Scientific collaboration or co-authorship has different forms and can be a factor in creating knowledge and even increasing the quality of scientific works. Beyond the quantity, qualitative factors also affect scientific collaboration. Two factors Collaboration intensity and member diversity can predict research quality, so teams with constant or diverse collaborators could affect co-authorship network's quality. Current study used scientometrics methods including SNA. Research data were "information literacy" related documents indexed in Scopus database, during years 1941-2019. Scopus.exe, UCINET 6 and NetDraw were used for analyzing data. Results show that phi-index has a negative relationship with number of co-authors, degree and ties. This means that the higher number of co-authors, degree and ties the lower phi-index, which is confirms phi-index meaning. Centrality betweenness has a positive relationship with the number of articles, co-authors and ties which means that betweenness of authors goes high if the author has more articles, co-authors and ties. Also, degree centrality has a significant positive relationship with the number of articles, betweenness, and ties. Findings related to correlations show that phi-index is a measure based on the number of articles and fixed teams of scientific collaboration while the centrality measures such as degree and betweenness are based on the number of articles, diversity in co-authors. This seems to be in contrast with the phi-index concept.