Replication data for: 'Symmetric Convex Mechanism of Opinion Formation Predicts Directions of Users’ Opinions Trajectories' and 'On an Approach to Measure the Level of Polarization of Individuals’ Opinions'
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'In this paper, we propose a new metric to evaluate the level of polarization of individuals' opinions. Our approach is suitable in the case where opinions are evaluated by scalar values representing personal attitudes towards a fixed issue. We demonstrate how the metric works, applying it to a time series of VKontakte users' opinions that are devoted to a political topic. We report an increase in the level of polarization.The symmetric convex mechanism of opinion formation requires an individual's opinion at the next time moment to be an average of their current opinion and opinions of their acquaintances. In this paper, we evaluate to what extent this dependency can describe the real data. Combining machine learning and social network analysis approaches, we retrieve a time series of VKontakte users' opinions as well as inf' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Opinion dynamics","Opinion formation models","Polarization","Social Network Analysis"]} <|eot_id|>
 Here is the Description of a dataset. Description:'In this paper, we propose a new metric to evaluate the level of polarization of individuals' opinions. Our approach is suitable in the case where opinions are evaluated by scalar values representing personal attitudes towards a fixed issue. We demonstrate how the metric works, applying it to a time series of VKontakte users' opinions that are devoted to a political topic. We report an increase in the level of polarization.The symmetric convex mechanism of opinion formation requires an individual's opinion at the next time moment to be an average of their current opinion and opinions of their acquaintances. In this paper, we evaluate to what extent this dependency can describe the real data. Combining machine learning and social network analysis approaches, we retrieve a time series of VKontakte users' opinions as well as inf' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
In this paper, we propose a new metric to evaluate the level of polarization of individuals' opinions. Our approach is suitable in the case where opinions are evaluated by scalar values representing personal attitudes towards a fixed issue. We demonstrate how the metric works, applying it to a time series of VKontakte users' opinions that are devoted to a political topic. We report an increase in the level of polarization.The symmetric convex mechanism of opinion formation requires an individual's opinion at the next time moment to be an average of their current opinion and opinions of their acquaintances. In this paper, we evaluate to what extent this dependency can describe the real data. Combining machine learning and social network analysis approaches, we retrieve a time series of VKontakte users' opinions as well as inf
Opinion dynamics; Opinion formation models; Polarization; Social Network Analysis