Twitter Communication Network Research Articles

Education in times of global crisis: How private actors in Germany gain power through Twitter

The outbreak of the COVID-19 pandemic led to enormous societal changes worldwide and touched many different areas of daily life. One of the most serious restrictions to contain the pandemic was the closure of schools and kindergartens. Particularly in countries with comparatively low levels of digitalization in schools, this situation opened up opportunities for private actors to gain importance and influence in the education sector. For this article, we draw on policy network approaches and network theory to analyze Twitter discussions around digital learning and homeschooling during the period of school closures in Germany due to the COVID-19 crisis. We use social network analysis to identify the actors involved and their influences in the issue-specific Twitter communication network. In recent years, Twitter has been increasingly used for exchanges on education policy content, mainly by political and civil society actors. Our study shows that with respect to digital learning and homeschooling, it was primarily individual experts and consultants as well as corporations which influenced the discourse. In particular, it appears that Twitter is used as a forum to promote corporations’ own products and platforms, including by globally operating corporations such as Microsoft and YouTube, while public actors remain barely visible.

The Global Diffusion of Social Innovations – An Analysis of Twitter Communication Networks Related to Inclusive Education

In recent decades, different social innovations – such as lifelong learning, inclusion or Education for Sustainable Development – have had a huge impact on domestic education systems. In an increasingly globalized world, innovations diffuse across national borders. At the same time, diffusion processes seem to be highly influenced by public and private actors, e.g. international organizations (IOs) or non-governmental organizations (NGOs). Both state and non-state actors use social networks and digital communication platforms, such as Twitter, as channels for the diffusion of social innovations and practices. Inclusive education, which has become the main alternative to special schools for the schooling of children with disabilities, is a widely discussed innovation in education and, hence, represents a suitable case for the study of global diffusion processes and the involved actors. Thus, drawing on social network theory, the aim of this paper is to examine the structure of the Twitter communication network forming around the social innovation of inclusive education. Empirically, we use social network analysis to map the communication network; identify central actors; and infer assumptions about the role of different actor groups. Our results show, for instance, that especially NGOs and IOs hold central positions in the network, which enables them to exert influence on the diffusion of innovative ideas. Overall, the findings of our study indicate how the online communication tool Twitter can play a crucial role for actors who seek to influence the global diffusion of social innovations in education and effect education policies, norms and systems at the global, national and regional levels as such.

Geographical fragmentation of the global network of Twitter communications.

Understanding the geography of society represents a challenge for social and economic sciences. The recent availability of data from social media enables the observation of societies at a global scale. In this paper, we study the geographical structure of the Twitter communication network at the global scale. We find a complex structure where self-organized patches with clear cultural, historical, and administrative boundaries are manifested and first-world economies centralize information flows. These patches unveil world regions that are socially closer to each other with direct implications for processes of collective learning and identity creation.

A tale of three tribes: UK MPs, Twitter and the EU Referendum campaign1

This paper examines the structure of Twitter communication networks between MPs during the 2016 EU Referendum campaign. In particular, the research examines the impact of Twitter in two dimensions: (1) how far social media might facilitate inter-party linkages thus eroding traditional partisan relations between MPs? This was given added potential by the supposedly cross-party nature of the Referendum campaign and, therefore, we specifically examined the collective communicative networks that formed around Leave and Remain amongst MPs; (2) Given the potential of social media to provide a platform for individual politicians to personalize campaigns, we asked how far social media might disrupt traditional formal intra-party hierarchies? Did, for example, backbench or relatively unknown figures come to the fore in the EU debate? Our results indicate that whilst there existed a high degree of partisanship, interestingly, Remainer MPs tended to adhere to party networks resulting in a divided remain network. By contrast, the Leave network was more unified but also more porous. Within the networks themselves, the centrality of individual MPs did not always reflect their formal status.

The rise of global policy networks in education: analyzing Twitter debates on inclusive education using social network analysis

ABSTRACT With the Convention on the Rights of Persons with Disabilities (CRPD), inclusive education has become the main alternative to special schools for the schooling of children with disabilities. In order to promote the global implementation of inclusive education, a variety of stakeholders form networks to transmit and exchange information and knowledge concerning political strategies. However, little is known about the actors and actor groups involved in these networks. In the present paper, we draw on general network theory and policy network theory to examine the Twitter communication network that has formed around the topic of inclusive education. Using exploratory and inferential social network analysis, we show that disabled persons’ organizations and international organizations, such as the United Nations, hold a particularly central position in the network. This position enables them to potentially exert influence on the content and flow of information within the network. Aside from that, business actors are active participants in the network. Moreover, the Twitter network shows some structural patterns that can also be found in policy networks. Our findings help to map the global sphere of inclusive education promotion and can contribute to a broader understanding of global processes in inclusive education policy.

Community-Based Event Detection in Temporal Networks

We propose a method for detecting large events based on the structure of temporal communication networks. Our method is motivated by findings that viral information spreading has distinct diffusion patterns with respect to community structure. Namely, we hypothesize that global events trigger viral information cascades that easily cross community boundaries and can thus be detected by monitoring intra- and inter-community communications. By comparing the amount of communication within and across communities, we show that it is possible to detect events, even when they do not trigger a significantly larger communication volume. We demonstrate the effectiveness of our method using two examples—the email communication network of Enron and the Twitter communication network during the Boston Marathon bombing.

Existence of outsiders as a characteristic of online communication networks

AbstractOnline social networking services involve communication activities between large number of individuals over the public Internet and their crawled records are often regarded as proxies of real (i.e., offline) interaction structure. However, structure observed in these records might differ from real counterparts because individuals may behave differently online and non-human accounts may even participate. To understand the difference between online and real social networks, we investigate an empirical communication network between users on Twitter, which is perhaps one of the largest social networking services. We define a network of user pairs that send reciprocal messages. Based on the correlation between degree of adjacent nodes observed in this network, we hypothesize that this network differs from conventional understandings in the sense that there is a small number of distinctive users that we call outsiders. Outsiders do not belong to any user groups but they are connected with different groups, while not being well connected with each other. We identify outsiders by maximizing the degree assortativity coefficient of the network via node removal, thereby confirming that local structural properties of outsiders identified are consistent with our hypothesis. Our findings suggest that the existence of outsiders should be considered when using Twitter communication networks for social network analysis.

Mapping a Twitter scholarly communication network: a case of the association of internet researchers’ conference

This paper investigates how scholars in the digital humanities use Twitter for informal scholarly communication. In particular, the paper observes the hosting of an annual conference over a number of years by one association in order to see whether there was a change in the network configuration structure, the influential scholars in the network, the information sources, and the tweet contents. Annual conferences held by the Association of Internet Researchers over 3 years are used for data collection. According to our result, while the Twitter communication network developed into a bigger network, the basic form of the network configuration remained stable as a Tight Crowd structure and the core influential people were not much changed. Analyses on information source and content found topic changes in each year but consistency in the kind of information source and content.

Effects of Global Communication on National Competitiveness: Evidence from Twitter Communication Network

Drawing on a social capital perspective, central countries in global communication networks can be more competitive because they can easily and quickly obtain valuable information through the network. Based on data from Twitter’s Public Streams and the Global Competitiveness Report published by the World Economic Forum, this study empirically investigates how the centrality of countries in Twitter communication network impacts their competitiveness. A series of analyses were conducted to test the effects of centrality on national competitiveness. The results show that the centrality of countries in Twitter communication network has significant and positive effects on national competitiveness. Thus, we suggest that the global communication activity of citizens is critical in enhancing national competitiveness. By investigating how a country’s position in social networks affects national competitiveness through analyzing the social structures of Twitter communication network, this study provides motivation to further empirically explore national competitiveness from the social network perspective. Position identification of a country in the global communications network provides policymakers and practitioners with beneficial information to better understand the state of their country in relation to other nations. To improve national competitiveness, they should make more economic and cultural efforts to improve the global communication of their citizens.

The Effects of Homophily in Twitter Communication Network of U.S. House Representatives: A Dynamic Network Study

By employing a recently developed dynamic network model (separable temporal exponential-family random graph model), we study the effects of homophily based on gender, race, and political party on formation and dissolution of Representatives’ Twitter communications in forms of mentions and retweets over a period of six month. Our results indicate the presence of demographic homophily and value homophily in Representatives’ Twitter communications networks. More importantly, we find that female Representatives and Representatives from minor ethnical groups have a high tendency in forming and persisting Twitter communications with similar Representatives. We also observe that homophily based on demographics such as gender and race is more effective in Mentions network while homophily based on political party is more dominant in Retweets network.

Key-Node-Separated Graph Clustering and Layouts for Human Relationship Graph Visualization.

Many graph-drawing methods apply node-clustering techniques based on the density of edges to find tightly connected subgraphs and then hierarchically visualize the clustered graphs. However, users may want to focus on important nodes and their connections to groups of other nodes for some applications. For this purpose, it is effective to separately visualize the key nodes detected based on adjacency and attributes of the nodes. This article presents a graph visualization technique for attribute-embedded graphs that applies a graph-clustering algorithm that accounts for the combination of connections and attributes. The graph clustering step divides the nodes according to the commonality of connected nodes and similarity of feature value vectors. It then calculates the distances between arbitrary pairs of clusters according to the number of connecting edges and the similarity of feature value vectors and finally places the clusters based on the distances. Consequently, the technique separates important nodes that have connections to multiple large clusters and improves the visibility of such nodes' connections. To test this technique, this article presents examples with human relationship graph datasets, including a coauthorship and Twitter communication network dataset.

Investigating Political Polarization on Twitter: A Canadian Perspective

This article investigates political polarization in social media by undertaking social network analysis of a sample of 5,918 tweets posted by 1,492 Twitter users during the 2011 Canadian Federal Election. On the one hand, we observed a clustering effect around shared political views among supporters of the same party in the Twitter communication network, suggesting that there are pockets of political polarization on Twitter. At the same time, there was evidence of cross-ideological connections and exchanges, which may facilitate open, cross-party, and cross-ideological discourse, and ignite wider debate and learning as they are observed by nonaffiliated voters and the media at large. However, what appeared to be far less likely was any increased willingness or tendency for committed partisans to shift their allegiances as a result of their Twitter engagements, and we postulate that Twitter usage at present is likely to further embed partisan loyalties during electoral periods rather than loosen them; a dynamic that would seemingly contribute to political polarization.

Nonprofit and Public Sector Participation in Self‐Organizing Information Networks: Twitter Hashtag and Trending Topic Use During Disasters

Twitter's hashtag categorizations and trending topics offer accessible tools through which people communicate and self‐organize during disasters. This article examines Twitter communication networks, specifically the roles played by nonprofit and government agencies, that were engaged during four disasters: (1) The Boston Marathon bombing, (2) The West, Texas fertilizer plant explosion, (3) The Midwest spring flooding in Peoria, Illinois, and (4) The Moore, Oklahoma tornado. NodeXL and UCINET were used to collect and analyze data and determine network composition and structure. Nonprofit and government Twitter pages provided additional data. Findings indicate varied levels of engagement. While several state‐level public agencies and regional nonprofits used Twitter with some regularity, many failed to participate in hashtag networks that penetrated disparate user groups. The article concludes with a discussion on how organizations might more effectively promote response efforts through this medium.