How Academics Choose Their Co-Authors Online
A look at how academics present co-authors on online profiles.
― 5 min read
Table of Contents
- The Importance of Self-Presentation in Academia
- Factors Influencing Co-Authorship Panel Selection
- Using Google Scholar for Profile Management
- Investigating Co-Authorship Choices
- Key Findings on Scholar Preferences
- Analyzing Data Collection and Methodology
- Statistical Analysis of Scholar Choices
- Exploring Reciprocity in Co-Authorship
- Predicting Co-Authorship Patterns
- Conclusions and Implications
- Limitations and Future Research
- Original Source
- Reference Links
In today's online world, how people present themselves can significantly shape their identity and reputation. This is especially true for academics, who use online profiles to show their professional achievements and connect with others in their field. These profiles, such as those found on Google Scholar, allow researchers to select which colleagues (Co-authors) they want to highlight. This article looks into how academics choose to show their co-authors and why some might be favored over others.
The Importance of Self-Presentation in Academia
Online academic profiles serve as a platform for scholars to build their image. Scholars can decide which Publications and collaborations to present, effectively curating how they want to be viewed by peers, collaborators, and funding bodies. Many may choose to highlight co-authors who have strong research records, as this can enhance their own reputation by association. This practice relates to the concept of social capital, where connections can lead to various benefits in both personal and professional realms.
Factors Influencing Co-Authorship Panel Selection
The choice of which co-authors to showcase may not be straightforward. Several social norms may influence this decision. For example, if one scholar includes another in their profile, the other might feel obliged to reciprocate and include the first scholar in their own profile. The value gained from collaboration can also stem from shared experiences and mentorship rather than simply who is displayed in online profiles.
Using Google Scholar for Profile Management
Google Scholar is a popular tool among academics for managing online profiles. Scholars can display a comprehensive list of their publications, along with important metrics that illustrate their academic impact, such as citation counts and indexes. One prominent feature is the co-authorship panel, where scholars can choose co-authors to highlight based on their indexed publications.
Investigating Co-Authorship Choices
This study analyzes whether the selection of co-authors for profiles is influenced by their academic metrics, including how often they are cited. The analysis involved examining a large set of Google Scholar profiles, specifically looking at around 120,000 individual profiles. Each scholar's co-authors were identified, and their academic performance was measured.
Key Findings on Scholar Preferences
The findings indicate that scholars are likely to prefer co-authors who have higher academic metrics when choosing who to include in their co-authorship panel. However, an intriguing aspect of the results is that as a scholar’s own metrics increase, their tendency to include high-performing co-authors decreases. This suggests that well-established scholars may feel less of a need to showcase their connections to other prominent researchers.
Additionally, the analysis found that reciprocal relationships play a significant role in co-authorship choices. Scholars are more likely to include colleagues who have also included them in their own profiles, indicating a pattern of mutual acknowledgment.
Analyzing Data Collection and Methodology
To gather the necessary data, a systematic approach was taken. A selection of 359 initial Google Scholar profiles was analyzed, representing scholars from various academic disciplines such as biology, computer science, psychology, and philosophy. The profiles were not only collected from these scholars but also extended to their co-authors, leading to a comprehensive dataset.
The research focused on key metrics such as total citations and other relevant indexes over different time frames. Scholars' academic age and even gender were estimated to provide a clearer picture of the dataset as a whole.
Statistical Analysis of Scholar Choices
The analysis used basic statistical methods to determine if there was a significant difference in the academic metrics of co-authors included in the profiles compared to those who were not included. This involved calculating averages and conducting tests to confirm any notable differences.
Further, the research investigated how a scholar's own academic success impacts their selection of co-authors. The goal was to see if there was a correlation between a scholar's metrics and their likelihood of associating with higher-performing researchers.
Reciprocity in Co-Authorship
ExploringReciprocity was examined thoroughly throughout the analysis to understand its significance in co-authorship panel selections. The data revealed that a large percentage of co-authorship inclusions are reciprocated, meaning that if one scholar includes another, the other typically includes the first in return. Differences were noted among academic disciplines, with some fields showing higher levels of reciprocity than others.
Predicting Co-Authorship Patterns
A predictive model was developed to assess the likelihood of whether the inclusion of a scholar in another's co-authorship panel would be reciprocal. The model demonstrated a high level of accuracy in its predictions. The results highlighted that mutual inclusions were a strong factor in determining whether scholars would reciprocate.
Conclusions and Implications
The study showcases the dual influence of academic metrics and reciprocal relationships in shaping how scholars present themselves online. By favoring higher-performing co-authors, academics can enhance their visibility and reputation. However, as their own success rises, they may feel less compelled to highlight other prominent figures.
Moreover, the findings suggest that reciprocity is a common practice within the academic community. While various factors can influence co-authorship choices, the consistent trend towards mutual acknowledgment points to an established norm in academic collaboration.
Limitations and Future Research
However, the study does have limitations, mainly stemming from its focus on a single platform (Google Scholar). Different platforms may have unique characteristics that further influence how scholars manage their online presence. Future research should consider a broader range of factors, such as geographical influences and personal relationships, to provide a more rounded understanding of co-authorship dynamics.
In conclusion, understanding how scholars curate their online presence and the factors influencing their choices can offer valuable insights into the academic community's collaborative behavior. The impact of both scientometric measures and reciprocal relationships illustrates the complexities involved in academic self-presentation.
Title: The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles
Abstract: Online academic profiles are used by scholars to reflect a desired image to their online audience. In Google Scholar, scholars can select a subset of co-authors for presentation in a central location on their profile using a social feature called the Co-authroship panel. In this work, we examine whether scientometrics and reciprocality can explain the observed selections. To this end, we scrape and thoroughly analyze a novel set of 120,000 Google Scholar profiles, ranging across four disciplines and various academic institutions. Our results suggest that scholars tend to favor co-authors with higher scientometrics over others for inclusion in their co-authorship panels. Interestingly, as one's own scientometrics are higher, the tendency to include co-authors with high scientometrics is diminishing. Furthermore, we find that reciprocality is central to explaining scholars' selections.
Authors: Ariel Alexi, Teddy Lazebnik, Ariel Rosenfeld
Last Update: 2023-08-14 00:00:00
Language: English
Source URL: https://arxiv.org/abs/2308.07001
Source PDF: https://arxiv.org/pdf/2308.07001
Licence: https://creativecommons.org/licenses/by-nc-sa/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to arxiv for use of its open access interoperability.