The structure of online social networks mirrors those in the offline world

We use data on frequencies of bi-directional posts to define edges (or relationships) in two Facebook datasets and a Twitter dataset and use these to create ego-centric social networks. We explore the internal structure of these networks to determine whether they have the same kind of layered structure as has been found in offline face-to-face networks (which have a distinctively scaled structure with successively inclusive layers at 5, 15, 50 and 150 alters). The two Facebook datasets are best described by a four-layer structure and the Twitter dataset by a five-layer structure. The absolute sizes of these layers and the mean frequencies of contact with alters within each layer match very closely the observed values from offline networks. In addition, all three datasets reveal the existence of an innermost network layer at ∼1.5 alters. Our analyses thus confirm the existence of the layered structure of ego-centric social networks with a very much larger sample (in total, >185,000 egos) than those previously used to describe them, as well as identifying the existence of an additional network layer whose existence was only hypothesised in offline social networks. In addition, our analyses indicate that online communities have very similar structural characteristics to offline face-to-face networks.     

Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure

ABSTRACT

Social media data are increasingly used by researchers to gain insights on individuals’ behaviors and opinions. Platforms like Twitter provide access to individuals’ postings, networks of friends and followers, and the content to which they are exposed. This article presents the methods and results of an exploratory study to supplement survey data with respondents’ Twitter postings, networks of Twitter friends and followers, and information to which they were exposed about e-cigarettes. Twitter use is important to consider in e-cigarette research and other topics influenced by online information sharing and exposure. Further, Twitter metadata provide direct measures of user’s friends and followers as opposed to survey self-reports. We find that Twitter metadata provide similar information to survey questions on Twitter network size without inducing recall error or other measurement issues. Using sentiment coding and machine learning methods, we find Twitter can elucidate on topics difficult to measure via surveys such as online expressed opinions and network composition. We present and discuss models predicting whether respondents’ tweet positively about e-cigarettes using survey and Twitter data, finding the combined data to provide broader measures than either source alone.     

Multifunctional teasing as a resource for identity construction in the talk of British Bangladeshi girls1

This paper explores how multifunctional teasing is used as a resource for the construction of linguistic identities, establishing a link between previous research on teasing and the field of language/discourse and identity. I draw on a corpus of 38 episodes of teasing contained in 80 minutes of spontaneous talk between five adolescent Bangladeshi girls who formed a friendship group at their comprehensive school in East London. The qualitative analysis of the data reveals that the teasing in this group can serve four main functions: an accomplishment of fun‐based solidarity; a release of underlying tensions; a display of toughness; but also a display of respect for other speakers’ dispreference for taboo subjects. Building on Ochs’(1992) notion of indirect indexicality my discussion of the data will focus on the social meanings of these different functions of teasing which range from maintaining and managing friendship to (re)negotiating class and culture‐related identities. I shall argue that the identity work achieved by and in the teasing needs to be seen in relation to stereotypical notions and ideologies about class, gender and culture‐specific (language) practices which shape the girls’ construction of themselves as British Bangladeshi working‐class adolescents.     

What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement: Twitter use during Gezi Park

As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysis to determine the roles played by those using Twitter to communicate during the Turkish Gezi Park uprising. Based on a network analysis of nearly 2.4 million tweets and a content analysis of a subset of 5126 of those tweets, we found that information sharing was by far the most common use of the tweets and retweets, while tweets that indicated leadership of the movement constituted a small percentage of the overall number of tweets. Using automated techniques, we experimented with coded variables from content analysis to compute the most discriminative tokens and to predict values for each variable using only textual information. We achieved 0.61 precision on identifying types of shared information. Our results on detecting the position of user in the protest and purpose of the tweets achieved 0.42 and 0.33 precision, respectively, illustrating the necessity of user cooperation and the shortcomings of automated techniques. Based on annotated values of user tweets, we computed similarities between users considering their information production and consumption. User similarities are used to compute clusters of individuals with similar behaviors, and we interpreted average activities for those groups.     

Heteroglossia in text‐messaging: Performing identity and negotiating relationships in a digital space

This article uses Bakhtin's concept of heteroglossia to explore how linguistic repertoires are exploited in the performance of identity and management of relationships through text‐messaging. The study focuses on text‐messages sent and received by ‘Laura’, a middle‐class woman who has returned from university to her family home in rural England. Qualitative analysis of Laura's texted exchanges, informed by quantitative corpus data and ethnographic interview, details the role of heteroglossia as Laura and her interlocutors position themselves in relation to each other and negotiate differences in gender, class, education, past experience, and personal aspiration. The study shows how heteroglossia can emerge even in interactions between individuals from similar backgrounds with largely shared language resources, and highlights the need for sociolinguistic studies of linguistic repertoire to consider the part that digitally‐mediated linguistic resources play in individuals’ wider identity projects.     

Geography of Twitter networks

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.     

Twitter publics: how online political communities signaled electoral outcomes in the 2010 US house election

Online social networks are an important setting for understanding the intersection of online communities and offline political processes. This paper analyzes the different ways that people discuss elections on Twitter. Using data from a random sample totaling 113,985 tweets and 30,995 users, we examine the differences between users who employ various strategies to talk about US 2010 Congressional candidates. We show that users who simply include the text of a candidate's name in a message exhibit different behaviors than those who use platform-specific mechanisms. Users who employ free-text tend to have younger accounts, are less likely to be ‘verified’, and generate fewer messages about candidates. Furthermore, candidates’ share of the free-text Twitter public has a larger correlation with their vote tallies than @mentions or hashtags. This research has methodological implications for studying the dynamics between online discourse and offline behavior. Overall, our findings support the view that forms of communication that are more accessible are more indicative of broader social trends.     

The role of network setting and gender in online content popularity

In this study, we explore the role of specific network structures that enhance social capital and assess the extent to which gender, social ties, and communication interaction relate to content popularity within online social networks (OSNs). Our results are based on an extensive OSN data set, containing over 100,000 members, connected by over 1.7 million links. The findings indicate that content popularity inference is more accurate when considering activity interaction among users and that network structures known as advantageous for amassing social capital in the offline environment are relevant online as well. We conclude by discussing how gender mediates the correlation between some network measures and the growth of users’ content popularity and provide a potential explanation for the emergence of gender differences.     

Gender‐specific Effects at Work: An Empirical Study of Four Countries

Using a questionnaire based upon the work of Geert Hofstede, we examined the effects of gender on the following three work‐related dimensions: the importance of work‐related goals, the preference for performance rewards and the preference for management styles. The study was conducted for a multinational corporation headquartered in Germany with branches in China, Japan and the USA. Even though some inter‐country differences in the importance of work‐related matters are identified and intra‐country gender differences exist in work goal evaluation, overall we find that men and women exhibit similar preferences concerning performance rewards and managerial styles. Finally, for the three dimensions studied, our data do not confirm the stereotypical work‐related gender differences often reported in the literature and popular press.     

Unless you go online you are on your own: blogging as a bridge in para-sport

Since its inception, the Web has been described as a liberating technology permitting individuals with disabilities to surmount barriers that otherwise prevent full societal engagement. Subsequent studies of Web-based communication have instead reported that disabling conditions are reproduced rather than challenged online. This paper uses interviews with 25 para-sport participants to provide an empirical account of how the affordances of the Web are leveraged in disability sport networks. Our findings suggest that individuals with disabilities are using blogs, Facebook, Twitter, and other forms of online communication to find information, engage in advocacy and outreach projects, and form strong networks that extend online and offline. We discuss our findings in light of Putnam’s conceptualization of bridging and bonding social capital, and describe how individuals and groups use weak ties to disseminate information and strong ties to foster a sense of belonging.     

Taking the longer view: Explaining Multicultural London English and Multicultural Paris French

The article explores the perplexing outcomes of comparative research projects in London and Paris on language change in multilingual areas of the cities populated by large numbers of recent immigrants with very diverse language backgrounds. In London, as in many other northern European cities, language contact on such a large scale has resulted in the emergence of a “multiethnolect”: a repertoire of innovative linguistic forms used by young people of all ethnicities, including monolingual non‐immigrant speakers. In Paris, however, there was no such repertoire. I propose four factors that are necessary for a multiethnolect to emerge and that explain why similar processes of population movement, immigration, and globalization have produced such different linguistic outcomes in London and Paris. These factors remind us that language evolution, like language use, is constrained not only by the social characteristics of individuals but also by the socio‐cultural historical contexts in which individuals live.     

The Relational Contexts of Migration: Mexican Women in New Destination Sites

This article assesses Mexican immigrant women's experiences of isolation and autonomy in three new destination sites in Montana, Ohio, and New Jersey. We highlight six case studies from our cross‐comparative data set of in‐depth interviews and field work with 98 women to illustrate the intersections between contexts of reception and gender relations in shaping women's settlement experiences. We find that women in sites with a concentrated Mexican population and a well‐developed social service infrastructure are relatively autonomous in accomplishing daily activities independent of their relationships with husbands or partners. In contrast, for women living in sites with few social support services, relationships with the men in their lives, what we call their “relational contexts,” matter for women's experiences of isolation or autonomy outside the home. Relational contexts have not been emphasized in previous literature on gender and migration but may be significant in shaping women's experiences across varying contexts of reception.     

Race and the beauty premium: Mechanical Turk workers’ evaluations of Twitter accounts

ABSTRACT

Race, gender, and physical attractiveness strongly affect perceptions of trustworthiness and subsequent face-to-face interactions. This study examines how social media users’ perceived gender, race, and physical attractiveness can impact their standing online. We test these broad hypotheses by having Amazon Mechanical Turk (MTurk) workers evaluate a sample of 816 Twitter accounts. Our results show a ‘beauty premium,’ where MTurk workers say they are more likely to follow Twitter accounts with attractive pro?le photos, and attractive photos are positively associated with evaluations of trust. However, very attractive Black male and female Twitter accounts are associated with lower evaluations of trust compared to their White counterparts. These findings suggest that social media users’ social characteristics, perceived from their username or profile image, can replicate offline inequality online.     

Speculative method and Twitter: Bots,energy and three conceptual characters

This paper aims to contribute to recent innovations in social scientific methodology that aspire to address the complex, iterative and performative dimensions of method. In particular, we focus on the becoming‐with character of social events, and propose a speculative method for engaging with the not‐as‐yet. This work, being part of a larger project that uses Speculative Design and ethnographic methods to explore energy‐demand reduction, specifically considers the ways in which energy‐demand reduction features in the Twitter‐sphere. Developing and deploying three automated Bots whose function and communications are at best obscure, and not uncommonly nonsensical, we trace some of ways in which they intervene and provoke. Heuristically, we draw on the ‘conceptual characters’ of idiot, parasite and diplomat in order to grasp how the Bots act within Twitter to evoke the instability and emergent eventuations of energy‐demand reduction, community and related practices. We conclude by drawing out some of the wider implications of this particular enactment of speculative method.     

Communities of practice: Legitimacy not choice

Communities of practice has emerged as an alternative to other current sociolinguistic models such as speech communities and social networks, particularly in the area of language and gender. The valorization of non‐linguistic behaviours as adding further explanatory power to sociolinguistic models is timely: it has often been implicit in linguistic study (through ethnography) but rarely been given recognition. However, the types of self‐constituting communities of interest to sociolinguists are not the same as the communities of learning studied by Lave and Wenger (1991) and Wenger (1998) . If this construct is to be useful to sociolinguists, then the mechanisms by which it models access, gate‐keeping and its internal hierarchy need development. Using Eckert's (2000) Belten High data, and other work on adolescent talk, it is argued that gaining legitimate peripheral participation is a matter of sanction from within the hierarchy. Individuals do not have open access to communities based solely on their desire to be part of that community and to take part in its practices. While practices may define the community, the community determines who has access to that practice.     

Language,multiple authenticities and social media: The online language practices of university students in Mongolia

This paper seeks to contribute to the current discussion of the sociolinguistics of globalization by revealing youth linguistic diversity from the perspective of the online mixed language practices of university students in contemporary post‐socialist Mongolia. Drawing on sets of Facebook data, the paper firstly argues that the online mixed youth language practices should be understood as ‘translingual’ not only due to their varied recombination of linguistic and cultural resources, genres, modes, styles and repertories, but also due to their direct subtextual connections with wider socio‐cultural, historical and ideological meanings. Secondly, online users metalinguistically claim authenticity in terms of their own translingual practices as opposed to other colliding language ideologies such as linguistic dystopia. How they relocalize the notion of authenticity, however, differs profoundly depending on their own often‐diverse criteria, identities, beliefs and ideas. This shows that, with mixing and recombining at its very core, the translingual practices of modern young speakers provide us with a significant insight into the co‐existence of multiple authenticities and origins of authenticity in an increasingly interconnected world.     

News and information leadership in the digital age

This paper examines information networks on social media to draw conclusions about influence relationships among members of the mass media. The project considers social networks and information patterns using Twitter data, first at the newspaper level and second at the journalist level. Using a computational approach, we look for evidence of elite-directed information flows, as well as exploring whether we find evidence of an increase in the democratization of newsmaking. This study finds that elite voices continue to dominate information networks in the digital age; however, it also finds evidence that information can move expeditiously from journalists in local and regional outlets to elite ones, and vice versa. We move further to explore the content of tweets among the journalist network, finding that there are substantial, direct interactions among elite and regional and local journalists. Our results taken together uncover new network patterns and provide a novel insight on the role of information technologies in newsmaking in the digital age.     

Building relationships on social networking sites from a social work approach

ABSTRACT

Our current age of connectedness has facilitated a boom in interactive dynamics within social networking sites. It is, therefore, possible for the field of Social Work to draw on these advantages in order to connect with the unconnected by strengthening online mutual support networks among users.

The aim of this article is to examine whether ‘connectedness’ in social networking sites improves online social capital and resilience of social service users.

Through our analysis of social networks carried out on an experimental model, we observed the patterns of connectedness on Facebook of 50 social service end-users from Málaga, Spain. The detection of online communities through the modularity algorithm has allowed us to ascertain whether individuals’ offline realities mirror their online realities. At the same time, we examined the influence certain interactions (likes, comments, etc.) have on leadership through online ethnography. Finally, online social capital, understood as the combination of connectedness and online interaction, has been correlated with users’ resilience. The results reveal that both connectedness and interaction feed themselves and have correlations with resilience.     

The influence of network structures of Wikipedia discussion pages on the efficiency of WikiProjects

As a platform for discussion and communication, talk pages play an essential role in Wikipedia to facilitate coordination, sharing of information and knowledge resources among Wikipedians. In this work we explore the influence of network structures of these pages on the efficiency of WikiProjects. Project efficiency is measured as the amount of work done by project members in a quarter. The study uses the comments on WikiProject talk pages to construct communication networks. The structural properties of these networks are studied using ideas from social network theory. We develop three hypotheses about how network structures influence project effectiveness and examine the hypotheses using a longitudinal dataset of 362 WikiProjects. The evaluation suggests that an intermediate level of cohesion with a core of influential users dominating network flow improves effectiveness for a WikiProject, and that greater average membership tenure relates to project efficiency in a positive way. We discuss the implications of this analysis for the future management of WikiProjects.     

Gender,rank, and social networks on an enterprise social media platform

In this paper, we harness server-side data—540,000 messages generated by 2085 users on TamTamy, an Enterprise Social Media (ESM) platform—to examine how gender and rank shaped “homophily” (the tendency to connect with similar others) and centrality in an ESM network. Drawing on the logic of “distinctiveness theory,” which argues that the numeric rarity of a category in a given setting promotes the use of that category as a basis for connecting with others, we hypothesized and found: (a) the tendency to connect with same-gender others was stronger among women than among men; (b) the tendency to connect with same-rank others was stronger among high-ranking employees than among low-ranking employees; (c) for high-ranking men, rank was more important than gender as a basis for connecting with others; and (d) for low-ranking women, gender was more important than rank as a basis for connecting with others. We also found that whereas higher ranking individuals were more likely to be in central (bridging) positions in the overall network, gender was unrelated to network centrality. Our study suggests that the affordances of ESM for open and distributed communications notwithstanding, the social networks that emerge on ESM platforms may reinforce social stratification on some dimensions while diminishing it on others.