In the fast-growing scholarly big data background, social network technologies have recently
aroused widespread attention in academia and industry. The concept of academic social …

Social professional networks provide features not available in other networks. For example,
LinkedIn and AngelList facilitate professional networking, and GitHub enables committing …

Social network analysis (SNA) has been explored in many contexts with different goals.
Here, we use concepts from SNA for recommending collaborations in academic networks …

Social networks are complex structures that describe individuals (graph nodes) connected in
any social context (graph edges). Different metrics can be applied to those networks and …

Evaluating researchers (individually or in groups) usually depends on qualifying their
publications and influence. Here, we aid such crucial task by introducing two new metrics (C …

Precise and timely information about opportunities for potential collaborations is very vital for
the collaboration-intense research environment prevailing in innovation ecosystems. As the …

Evaluating researchers' scientific productivity usually relies on bibliometry only, which may
not be always fair. Here, we take a step forward on analyzing such data by exploring the …

The analysis of scientific collaboration networks has contributed significantly to improve the
understanding of the collaboration process between researchers. Additionally, it has helped …

Abstract The International Conference on Conceptual Modeling celebrated 40 years of
existence at its 38th edition held in Salvador, Brazil, on 4–7 November 2019. As one of the …

The growth and popularization of platforms on scientific production has been the subject of
several studies, producing relevant analyses of co-authorship behavior among groups of …