#mytweet via Instagram: Exploring User Behaviour across Multiple Social Networks

We study how users of multiple online social networks (OSNs) employ and share information by studying a common user pool that use six OSNs - Flickr, Google+, Instagram, Tumblr, Twitter, and YouTube. We analyze the temporal and topical signature of users' sharing behaviour, showing how they exhibit distinct behaviorial patterns on different networks. We also examine cross-sharing (i.e., the act of user broadcasting their activity to multiple OSNs near-simultaneously), a previously-unstudied behaviour and demonstrate how certain OSNs play the roles of originating source and destination sinks.Comment: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015. This is the pre-peer reviewed version and the final version is available at http://wing.comp.nus.edu.sg/publications/2015/lim-et-al-15.pd

Cloudworks: social networking for learning design

Why do some social networking services work and others fail? Can we apply the best of Web 2.0 principles to an educational context? More specifically can we use this as a means of shifting teaching practice to a culture of sharing learning ideas and designs? Can we harness the potential of technologies to create more engaging learning experiences for students? These are the key questions this paper addresses. We describe how we are using the concept of 'object-orientated social networking' to underpin the creation of a social networking tool, Cloudworks, for sharing learning ideas and designs

Linking Audiences to News: A Network Analysis of Chicago Websites

The mass media model, which sustained news and information in communities like Chicago for decades, is being replaced by a "new news ecosystem" consisting of hundreds of websites, podcasts, video streams and mobile applications. In 2009, The Chicago Community Trust set out to understand this ecosystem, assess its health and make investments in improving the flow of news and information in Chicagoland. The report you are reading is one of the products of the Trust's local information initiative, Community News Matters. "Linking Audiences to News: A Network Analysis of Chicago Websites" is one of the first -- perhaps the first -- research projects seeking to understand a local

Web Science emerges

The relentless rise in Web pages and links is creating emergent properties, from social networks to virtual identity theft, that are transforming society. A new discipline, Web Science, aims to discover how Web traits arise and how they can be harnessed or held in check to benefit society. Important advances are beginning to be made; more work can solve major issues such as securing privacy and conveying trust

Broadcasting to the masses or building communities: Polish political parties online communication during the 2011 election

The professionalisation of political communication is an evolutionary process (Lilleker & Negrine, 2002), a process that adapts to trends in communication in order to better engage and persuade the public. One of the most dramatic developments in communication has been the move towards social communication via the Internet. It is argued to affect every area of public communication, from commercial advertising and public relations to education (Macnamara, 2010). It is no longer sufficient to have an online presence; we are now in an age of i-branding; with the ‘i’ standing for interactive. Yet, trends in online political electoral campaigning over recent years indicate a shallow adoption of Web 2.0 tools, features and platforms; limited interactivity; and managed co-production. The Internet is now embedded as a campaigning tool however, largely, the technologies are adapted to the norms of political communication rather than technologies impacting upon internal organizational structures, party relationships to members and supporters, or the content and style of their communication. We examine these themes, and develop them through a focus on the targeting and networking strategies of political parties, in more detail in the context of the Polish parliamentary election of 2011. Through a sophisticated content analysis and coding scheme our paper examines the extent to which parties use features that are designed to inform, engage, mobilise or allow interaction, which audiences they seek to communicate with and how these fit communication strategies. Comparing these findings with maps built from webcrawler analysis we build a picture of the strategies of the parties and the extent to which this links to short and long term political goals. This paper firstly develops our rationale for studying party and candidate use of the Internet during elections within the Polish context. Secondly we develop a conceptual framework which contrasts the politics as usual thesis (Margolis & Resnick, 2000) with arguments surrounding the social shaping of technologies (Lievrouw, 2006) and the impact on organisational adoption of communication technologies and post-Obama trends in Internet usage (Lilleker & Jackson, 2011) and posit that, despite the threats from an interactive strategy (Stromer-Galley, 2000) one would be expected within the context of a networked society (Van Dyjk, 2006). Following an overview of our methodology and innovative analysis strategy, we present our data which focuses on three key elements. Firstly we focus on the extent to which party and candidate websites inform, engage, mobilise or permit interaction (Lilleker et al, 2011). Secondly we assess the extent to which websites attract different visitor groups (Lilleker & Jackson, 2011) and build communities (Lilleker & Koc-Michalska, 2012). Thirdly we assess the reach strategies of the websites using Webcrawler technology which analyses the use of hyperlinks and whether parties lock themselves within cyberghettoes (Sunstein, 2007) or attempt to harness the power of the network (Benkler, 2006)

A Relational Hyperlink Analysis of an Online Social Movement

In this paper we propose relational hyperlink analysis (RHA) as a distinct approach for empirical social science research into hyperlink networks on the World Wide Web. We demonstrate this approach, which employs the ideas and techniques of social network analysis (in particular, exponential random graph modeling), in a study of the hyperlinking behaviors of Australian asylum advocacy groups. We show that compared with the commonly-used hyperlink counts regression approach, relational hyperlink analysis can lead to fundamentally different conclusions about the social processes underpinning hyperlinking behavior. In particular, in trying to understand why social ties are formed, counts regressions may over-estimate the role of actor attributes in the formation of hyperlinks when endogenous, purely structural network effects are not taken into account. Our analysis involves an innovative joint use of two software programs: VOSON, for the automated retrieval and processing of considerable quantities of hyperlink data, and LPNet, for the statistical modeling of social network data. Together, VOSON and LPNet enable new and unique research into social networks in the online world, and our paper highlights the importance of complementary research tools for social science research into the web

Jointly they edit: examining the impact of community identification on political interaction in Wikipedia

In their 2005 study, Adamic and Glance coined the memorable phrase "divided they blog", referring to a trend of cyberbalkanization in the political blogosphere, with liberal and conservative blogs tending to link to other blogs with a similar political slant, and not to one another. As political discussion and activity increasingly moves online, the power of framing political discourses is shifting from mass media to social media. Continued examination of political interactions online is critical, and we extend this line of research by examining the activities of political users within the Wikipedia community. First, we examined how users in Wikipedia choose to display (or not to display) their political affiliation. Next, we more closely examined the patterns of cross-party interaction and community participation among those users proclaiming a political affiliation. In contrast to previous analyses of other social media, we did not find strong trends indicating a preference to interact with members of the same political party within the Wikipedia community. Our results indicate that users who proclaim their political affiliation within the community tend to proclaim their identity as a "Wikipedian" even more loudly. It seems that the shared identity of "being Wikipedian" may be strong enough to triumph over other potentially divisive facets of personal identity, such as political affiliation.Comment: 33 pages, 5 figure