scholarly journals Analysis of the Twitter discourse in the 2019 electoral debates in Spain: a comparative algorithmic study

2022 ◽  
Vol 35 (1) ◽  
pp. 45-61
Author(s):  
Sergio Arce-García ◽  
Fátima Vila ◽  
Joan-Francesc Fondevila-Gascón
Keyword(s):  
Social Network ◽  
Network Theory ◽  
Left Wing ◽  
R Software ◽  
Basic Emotions ◽  
The Social ◽  
General Elections ◽  
Twitter Users

This article analyzes and compares the following of Twitter users during the two electoral debates of the general elections in Spain in April and November 2019. Through the collection of the official hashtags #ElDebateDecisivo (970,706 tweets) and #DebateElectoral (821,521) respectively from 9 am on the day of the debate until 2 am the following day, we analyzed the polarity and basic emotions of the messages posted on the social network using algorithms with R software. A network theory study was also carried out to determine each account’s affiliation to each group. The results show a polarization in the network, with well-defined groups with hardly any relationship with other groups of different ideologies. It is also observed that the entry of a new player, Vox, into the second debate completely alters the rest of the center-right parties, which end up seeing it from a much more negative perspective. This entry does not involve major changes among the left-wing parties, but it does mean an increase in fear.

Entanglement, Materiality and the Social Organisation of Construction Workers in Classical Athens

2018 ◽  
pp. 512-528
Author(s):  
Diane Harris Cline
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Theory ◽  
Actor Network Theory ◽  
Fifth Century ◽  
Actor Network ◽  
The Social ◽  
Building Program

This chapter views the “Periclean Building Program” through the lens of Actor Network Theory, in order to explore the ways in which the construction of these buildings transformed Athenian society and politics in the fifth century BC. It begins by applying some Actor Network Theory concepts to the process that was involved in getting approval for the building program as described by Thucydides and Plutarch in his Life of Pericles. Actor Network Theory blends entanglement (human-material thing interdependence) with network thinking, so it allows us to reframe our views to include social networks when we think about the political debate and social tensions in Athens that arose from Pericles’s proposal to construct the Parthenon and Propylaea on the Athenian Acropolis, the Telesterion at Eleusis, the Odeon at the base of the South slope of the Acropolis, and the long wall to Peiraeus. Social Network Analysis can model the social networks, and the clusters within them, that existed in mid-fifth century Athens. By using Social Network Analysis we can then show how the construction work itself transformed a fractious city into a harmonious one through sustained, collective efforts that engaged large numbers of lower class citizens, all responding to each other’s needs in a chaine operatoire..

Social capital dimensions and employee creativity: Does cognitive style matter?

2020 ◽  
Vol 30 (1) ◽  
pp. 4-21
Author(s):  
Rahma Oussi ◽  
Wafi Chtourou
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Cognitive Style ◽  
Network Theory ◽  
Social Network Theory ◽  
Three Dimensions ◽  
Structural Dimension ◽  
Employee Creativity ◽  
Content Type ◽  
The Social

Purpose This study aims to investigate the theoretical limitations of the social network theory applied on employee creativity. Design/methodology/approach By combining the social network theory and componential model of creativity, this study studies the possible impact of social capital through its three dimensions (structural, relational and cognitive dimension) on individual creativity, to explore then the moderating effect of cognitive style as individual characteristic on the structural dimension of social capital such weak ties and employee creativity. Findings The results show that, on a sample of 95 employees belonging to four companies in the IT sector, predictions based on the social network theory are only weakly verified. Indeed, the relational and cognitive dimensions of social capital do not have a significant impact on individual creativity. Originality/value Based on Kim et al.’s (2016) call for future research, this study extends the assumptions of the social network theory announcing that social capital through its structural dimension may have an identical impact on individual creativity in all circumstances.

Understanding the expression of grievances in the Arabic Twitter-sphere using machine learning

2019 ◽  
Vol 5 (2) ◽  
pp. 108-119
Author(s):  
Yeslam Al-Saggaf ◽  
Amanda Davies
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Social Network ◽  
Network Analysis ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Data Set ◽  
Content Type ◽  
The Social ◽  
Twitter Users

Purpose The purpose of this paper is to discuss the design, application and findings of a case study in which the application of a machine learning algorithm is utilised to identify the grievances in Twitter in an Arabian context. Design/methodology/approach To understand the characteristics of the Twitter users who expressed the identified grievances, data mining techniques and social network analysis were utilised. The study extracted a total of 23,363 tweets and these were stored as a data set. The machine learning algorithm applied to this data set was followed by utilising a data mining process to explore the characteristics of the Twitter feed users. The network of the users was mapped and the individual level of interactivity and network density were calculated. Findings The machine learning algorithm revealed 12 themes all of which were underpinned by the coalition of Arab countries blockade of Qatar. The data mining analysis revealed that the tweets could be clustered in three clusters, the main cluster included users with a large number of followers and friends but who did not mention other users in their tweets. The social network analysis revealed that whilst a large proportion of users engaged in direct messages with others, the network ties between them were not registered as strong. Practical implications Borum (2011) notes that invoking grievances is the first step in the radicalisation process. It is hoped that by understanding these grievances, the study will shed light on what radical groups could invoke to win the sympathy of aggrieved people. Originality/value In combination, the machine learning algorithm offered insights into the grievances expressed within the tweets in an Arabian context. The data mining and the social network analyses revealed the characteristics of the Twitter users highlighting identifying and managing early intervention of radicalisation.

Political management of emigration from Bangladesh in the framework of a social network theory

Upravlenie ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 123-132
Author(s):  
Shahanaz Parven
Keyword(s):  
Social Network ◽  
International Migration ◽  
Network Theory ◽  
Social Network Theory ◽  
The Social ◽  
Political Management ◽  
The Subject ◽  
Migration Flows ◽  
The Government ◽  
The Relationship

The subject of the study is the social network theory for the management of international migration. The theory suggests that migration from the society of origin to the hosting society can occur if links exist between these two societies, and that the flow of migrants follows the established links. The theoretical prediction which one can make is that, if the political administration wishes to establish a flow of migrants between any two societies, a link between these two societies must be established first. The author tested the theory on the case of managing the emigration of workers by the government of Bangladesh. The paper found that, firstly, the links between the origin society and the host society were created artificially, however, in contrast to the theoretical forecast, the author observed that such links usually do not correspond to the geographical distribution of maximum proximity to origin or destination society. Instead, the study revealed, that the closeness of communication between two societies is generated by the proximity between political administrations of the same societies, which contradicts the theoretical expectations. In this regard, the author proposed to expand the theory of international migration in the social network, suggesting that the proximity between two political administrations, and not between two societies as a whole, is a condition necessary for international migration. This, in turn, allows us to fill a theoretical gap that is associated with the relationship between social network theory and the management of international migration. The paper concludes that it is possible to generate arbitrary migration flows, creating appropriate links between any two societies.

Social Network Sites

2010 ◽  
Vol 2 (2) ◽  
pp. 54-62 ◽  
Author(s):  
Nisrine Zammar
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Network Theory ◽  
Structural Design ◽  
Personal Information ◽  
Social Network Sites ◽  
Actor Network Theory ◽  
Chat Rooms ◽  
The Social

This article examines the role of actors in a Social Network Sites and also the triggers and challenges they represent to social networking between today’s communities and businesses. A Social Network Sites is the product of the evolution of social liaisons and the emergence of online communities of people who are interested in exploring the concerns and activities of others. A social network is the assembly of direct or indirect contacts; a network is the product of interactions with the actors (individuals, families, enterprises, etc.) enabled by means of the structural design of web 2.0. Social Network Sites bring people together to interact through chat rooms, and share personal information and ideas around any topics via personal homepage publishing tools. This article is intended to be a trigger to deeply and more intensely explore potential roles of actor-network theory in the Social Network Sites context, in today’s and tomorrow’s world.

scholarly journals Social network analysis of climate change discussion on Twitter during COP21

2021 ◽  
Author(s):  
Brittany E. Harris
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Social Network ◽  
Network Analysis ◽  
Social Media Platform ◽  
The Public ◽  
Climate Change Information ◽  
The Social ◽  
Media Platform ◽  
Twitter Users

The public is increasingly relying on Twitter for climate change information; however, to date, this social media platform is poorly understood in terms of how climate change information is shared. This study evaluates discussions on Twitter during the 2015 United Nations Conference on Climate Change (COP21) to elucidate the social media platform’s role in communicating climate change information. For a five-day period, links embedded in a sample of tweets containing “#climatechange” were characterized, Twitter users were classified by the types of links they typically shared, and their degree centralities (the number of connections for each user) were measured. There was little skeptical content across all user categories; however, news links were more likely than non-news to contain content that is skeptical of climate change. Users who typically shared skeptical news links and users who typically shared non-skeptical non-news links exhibited a relatively high number of connections with other users.

A multi-methods design to understand the #longCOVID and #longhaulers conversation on Twitter (Preprint)

2021 ◽  
Author(s):  
Sara Santarossa ◽  
Ashley Rapp ◽  
Saily Sardinas ◽  
Janine Hussein ◽  
Alex Ramirez ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Perception ◽  
Long Term Effects ◽  
Patient Centered ◽  
The Social ◽  
Personal Experiences ◽  
Twitter Users

BACKGROUND The scientific community is just beginning to uncover potential long-term effects of COVID-19, and one way to start gathering information is by examining the present discourse on the topic. OBJECTIVE The conversation about long COVID-19 on Twitter provides insight into related public perception and personal experiences. METHODS A multipronged approach was used to analyze data (N = 2,500 records from Twitter) about long-COVID and from people experiencing long COVID-19. A text analysis was completed by both human coders and Netlytic, a cloud-based text and social networks analyzer. A social network analysis generated Name and Chain networks that showed connections and interactions between Twitter users. RESULTS Among the 2,010 tweets about long COVID-19, and 490 tweets by COVID-19 long-haulers 30,923 and 7,817 unique words were found, respectively. For booth conversation types ‘#longcovid’ and ‘covid’ were the most frequently mentioned words, however, through visually inspecting the data, words relevant to having long COVID-19 (i.e., symptoms, fatigue, pain) were more prominent in tweets by COVID-19 long-haulers. When discussing long COVID-19, the most prominent frames were ‘support’ (1090; 56.45%) and ‘research’ (435; 21.65%). In COVID-19 long haulers conversations, ‘symptoms’ (297; 61.5%) and ‘building a community’ (152; 31.5%) were the most prominent frames. The social network analysis revealed that for both tweets about long COVID-19 and tweets by COVID-19 long-haulers, networks are highly decentralized, fragmented, and loosely connected. CONCLUSIONS The present study provides a glimpse into the ways long COVID-19 is framed by social network users. Understanding these perspectives may help generate future patient-centered research questions.

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