%0 Journal Article %1 RefWorks:345 %A Otte, E. %A Rousseau, R. %D 2002 %J Journal of Information Science %K INFRASTRUCTURE; MODEL PERCOLATION; %N 6 %P 441-453 %T Social network analysis: a powerful strategy, also for the information sciences %V 28 %X Social network analysis (SNA) is not a formal theory in sociology but rather a strategy for investigating social structures. As it is an idea that can be applied in many fields, we study, in particular, its influence in the information sciences. Information scientists study publication, citation and co-citation networks, collaboration structures and other forms of social interaction networks. Moreover, the Internet represents a social network of an unprecedented scale. In all these studies social network analysis can successfully be applied. SNA is further related to recent theories concerning the free market economy, geography and transport networks. The growth of SNA is documented and a co-author network of SNA is drawn. Centrality measures of the SNA network are calculated. %@ 0165-5515

@article{RefWorks:345, abstract = {Social network analysis (SNA) is not a formal theory in sociology but rather a strategy for investigating social structures. As it is an idea that can be applied in many fields, we study, in particular, its influence in the information sciences. Information scientists study publication, citation and co-citation networks, collaboration structures and other forms of social interaction networks. Moreover, the Internet represents a social network of an unprecedented scale. In all these studies social network analysis can successfully be applied. SNA is further related to recent theories concerning the free market economy, geography and transport networks. The growth of SNA is documented and a co-author network of SNA is drawn. Centrality measures of the SNA network are calculated.}, added-at = {2010-09-05T22:59:08.000+0200}, author = {Otte, E. and Rousseau, R.}, biburl = {https://www.bibsonomy.org/bibtex/2cff538cb115cfd1be82fa755f461be0d/jomiralb}, interhash = {2f1996d810a80786e1bb65d9b838b894}, intrahash = {cff538cb115cfd1be82fa755f461be0d}, isbn = {0165-5515}, journal = {Journal of Information Science}, keywords = {INFRASTRUCTURE; MODEL PERCOLATION;}, note = {PT: J; PG: 13}, number = 6, pages = {441-453}, timestamp = {2010-09-05T22:59:14.000+0200}, title = {Social network analysis: a powerful strategy, also for the information sciences}, volume = 28, year = 2002 }