Anatoliy Gruzd

Geography of Twitter networks

Abstract The paper examines the influence of geographic distance, national boundaries, language, and frequency of air travel on the formation of social ties on Twitter, a popular micro-blogging website. Based on a large sample of publicly available Twitter data, our study shows that a substantial share of ties lies within the same metropolitan region, and that between regional clusters, distance, national borders and language differences all predict Twitter ties. We find that the frequency of airline flights between the two parties is the best predictor of Twitter ties. This highlights the importance of looking at pre-existing ties between places and people.

Imagining Twitter as an Imagined Community

The notion of “community” has often been caught between concrete social relationships and imagined sets of people perceived to be similar. The rise of the Internet has refocused our attention on this ongoing tension. The Internet has enabled people who know each other to use social media, from e-mail to Facebook, to interact without meeting physically. Into this mix came Twitter, an asymmetric microblogging service: If you follow me, I do not have to follow you. This means that connections on Twitter depend less on in-person contact, as many users have more followers than they know. Yet there is a possibility that Twitter can form the basis of interlinked personal communities—and even of a sense of community. This analysis of one person’s Twitter network shows that it is the basis for a real community, even though Twitter was not designed to support the development of online communities. Studying Twitter is useful for understanding how people use new communication technologies to form new social connections and maintain existing ones.

Connected scholars: Examining the role of social media in research practices of faculty using the UTAUT model

Social media has become mainstream in recent years, and its adoption has skyrocketed. Following this trend among the general public, scholars are also increasingly adopting these tools for their professional work. The current study seeks to learn if, why and how scholars are using social media for communication and information dissemination, as well as validate and update the results of previous scholarship in this area. The study is based on the content analysis of 51 semi-structured interviews of scholars in the Information Science and Technology field. Unlike previous studies, the current work aims not only to highlight the specific social media tools used, but also discover factors that influence intention and use of social media by scholars. To achieve this, the paper uses the Unified Theory of Acceptance and Use of Technology (UTAUT), a widely adopted technology acceptance theory. This paper contributes new knowledge to methodological discussions as it is the first known study to employ UTAUT to interpret scholarly use of social media. It also offers recommendations about how UTAUT can be expanded to better fit examinations of social media use within scholarly practices.

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.

Enabling Community Through Social Media

Background Social network analysis provides a perspective and method for inquiring into the structures that comprise online groups and communities. Traces from interaction via social media provide the opportunity for understanding how a community is formed and maintained online. Objective The paper aims to demonstrate how social network analysis provides a vocabulary and set of techniques for examining interaction patterns via social media. Using the case of the #hcsmca online discussion forum, this paper highlights what has been and can be gained by approaching online community from a social network perspective, as well as providing an inside look at the structure of the #hcsmca community. Methods Social network analysis was used to examine structures in a 1-month sample of Twitter messages with the hashtag #hcsmca (3871 tweets, 486 unique posters), which is the tag associated with the social media–supported group Health Care Social Media Canada. Network connections were considered present if the individual was mentioned, replied to, or had a post retweeted. Results Network analyses revealed patterns of interaction that characterized the community as comprising one component, with a set of core participants prominent in the network due to their connections with others. Analysis showed the social media health content providers were the most influential group based on in-degree centrality. However, there was no preferential attachment among people in the same professional group, indicating that the formation of connections among community members was not constrained by professional status. Conclusions Network analysis and visualizations provide techniques and a vocabulary for understanding online interaction, as well as insights that can help in understanding what, and who, comprises and sustains a network, and whether community emerges from a network of online interactions.

Is Happiness Contagious Online? A Case of Twitter and the 2010 Winter Olympics

Is happiness contagious online? To answer this question, this paper investigates the posting behavior of users on Twitter.com, a popular online service for sharing short messages. Specifically, we use automated sentiment analysis to study a large sample of over 46,000 Twitter messages that reference the 2010 Winter Olympics. We determined that there are more positive messages than negative, and that positive messages are more likely to be forwarded than negative messages. However, we were not able to confirm with a reliable degree of certainty that the emotional context of messages is directly related to the users position in the Twitter network. It is likely that there are other factors involved as well. For example, we found that negative users were more prolific posters than positive users, suggesting their more argumentative and passionate nature. This paper concludes with some implications for the Twitter community and a description of our follow-up study.

Wired Academia: Why Social Science Scholars Are Using Social Media

Social media websites are having a significant impact on how collaborative relationships are formed and information is disseminated throughout society. While there is a large body of literature devoted to the ways in which the general public is making use of social media, there is little research regarding how such trends are impacting scholarly practices. This paper presents the results of a study on how academics, primarily in social sciences, are adopting these new sites.

Writing in the library: Exploring tighter integration of digital library use with the writing process

Information provision via digital libraries often separates the writing process from that of information searching. In this paper we investigate the potential of a tighter integration between searching for information in digital libraries and using those results in academic writing. We consider whether it may sometimes be advantageous to encourage searching while writing instead of the more conventional approach of searching first and then writing. The provision of ambient search is explored, taking the users ongoing writing as a source for the generation of search terms used to provide possibly useful results. A rapid prototyping approach exploiting web services was used as a way to explore the design space and to have working demonstrations that can provoke reactions, design suggestions and discussions about desirable functionalities and interfaces. This design process and some preliminary user studies are described. The results of these studies lead to a consideration of issues arising in exploring this design space, including handling irrelevant results and the particular challenges of evaluation.

Networked Influence in Social Media Introduction to the Special Issue

This special issue presents leading-edge work into how the characteristics of social media affect the nature of influence in networks. Our central thesis is that social influence has become networked influence. Influence is networked in two ways: by occurring in social networks and by propagating through online communication networks. We want to understand online social influence in its diversity: who is exercising influence, how it is done, how to measure influence, what its consequences are, and how online and offline influences intertwine in different contexts.

Investigating biomedical research literature in the blogosphere: a case study of diabetes and glycated hemoglobin (HbA1c)

OBJECTIVE The research investigated the relationship between biomedical literature and blogosphere discussions about diabetes in order to explore the role of Web 2.0 technologies in disseminating health information. Are blogs that cite biomedical literature perceived as more trustworthy in the blogosphere, as measured by their popularity and interconnections with other blogs? METHODS Web mining, social network analysis, and content analysis were used to analyze a large sample of blogs to determine how often biomedical literature is referenced in blogs on diabetes and how these blogs interconnect with others in the health blogosphere. RESULTS Approximately 10% of the 3,005 blogs analyzed cite at least 1 article from the dataset of 2,246 articles. The most influential blogs, as measured by in-links, are written by diabetes patients and tend not to cite biomedical literature. In general, blogs that do not cite biomedical literature tend not to link to blogs that do. CONCLUSIONS There is a large communication gap between health professional and personal diabetes blogs. Personal blogs do not tend to link to blogs by health professionals. Diabetes patients may be turning to the blogosphere for reasons other than authoritative information. They may be seeking emotional support and exchange of personal stories.