TY  - GEN
AB  - This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.--
AU  - Alhajj, Reda,
AU  - Hoppe, Ulrich,
AU  - Hecking, Tobias,
AU  - Bródka, Piotr,
AU  - Kazienko, Przemyslaw,
CN  - TK5105.5
DO  - 10.1007/978-3-319-90312-5
DO  - doi
ID  - 940024
KW  - Computer networks
KW  - Computer bootstrapping.
KW  - Online social networks.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-90312-5
N1  - Includes index.
N2  - This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.--
SN  - 9783319903125
SN  - 3319903128
T1  - Network intelligence meets user centered social media networks /
TI  - Network intelligence meets user centered social media networks /
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-90312-5
ER  -