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Online communities form a challenging and still-evolving field for social network research. We highlight two themes that are at the core of social network literature: formative processes and structures, and discuss how these might be relevant in the context of online communities. Processes of tie formation might evolve differently in online communities. Second, we discuss how network structures emerge in different ways than previously studied, and should therefore be interpreted differently.

The increased popularity in using online social networks by recruiters has received much positive attention, particularly in the popular press. Using social network theory this paper aims to examine how the structure and governance mechanisms of these networks can assist this process. The authors ask: how do recruiters use online social networks to effectively attract and screen prospective job applicants?

The semi‐structured interview approach is used to gather data from 25 recruitment specialists.

The connector role is identified as a specific attraction mechanism recruiters use to create numerous weak ties, where some are so weak they barely constitute ties at all. The authors then identify branding, transparency and data specificity as three mechanisms recruiters use to strengthen these ties when performing the attracting and screening functions.

This is the first paper to analyse online recruitment, using social network theory, and hence it has important implications for both academic and practitioner audiences involved in recruitment.

The purpose of this paper is to investigate how women working in science, engineering and technology use online networking, for career and professional development purposes.

A combined qualitative and quantitative approach is taken, using interviews for the first phase of the research and online surveys for the second. The findings are discussed and presented with reference to theories on career development and in the context of recent work on women's networks and online social networking.

The paper defines a typology of online networks and identifies the motives women have for engaging with the different types. The data imply that women are successfully using online networks to find support, advice and collaboration from women working in similar environments. However, the data only identify a few examples where the use of online networks has led to a specific new job opportunity.

The findings are limited by the samples used, as they were self‐selected. In the first phase of the research, the sample was biased in favour of those using information and communication technologies. In the second phase, women using some form of online network were purposefully targeted in order to understand the motives and benefits associated with these activities.

The paper provides new insights into how professional women are networking online. It extends recent work into women's networks and networking strategies and presents a timely exploration into how these are being affected by the growth of online social networking.

The purpose of this paper is to focus on college students, users of online social networks, as main sources of information that helps advertisers understand the ways in which advertisements are perceived online.

Results were reached through qualitative research. Personal in‐depth interviews, utilizing Zaltman Metaphor Elicitation Technique (ZMET), were conducted among 20 college students. Interviews consisted of using screenshots of advertisements in online social networks to uncover respondents' reactions.

It was generally concluded that the users of online social networks do not dislike advertisements, but they simply do not notice them. Other content found in online social networks mitigates the attractiveness of the advertisements. Hence, the respondents reported that the brand recognition in online social networks was found to be much lower than the one created through other media channels.

Advertising in online social networks is a major unexplored advertising area. Interactivity on the internet shifts the ways in which users perceive advertising, and whether they perceive it at all. The paper discusses content that catches users' attention and its relation to advertisements.

Through literature review it has been revealed that no similar research exists. The findings of this research will aid advertisers in recognizing the possibility of advertising to the online social networks' population, taking into consideration different needs, and preferences of such users.

The present study aims to clarify how online friendships between local residents and tourists are made in a hospitality exchange network, one of the not-for-profit sharing economy platforms. Specifically, the study empirically examines three topics: the properties of dyadic relationships in the platform; the effect of face-to-face interactions on online friendships in the platform; and the role of locals in building host-guest relationships in the hospitality exchange network.

Social networks data in CouchSurfing.org were collected and analyzed using a social network analysis (SNA) program. Along with the descriptive analysis of the actors in the online hospitality network, several SNA indicators, including the degree of centrality, density and centralization, were measured to explore the nature of the network and identify the gatekeepers.

Findings suggest that latent ties between tourists and hosts are likely to be manifested through face-to-face events. In particular, local people play central roles in establishing host-guest relationships.

This study contributes to the body of knowledge on the sharing economy in hospitality by synthesizing two areas in the literature, the host-guest framework and the online hospitality networks.

The social psychological aspects of the sharing economy have yet to receive attention from hospitality scholars. In addition, studies have largely focused on profit-driven models in the sharing economy (e.g. Airbnb). This study fills this gap by examining the host and guest behavior empirically in one of the not-for-profit hospitality sharing economy platforms.

The purpose of this paper is to examine online community loyalty through an extension of the theory of planned behaviour by incorporating motivational drivers of enjoyment and compatibility and the moderating role of consumer traits.

Data were collected using an online survey of 382 Facebook users in Malaysia. Structural equation modelling was used to assess the hypothesised relationships.

Findings reveal that individuals’ attitude towards social network usage is associated with three factors: social influence, compatibility and enjoyment; attitude and usage behaviour are the determinants of online community loyalty. In addition, moderating effects are found in innovativeness and social network user experience.

Generalisation of the results to other contexts or populations should be made with caution given the study's focus on Facebook and its use of non-probability sampling. Future research can cross-validate or extend the theoretical model across different samples and/or virtual community settings.

This study highlights the importance of designing online brand community web sites which are not only appealing and enjoyable but also acts as an outlet for its members to build upon their experiences and showcase their innovativeness.

This research contributes to a better understanding of how personal factors can either strengthen or attenuate a member's loyalty to his or her online community. The research framework developed in this study can serve as a springboard for future research to examine other virtual community engagement such as blogging, online advertising and online public relation activities.

This study aims to explore the different effects of inter-community group networks and intra-community group networks on group innovation.

The authors used a pooled panel dataset of 12,111 self-organizing innovation groups in 463 game product creative workshop communities from Steam support to test the hypothesis. The pooled ordinary least squares (OLS) model is used for analyzing the data.

The results show that network constraint is negatively associated with the innovation performance of online groups. The average path length of the inter-community group network negatively moderates the relationship between network constraint and group innovation, while the average path length of the intra-community group network positively moderates the relationship between network constraint and group innovation. In addition, both the network density of inter-community group networks and intra-community group networks can negatively moderate the negative relationship between network constraint and group innovation.

The findings of this study suggest that network structural characteristics of inter-community networks and intra-community networks have different effects on online groups’ product innovation, and therefore, group members should consider their inter- and intra-community connections when choosing other groups to form a collaborative innovation relationship.

Informal learning networks are critical to response to calls for practitioners to reskill and upskill in off-site construction projects. With the transition to the coronavirus disease 2019 (COVID-19) pandemic, social media-enabled online knowledge communities play an increasingly important role in acquiring and disseminating off-site construction knowledge. Proximity has been identified as a key factor in facilitating interactive learning, yet which type of proximity is effective in promoting online and offline knowledge exchange remains unclear. This study takes a relational view to explore the proximity-related antecedents of online and offline learning networks in off-site construction projects, while also examining the subtle differences in the networks' structural patterns.

Five types of proximity (physical, organizational, social, cognitive and personal) between projects members are conceptualized in the theoretical model. Drawing on social foci theory and homophily theory, the research hypotheses are proposed. To test these hypotheses, empirical case studies were conducted on two off-site construction projects during the COVID-19 pandemic. Valid relational data provided by 99 and 145 project members were collected using semi-structured interviews and sociometric questionnaires. Subsequently, multivariate exponential random graph models were developed.

The results show a discrepancy arise in the structural patterns between online and offline learning networks. Offline learning is found to be more strongly influenced by proximity factors than online learning. Specifically, physical, organizational and social proximity are found to be significant predictors of offline knowledge exchange. Cognitive proximity has a negative relationship with offline knowledge exchange but is positively related to online knowledge exchange. Regarding personal proximity, the study found that the homophily effect of hierarchical status merely emerges in offline learning networks. Online knowledge communities amplify the receiver effect of tenure. Furthermore, there appears to be a complementary relationship between online and offline learning networks.

Proximity offers a novel relational perspective for understanding the formation of knowledge exchange connections. This study enriches the literature on informal learning within project teams by revealing how different types of proximity shape learning networks across different channels in off-site construction projects.