) is based on the attitude of other actors, j, with whom actor i communicates. Actor i’s communication with j is based on their previous communication and shared attitudes towards X and Y. Variables:  Variables Attribute Variables: AttX : Attitude towards X. Range: 0 to 1 AttY: Attitude towards Y. Range: 0 to 1 Relational Variables PComm: Probability of a communication tie Range: 0 to 1 Comm: Presence of a communication tie Range: 0 or 1 Process Preview:  Process Preview Create and specify variables Enter equations Check levels Specify file names for initial data sets Generate and save new data sets Process Preview:  Process Preview Model analysis: Run simulation: single or multiple runs View results: Attribute and Relational data, Time series graphs, Visualizations Analyze results: Descriptive univariate and network statistics Save and export results: text files, UCINET DL or Krackplot KP files. Viewing Nodes and Variables:  Viewing Nodes and Variables Click here to view and modify highlighted variable Click here to enter a new variable Viewing and Modifying Variable AttX: Attitude about Topic X:  Viewing and Modifying Variable AttX: Attitude about Topic X Click here to generate new initial datasets Generating Data for Initial Attitudes Towards Topic X: AttX:  Generating Data for Initial Attitudes Towards Topic X: AttX Previewing Data for Initial Attitudes Towards Topic X: AttX :  Previewing Data for Initial Attitudes Towards Topic X: AttX Click here to save the data generated Saving New Data for Initial Attitudes Towards Topic X: AttX :  Saving New Data for Initial Attitudes Towards Topic X: AttX Click here to save the data generated Viewing and Modifying Variable AttY: Attitude about Topic Y:  Viewing and Modifying Variable AttY: Attitude about Topic Y Viewing and Modifying Variable Probability of a Communication tie: PCOMM:  Viewing and Modifying Variable Probability of a Communication tie: PCOMM Viewing and Modifying Variable Presence of a Communication tie: COMM:  Viewing and Modifying Variable Presence of a Communication tie: COMM Running model in Blanche Step 1: Specify model parameters:  Running model in Blanche Step 1: Specify model parameters Running model in Blanche Step 2: Click on Play button:  Running model in Blanche Step 2: Click on Play button Click here to run simulation Running model in Blanche Step 3: Allow simulation to run:  Running model in Blanche Step 3: Allow simulation to run Running model in Blanche Step 4: View data for selected attributes:  Running model in Blanche Step 4: View data for selected attributes AttX and AttY at iteration 99 Running model in Blanche Step 5: View data for selected relations:  Running model in Blanche Step 5: View data for selected relations Comm at iteration 97 Click here to go to previous iteration Visualizing data in Blanche Select to graph individual actors or the entire network by highlighting the values tab and selecting the “add” button :  Visualizing data in Blanche Select to graph individual actors or the entire network by highlighting the values tab and selecting the “add” button Visualizing Graphs: Graph of the data (normal view) :  Visualizing Graphs: Graph of the data (normal view) Zoom area Visualizing Graphs: Graph of the Data (3D view):  Visualizing Graphs: Graph of the Data (3D view) Visualizing Networks at iteration 30:  Visualizing Networks at iteration 30 Saving data:  Saving data Possible applications:  Possible applications Examine change in simulation results as a function of: Variance in the initial conditions Different equations based on different theories or different interpretations of the same theory Use empirical data as initial data to predict future states of the network: attitudes and communication relations. Use results to guide research design – when and what data is most appropriate to test hypotheses

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