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This paper aims to explore the usage of academic social networking sites (ASNSs) among the research scholars in Central Universities of Delhi, India.

A structured questionnaire was designed and personally distributed among 200 research scholars in Central Universities in Delhi in May 2016. Of this, 180 filled-in questionnaires were personally collected by the investigator, eliciting a response rate of 90 per cent.

Findings of the study reveals that research scholars have knowledge of ASNSs. ResearchGate and Academia are the most used ASNSs among research scholars. ResearchGate is used the most for connecting to other research scholars, and Academia is used for sharing and following research. Additionally, ASNSs help research scholars in research and learning and to share research ideas and experience. Finally, research scholars find ASNSs time-consuming and have cited data security as main concern for using academic social networks.

The findings of the study show that potential uses of ASNSs in Indian libraries are slow compared to the libraries of developed countries and some of the developing countries. It is suggested that universities under study may realize the benefits of ASNSs and incorporate these tools in their websites to enhance faster transfer and retrieval of information.

The results also stress upon the responsibility of research supervisors to accord knowledge of ASNSs among research scholars and encourage them to join and use ASNSs efficiently and effectively for building professional connections and collaborations in their research area.

The study is significant because it represents one of the earliest works to shed the light on the current level of use of SNSs and ASNSs by research scholars in Central Universities in Delhi, which are in primitive nature. They provide space for self-expression, research updates, expert advice, connecting with fellow scholars, creating and joining events and discussions, presenting their views on a particular topic, finding collaboration on projects, finding jobs and much more.

ASNSs have further promoted the open source movement. The paper apprises the academic stakeholders about the unique features, adoption, acceptability and usage of ASNSs for research work, exchange of information and collaborations, so that more productive and quality research is produced. The findings will also guide research scholars to find popular ASNSs, so that they can build more academic connections.

The purpose of this paper is to compare four popular academic social networking sites (ASNSs), namely, ResearchGate, Academia.edu, Mendeley and Zotero.

Evaluation method has been used with the help of checklist covering various features of ASNSs. A structured checklist has been prepared to compare four popular ASNSs, comprising 198 dichotomous questions divided into 12 broad categories.

The study found that performance of ASNSs using the latest features and services is not up to the mark, and none of the site is rated as “Excellent”. The sites lack in incorporation of session filters; output features; privacy settings and text display; and search and browsing fields. Availability of bibilographic features and general features is poor in these sites. Further, altmetrics and analytics features are not incorporated properly. User interface of the sites need to improve to draw researchers to use them. The study report reveals that ResearchGate scored the highest, 61.1 per cent points, and was ranked “above average”, followed by Academia.edu with 48.0 per cent and Mendeley with 43.9 per cent are ranked “average”. However, the Zotero (38.9 per cent) was ranked “below average”.

Accreditation agencies can identify suitable sites in the evaluation of institutions’ research output. Further, students and faculty members can choose the site suiting their needs. Library and information science professionals can use the checklist to impart training to the academic community which can help fostering research and development activities.

The study identifies features that ought to be available in a model ASNS. These features are categorized into 12 broad categories. The findings can also be used by developers of the sites to enhance functionalities. Institutions can choose suitable sites while collaborating with other institutions.

This paper aims to establish a theoretical search model on academic social networking sites (ASNSs).

Based on the characteristics of ASNSs and a previous extended sense-making model, this paper first presented an initial model of searching on ASNSs. Next, an online survey was conducted on ResearchGate to understand the search processes and outcomes with the help of a survey questionnaire. In total, 359 participants from 70 countries participated in this online survey. The survey results provided a basis for modifying the initial model.

Results showed that the theoretical model of searching on ASNSs included motives for searching on ASNSs, identification of needs, search triggered by information needs, search triggered by social needs and outcomes. The search triggered by information needs was significantly positively correlated with learning outcomes. Besides learning outcomes, searching on ASNSs could help user amplify their social networks and promote research dissemination.

Understanding users’ search habits and knowledge acquisition can provide insights for ASNSs to design an interface to support searching and enhance learning. Moreover, the proposed model can help users recognize their knowledge status and learning effects and improve their learning efficiency.

This paper contributes to establishing a theoretical model to understand users’ search process and outcomes on ASNSs.

Academic social network site (ASNS) is a new form of academic service in the social media age, and the study of ASNS user behavior is of great significance to academic librarians due to its recent popularity. This research explores the influencing factors of the continuous usage intention of ASNSs.

A survey of academics in China was conducted, and 361 responses were collected and analyzed with a structural equation model, which involves satisfaction, continuous usage intention, expectation confirmation, perceived usefulness (PU), social identity, referent network size and perceived interactivity (PI).

Satisfaction, expectation confirmation, PU, referent network size, social identity and PI significantly impact continuous usage intention. Satisfaction is a mediating variable by which expectation confirmation, PU, referent network size, social identity and other influencing factors affect continuous usage intention. Expectation confirmation and referent network size are two endogenous variables that can explain and predict the continuous usage intention of ASNSs.

Existing research does not consciously distinguish between adoption, use and continuous use, and only scant studies have conducted empirical research. Further, despite the widespread ASNS usage in China, Chinese scholars' studies are few, as existing studies have mainly focused on users of the UK, the US and India.

This study aims to investigate motivators, mediator and moderator of users' sustained information seeking on academic social networking sites (ASNSs).

Drawing upon the expectancy–value theory and related information-seeking literature, the study developed a theoretical model to explain why and how users intend to continue seeking information on ASNSs. Thereafter, a field survey with 385 participants was conducted to test the model. Finally, a content analysis of participants' post-survey feedback was performed to complement the model test results by showing more fine-grained findings.

Results suggest that information usefulness and information adoption (IA) are significant to users' sustained information seeking on ASNSs, while users' satisfaction with ASNSs may play a mediating role in the relationship between information usefulness and sustained information seeking. Additionally, self-efficacy for critical thinking (SCT) weakens the impact of IA on users' satisfaction with ASNSs. The post-survey feedback analysis indicates that information usefulness is more critical to sustained information seeking for users with high SCT, whereas IA becomes more crucial to users' satisfaction with ASNSs and sustained information seeking for users with low SCT.

Although the extant literature has distinguished between information seeking and sustained information seeking, empirical research into users' sustained information seeking on ASNSs is limited. The study fills this gap by proposing and validating relevant factors and the boundary condition of users' sustained information seeking.

This paper aims to explore question and answer (Q&A) participation and behavioral patterns on academic social networking sites (ASNSs) from the perspective of multiple subjects such as academic, corporate and government institutions.

Focused on the Q&A service of ASNSs, this study chooses ResearchGate (RG) as the target ASNS and collects a large-scale data set from it, involving a sample of users and a Q&A sample about academic, corporate and government institutions. First, it studies the law of Q&A participation and the distribution of the type of user according to the sample of users. Second, it compares question-asking behavior and question-answering behavior stimulated by questions among the three types of institutions based on the Q&A sample. Finally, it discusses the Q&A participation and behavioral patterns of the three types of institutions in academic Q&A exchanges with full consideration of institutional attributes, and provides some suggestions for institutions and ASNSs.

The results show that these three types of institutions generally have a low level of participation in the Q&A service of RG, and the numbers of questions and answers proposed by institutional users conform to the power-law distribution. There are differences in Q&A participation and Q&A behavioral patterns among academic, corporate and government institutions. Government and academic institutions have more users participating in the Q&A service and their users are more willing to ask questions, while corporate institutions have fewer users who participate in the Q&A service and their users are inclined to provide answers. Questions from corporate institutions attract much more attention than those from the other two types of institutions.

This study reveals and compares the Q&A participation and the behavioral patterns of the three types of institutions in academic Q&A, thus deepening the understanding of the attributes of institutions in the academic information exchange context. In practice, the results can help guide different institutions to use the Q&A service of ASNSs more effectively and help ASNSs to better optimize their Q&A service.

The purpose of this paper is twofold: the first aim is theoretical – to review extant literature on academic social networks, while considering current limitations and potential avenues for future research; the second objective is practical – to introduce an illustrative comparison guide that researchers can use to identify and distinguish between the functionalities of popular academic social networking sites (ASNSs), including Academia.edu, Mendeley.com, ResearchGate.net, Zotero.org, and Google Scholar.

The review of research is descriptive and conceptual.

The overarching outcomes of the review suggest that research on academic social networks falls into two primary arenas – promises (i.e. potential benefits to the academic community) and perils (i.e. reservations expressed by scholars). The authors recommend that a greater focus on the unique characteristics and utilities of specific sites and a more robust understanding of scholars’ use preferences and practices is warranted in future and ongoing research.

This is the first review of ASNSs to provide comparative descriptions for scholars to utilize when making decisions about adoption, use, and research.

Through a two-stage survey, this paper examines how researchers judge the quality of answers on ResearchGate Q&A, an academic social networking site.

In the first-stage survey, 15 researchers from Library and Information Science (LIS) judged the quality of 157 answers to 15 questions and reported the criteria that they had used. The content of their reports was analyzed, and the results were merged with relevant criteria from the literature to form the second-stage survey questionnaire. This questionnaire was then completed by researchers recognized as accomplished at identifying high-quality LIS answers on ResearchGate Q&A.

Most of the identified quality criteria for academic answers—such as relevance, completeness, and verifiability—have previously been found applicable to generic answers. The authors also found other criteria, such as comprehensiveness, the answerer's scholarship, and value-added. Providing opinions was found to be the most important criterion, followed by completeness and value-added.

The findings here show the importance of studying the quality of answers on academic social Q&A platforms and reveal unique considerations for the design of such systems.

Academic social (question and answer) Q&A sites are now utilised by millions of scholars and researchers for seeking and sharing discipline-specific information. However, little is known about the factors that can affect their votes on the quality of an answer, nor how the discipline might influence these factors. The paper aims to discuss this issue.

Using 1,021 answers collected over three disciplines (library and information services, history of art, and astrophysics) in ResearchGate, statistical analysis is performed to identify the characteristics of high-quality academic answers, and comparisons were made across the three disciplines. In particular, two major categories of characteristics of the answer provider and answer content were extracted and examined.

The results reveal that high-quality answers on academic social Q&A sites tend to possess two characteristics: first, they are provided by scholars with higher academic reputations (e.g. more followers, etc.); and second, they provide objective information (e.g. longer answer with fewer subjective opinions). However, the impact of these factors varies across disciplines, e.g., objectivity is more favourable in physics than in other disciplines.

The study is envisioned to help academic Q&A sites to select and recommend high-quality answers across different disciplines, especially in a cold-start scenario where the answer has not received enough judgements from peers.

As academic social Q&A networking websites become more popular, scholars are increasingly using them to meet their information needs by asking academic questions. However, compared with other types of social media, scholars are less active on these sites, resulting in a lower response quantity for some questions. This paper explores the factors that help explain how to ask questions that generate more responses and examines the impact of different disciplines on response quantity.

The study examines 1,968 questions in five disciplines on the academic social Q&A platform ResearchGate Q&A and explores how the linguistic characteristics of these questions affect the number of responses. It uses a range of methods to statistically analyze the relationship between these linguistic characteristics and the number of responses, and conducts comparisons between disciplines.

The findings indicate that some linguistic characteristics, such as sadness, positive emotion and second-person pronouns, have a positive effect on response quantity; conversely, a high level of function words and first-person pronouns has a negative effect. However, the impacts of these linguistic characteristics vary across disciplines.

This study provides support for academic social Q&A platforms to assist scholars in asking richer questions that are likely to generate more answers across disciplines, thereby promoting improved academic communication among scholars.