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Predicting Aggregate Social Activities using Continuous ...

predict at individual level and then aggregate (e.g. predict the likelihood of posting a message for each user, and then compute the group-level aggregation). In social network evolution, we observe that aggregate ac-tivities provide a good indication of social network status. Considering social activities from a macro scope, some ac-

Predicting aggregate social activities using continuous ...

We then propose a Parameterized Social Activity Model (PSAM) using continuous-time stochastic process for predicting aggregate social activities. With social activities evolving over time, PSAM itself also evolves and therefore dynamically captures the real-time characteristics of

Predicting aggregate social activities using continuous ...

Request PDF | Predicting aggregate social activities using continuous-time stochastic process | How to accurately model and predict the future status of social networks has become an important ...

CiteSeerX — Predicting Aggregate Social Activities using ...

We then propose a Parameterized Social Activity Model (PSAM) using continuous-time stochastic process for predicting aggregate social activities. With social activities evolving over time, PSAM itself also evolves and therefore dynamically captures the real-time characteristics of

PF 9 Predicting Aggregate Behavior.pdf: SOCI 165 ...

PF 9 Predicting Aggregate Behavior.pdf. Download PF 9 Predicting Aggregate Behavior.pdf (973 KB) ...

Prediction in Social Science: A Tool to Study Inequality ...

Even if we cannot predict well for individuals (1), predictive algorithms that are correct on average can support important aggregate claims (2 and 3). An approach to computational social science that emphasizes carefully chosen aggregate claims creates opportunities for engagement in both social science and data science.

Predicting the Future With Social Media

Predicting the Future With Social Media Sitaram Asur Social Computing Lab HP Labs Palo Alto, California Email: [email protected] Bernardo A. Huberman Social Computing Lab ... One can also build models to aggregate the opinions of the collective population and gain useful insights into their behavior, while predicting future trends. Moreover,

aggregate social process - cabaretzeewolde.nl

We then propose a Parameterized Social Activity Model (PSAM) using continuous-time stochastic process for predicting aggregate social activities. Published in: conference on information and knowledge management · 2012Authors: Shu Huang · Min Chen · Bo Luo · Dongwon LeeAffiliation: Pennsylvania State University · Johns Hopkins University ...

Aggregate Social Network Data With the New Group Report ...

Oct 04, 2016 · Aggregate Social Network Data Using the New Group Report. We’ve wrapped up our reports overhaul with an update to our Group Report. The report combines a variety of social media analytics from Twitter, Facebook, Instagram and LinkedIn to benchmark your business’ overall success on social. The Group Report allows you to compare and analyze ...

6.1 Social Groups – Sociology

A social aggregate is a collection of people who are in the same place at the same time but who otherwise have nothing else in common. A crowd at a sporting event and the audience at a movie or play are examples of social aggregates. Eliud Gil Samaniego – Art

A compartmental model that predicts the effect of social ...

Apr 14, 2021 · Social distancing. Social distancing is a non-pharmaceutical strategy to reduce and control the spread of an epidemic 14.It could decrease the

The Impact of Social and Cultural Environment on Health ...

Health is determined by several factors including genetic inheritance, personal behaviors, access to quality health care, and the general external environment (such as the quality of air, water, and housing conditions). In addition, a growing body of research has documented associations between social and cultural factors and health (Berkman and Kawachi, 2000; Marmot and Wilkinson, 2006).

Using the aggregate of the outcome variable as a group ...

Sep 30, 2013 · Using the aggregate of the outcome variable as a group-level predictor in a hierarchical model Posted by Andrew on 30 September 2013, 4:10 pm When I was a kid I took a writing class, and one of the assignments was to write a 1-to-2 page story.

Predicting user activity level in social networks ...

A major kind of applications is to predict a user's future activities based on his/her historical social behaviors. In this paper, we focus on a fundamental task: to predict a user's future activity levels in a social network, e.g. weekly activeness, active or inactive. This problem is closely related to Social Customer Relationship Management ...

Sentiment analysis of Twitter data for predicting stock ...

Oct 05, 2016 · Predicting stock market movements is a well-known problem of interest. Now-a-days social media is perfectly representing the public sentiment and opinion about current events. Especially, Twitter has attracted a lot of attention from researchers for studying the public sentiments. Stock market prediction on the basis of public sentiments expressed on Twitter has been an intriguing field of ...

(PDF) The power of prediction with social media

The advent of social media provides researchers with a new and rich source of easily accessible. data about individuals, society and, potentially, the world in general. In parti cular, data from ...

Behavioral economics and the aggregate versus proximal ...

Background: Behavioral economic theory predicts decisions to drink are cost benefit analyses, and heavy episodic drinking occurs when benefits outweigh costs. Social interaction is a known benefit associated with alcohol use. Although heavy drinking is typically considered more likely during more social drinking events, people who drink heavily in isolation tend to report greater severity of use.

Predicting Social Unrest Events with Hidden Markov Models ...

Predicting Social Unrest Events with Hidden Markov Models Using GDELT. Fengcai Qiao,1 Pei Li,1 Xin Zhang,1 Zhaoyun Ding,1 Jiajun Cheng,1 and Hui Wang1. 1College of Information Systems and Management, National University of Defense Technology, Changsha, Hunan 410073, China. Academic Editor: Pasquale Candito. Received 16 Oct 2016.

August 2021 r/YAPms Prediction Aggregate Results : YAPms

Prediction Agregate. In this post you'll find the results of the August 2021 r/YAPms Prediction Survey. There's some maps in here to show the data by state, and there's maps to show how much agreement there is per election. You can also see the survey results archived in the Prediction Aggregate, along with all previous months.

Predicting Stock Price Movement Using Social Media

an analysis on a specific application of social media, pertaining to finance: using aggregated StockTwits message data to make statistically significant price predictions. Our underlying assumption is that there exists a correlation between market price action and the metrics that we extract from this aggregate sentiment,

Social graph convolutional LSTM for pedestrian trajectory ...

Social graph convolutional LSTM for pedestrian trajectory prediction ... understanding and predicting crowd interactions is challenging because such interactions are related to the social convention, ... ture with max-pooling to aggregate information across people.

Predicting the Behavior of Techno-Social Systems | Science

Jul 24, 2009 · Predicting the Behavior of Techno-Social Systems. Alessandro Vespignani. Center for Complex Networks and Systems Research, School of Informatics and Computing, and Pervasive Technology Institute, Indiana University, Bloomington, IN 47408, USA; and Institute for Scientific Interchange, Turin, Italy. E-mail: [email protected]

Predicting user activity level in social networks ...

Oct 27, 2013 · A major kind of applications is to predict a user's future activities based on his/her historical social behaviors. In this paper, we focus on a fundamental task: to predict a user's future activity levels in a social network, e.g. weekly activeness, active or inactive. This problem is closely related to Social Customer Relationship Management ...

Predicting the Political Alignment of Twitter Users

at the individual level may, in the aggregate, obscure partisan differences in opinion that are important to political strategy. In this article we describe several methods for predicting the political alignment of Twitter users based on the content and structure of their political communication in the run-up to the 2010 U.S. midterm elections.

Researchers look to human 'social sensors' to better ...

Jun 30, 2021 · Researchers look to human 'social sensors' to better predict elections and other trends Date: June 30, 2021 Source: Santa Fe Institute Summary: Researchers can

6.2: Growth and the Long-Run Aggregate Supply Curve ...

Jul 07, 2021 · The real wage falls to ω 2. With increased labor, the aggregate production function in Panel (b) shows that the economy is now capable of producing real GDP at Y2. The long-run aggregate supply curve in Panel (c) shifts to LRAS2. In Panel (a), an

A Methodology for Predicting Aggregate Flight Departure ...

This paper proposes a new methodology for predicting aggregate flight departure delays in airports by exploring supervised learning methods. Individual flight data and meteorological information were processed to obtain four types of airport-related aggregate characteristics for prediction modeling. The expected departure delays in airports is selected as the prediction target while four ...

Forecasting - Wikipedia

Forecasting is the process of making predictions based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively ...

The Aggregate Demand-Aggregate Supply Model

Glossary. aggregate demand/aggregate supply model: a model that shows what determines real GDP and the aggregate price level through the interaction between total spending on domestic goods and services (i.e aggregate demand) and total production by businesses (i.e. aggregate

Social distancing decreases an individual’s likelihood of ...

Feb 23, 2021 · This is a critical theoretical and empirical gap, particularly given that the demonstrated effectiveness of social distancing at the aggregate level does not necessarily mean that individual differences in social distancing behavior will predict whether a given individual contracts the disease.

Social graph convolutional LSTM for pedestrian trajectory ...

Feb 08, 2021 · We call this influence social interaction, which is an important factor affecting the future trajectory. We use GCN to capture the social interaction information in our model. Many studies prove that GCN can aggregate node information based on the structure of a graph [33, 34].

22.1 Aggregate Demand – Principles of Economics

The aggregate demand curve for the data given in the table is plotted on the graph in Figure 22.1 “Aggregate Demand”. At point A, at a price level of 1.18, $11,800 billion worth of goods and services will be demanded; at point C, a reduction in the price level to 1.14 increases the quantity of goods and services demanded to $12,000 billion ...

Aggregate Demand-Aggregate Supply Model and Long-Run ...

Aggregate Demand-Aggregate Supply Model and Long-Run Macroeconomic Equilibrium 1. Draw an AD-AS graph showing long-run macroeconomic equilibrium. Label AD, SRAS, LRAS, potential output, equilibrium aggregate price level, and output. 2. Consider an economy in long-run equilibrium. Draw a graph of the AD-AS model to show the effect of each of the ...

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