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Information we receive from and create together with our social networks is becoming increasingly important. Social information has in many ways a great impact on our information behaviour and there are many possible angles and layers in studying social aspects in information science. This book presents some of these angles. This book is relevant for various actors in the library and information science field and will be useful for researchers, educators and practitioners while coordinating empirical research on social information and by providing an overview of some of the present research about social information.

The purpose of this book is to collect current research representing different aspects of social information with emphasis on the new innovations supporting contemporary information behavior. To begin with, we need to define what we mean by social information in general and in the area of information science in particular. It is interesting to notice that social information is a concept used and researched in many different disciplines. Besides information science, the concept of social information has been studied in biology, psychology, and sociology among other disciplines.

Second Life is a user‐created online virtual world, which is a place where people with shared interests can meet and be together and share information. The purpose of this study is to investigate whether Second Life communities foster and nurture social capital, whether social capital within Second Life is related to social capital outside the virtual world, whether some characteristics affect the likelihood of users having social capital, and whether some existing measure of social capital can be modified and used to study social capital in Second Life.

The study was based on a statistical analysis of data gathered in a web survey of a convenience sample (n= 67) of Second Life residents. The social capital measure used was based on Bullen and Onyx.

Second Life is an environment that fosters the emergence of social capital. Residents who consider themselves producers have higher levels of social capital than those who consider themselves non‐producers. Having social capital within Second Life is unrelated to having social capital outside the virtual world. The consistency of the instrument proved to be excellent for measuring social capital within Second Life and good outside the virtual world.

The small sample size and the composition of the research population limit the ability to generalise the findings.

Second Life is a potent environment for community building and collective action. However, communities and collective action within Second Life cannot be based on social activity outside the virtual world.

The present study is the first systematic investigation of social capital in Second Life.

The purpose of this paper is to analyze the tweeting behavior of 37 astrophysicists on Twitter and compares their tweeting behavior with their publication behavior and citation impact to show whether they tweet research-related topics or not.

Astrophysicists on Twitter are selected to compare their tweets with their publications from Web of Science. Different user groups are identified based on tweeting and publication frequency.

A moderate negative correlation (ρ=−0.339) is found between the number of publications and tweets per day, while retweet and citation rates do not correlate. The similarity between tweets and abstracts is very low (cos=0.081). User groups show different tweeting behavior such as retweeting and including hashtags, usernames and URLs.

The study is limited in terms of the small set of astrophysicists. Results are not necessarily representative of the entire astrophysicist community on Twitter and they most certainly do not apply to scientists in general. Future research should apply the methods to a larger set of researchers and other scientific disciplines.

To a certain extent, this study helps to understand how researchers use Twitter. The results hint at the fact that impact on Twitter can neither be equated with nor replace traditional research impact metrics. However, tweets and other so-called altmetrics might be able to reflect other impact of scientists such as public outreach and science communication.

To the best of the knowledge, this is the first in-depth study comparing researchers’ tweeting activity and behavior with scientific publication output in terms of quantity, content and impact.