Modeling surveys effects in political competitions

Biondo, Alessio Emanuele; Pluchino, Alessandro; Rapisarda, Andrea

doi:10.1016/j.physa.2018.02.211

“…In this field, the main focus is on social influence on the dissemination of attitudes (e.g. regarding sustainable energy use (Moglia et al, 2018;Niamir et al, 2018) or organic farming (Kaufmann et al, 2009)), culture (Flache & Macy, 2011;Keijzer et al, 2018), language (Ke et al, 2008;Lou-Magnuson & Onnis, 2018), opinions (Biondo et al, 2018;Lu et al, 2009;Piedrahita et al, 2018), trends (Schlaile et al, 2018;Weng et al, 2012) or information (Chareunsy, 2018;Frank et al, 2018).…”

Section: Diffusionmentioning

confidence: 99%

Combining social network analysis and agent-based modelling to explore dynamics of human interaction: A review

Will

¹

,

Groeneveld

²

,

Frank

³

et al. 2020

SESMO

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Agent-based modelling (ABM) and social network analysis (SNA) are both valuable tools for exploring the impact of human interactions on a broad range of social and ecological patterns. Integrating these approaches offers unique opportunities to gain insights into human behaviour that neither the evaluation of social networks nor agent-based models alone can provide. There are many intriguing examples that demonstrate this potential, for instance in epidemiology, marketing or social dynamics. Based on an extensive literature review, we provide an overview on coupling ABM with SNA and evaluating the integrated approach. Building on this, we identify current shortcomings in the combination of the two methods. The greatest room for improvement is found with regard to (i) the consideration of the concept of social integration through networks, (ii) an increased use of the co-evolutionary character of social networks and embedded agents, and (iii) a systematic and quantitative model analysis focusing on the causal relationship between the agents and the network. Furthermore, we highlight the importance of a comprehensive and clearly structured model conceptualization and documentation. We synthesize our findings in guidelines that contain the main aspects to consider when integrating social networks into agent-based models.

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Using Computational Text Analysis to Explore Open-Ended Survey Question Responses

2019

Advances in Data Mining and Database Management

0

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To capture a broader range of data than close-ended questions (often defined and delimited by the survey instrument designer), open-ended questions, such as text-based elicitations (and file-upload options for still imagery, audio, video, and other contents) are becoming more common because of the wide availability of computational text analysis, both within online survey tools and in external software applications. These computational text analysis tools—some online, some offline—make it easier to capture reproducible insights with qualitative data. This chapter explores some analytical capabilities, in matrix queries, theme extraction (topic modeling), sentiment analysis, cluster analysis (concept mapping), network text structures, qualitative cross-tabulation analysis, manual coding to automated coding, linguistic analysis, psychometrics, stylometry, network analysis, and others, as applied to open-ended questions from online surveys (and combined with human close reading).

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Using Computational Text Analysis to Explore Open-Ended Survey Question Responses

Hai-Jew

¹

2022

Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines

0

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To capture a broader range of data than close-ended questions (often defined and delimited by the survey instrument designer), open-ended questions, such as text-based elicitations (and file-upload options for still imagery, audio, video, and other contents) are becoming more common because of the wide availability of computational text analysis, both within online survey tools and in external software applications. These computational text analysis tools—some online, some offline—make it easier to capture reproducible insights with qualitative data. This chapter explores some analytical capabilities, in matrix queries, theme extraction (topic modeling), sentiment analysis, cluster analysis (concept mapping), network text structures, qualitative cross-tabulation analysis, manual coding to automated coding, linguistic analysis, psychometrics, stylometry, network analysis, and others, as applied to open-ended questions from online surveys (and combined with human close reading).

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Modeling surveys effects in political competitions

Cited by 3 publications

References 76 publications

Combining social network analysis and agent-based modelling to explore dynamics of human interaction: A review

Combining social network analysis and agent-based modelling to explore dynamics of human interaction: A review

Using Computational Text Analysis to Explore Open-Ended Survey Question Responses

Using Computational Text Analysis to Explore Open-Ended Survey Question Responses

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