Mining network-level properties of Twitter altmetrics data

[1]  Christian Pieter Hoffmann,et al.  Making Academic Social Capital Visible , 2018 .

[2]  Mike Thelwall,et al.  Co‐saved, co‐tweeted, and co‐cited networks , 2018, J. Assoc. Inf. Sci. Technol..

[3]  Lutz Bornmann,et al.  Allegation of scientific misconduct increases Twitter attention , 2018, Scientometrics.

[4]  Weiwei Yan,et al.  Research universities on the ResearchGate social networking site: An examination of institutional differences, research activity level, and social networks formed , 2018, J. Informetrics.

[5]  Ali Daud,et al.  CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks , 2018, Appl. Soft Comput..

[6]  Mike Thelwall,et al.  Could scientists use Altmetric.com scores to predict longer term citation counts? , 2018, J. Informetrics.

[7]  Zohreh Zahedi,et al.  On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications , 2017, J. Informetrics.

[8]  Rodrigo Costas,et al.  Scholars on Twitter: who and how many are they? , 2017, ISSI.

[9]  Fereshteh Didegah,et al.  Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data , 2017, Scientometrics.

[10]  Shenmeng Xu,et al.  Global science discussed in local altmetrics: Weibo and its comparison with Twitter , 2017, J. Informetrics.

[11]  Kim Holmberg,et al.  Highly tweeted science articles: who tweets them? An analysis of Twitter user profile descriptions , 2017, Scientometrics.

[12]  Katy Jordan,et al.  Understanding the structure and role of academics' ego-networks on social networking sites , 2017 .

[13]  Christian Pieter Hoffmann,et al.  A relational altmetric? Network centrality on ResearchGate as an indicator of scientific impact , 2016, J. Assoc. Inf. Sci. Technol..

[14]  Peter Haddawy,et al.  A comprehensive examination of the relation of three citation-based journal metrics to expert judgment of journal quality , 2016, J. Informetrics.

[15]  James Wilsdon The Metric Tide: Independent Review of the Role of Metrics in Research Assessment and Management , 2016 .

[16]  Liz Allen,et al.  Alternative Perspectives on Impact: The Potential of ALMs and Altmetrics to Inform Funders about Research Impact , 2014, PLoS biology.

[17]  Katy Jordan,et al.  Academics and their online networks: Exploring the role of academic social networking sites , 2014, First Monday.

[18]  Vincent Larivière,et al.  Tweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter , 2014, J. Assoc. Inf. Sci. Technol..

[19]  Jure Leskovec,et al.  Community Detection in Networks with Node Attributes , 2013, 2013 IEEE 13th International Conference on Data Mining.

[20]  Ulrik Brandes,et al.  What is network science? , 2013, Network Science.

[21]  Heather A. Piwowar,et al.  Altmetrics: Value all research products , 2013, Nature.

[22]  Rodrigo Costas,et al.  Users, narcissism and control – tracking the impact of scholarly publications in the 21st century , 2012 .

[23]  Jörn Altmann,et al.  Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures , 2011, J. Informetrics.

[24]  Klaus Lehnertz,et al.  From brain to earth and climate systems: Small-world interaction networks or not? , 2011, Chaos.

[25]  E. David,et al.  Networks, Crowds, and Markets: Reasoning about a Highly Connected World , 2010 .

[26]  Bradley M. Hemminger,et al.  Scientometrics 2.0: New metrics of scholarly impact on the social Web , 2010, First Monday.

[27]  Henk F. Moed,et al.  Measuring contextual citation impact of scientific journals , 2009, J. Informetrics.

[28]  Albert-László Barabási,et al.  Scale-Free Networks: A Decade and Beyond , 2009, Science.

[29]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[30]  Mathieu Bastian,et al.  Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.

[31]  Claudio Castellano,et al.  Universality of citation distributions: Toward an objective measure of scientific impact , 2008, Proceedings of the National Academy of Sciences.

[32]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[33]  Phillip Bonacich,et al.  Some unique properties of eigenvector centrality , 2007, Soc. Networks.

[34]  U. Alon Network motifs: theory and experimental approaches , 2007, Nature Reviews Genetics.

[35]  Sebastian Wernicke,et al.  Efficient Detection of Network Motifs , 2006, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[36]  Ulrik Brandes,et al.  Efficient generation of large random networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[37]  S. Wasserman,et al.  Models and Methods in Social Network Analysis , 2005 .

[38]  Ronald Rousseau,et al.  Social network analysis: a powerful strategy, also for the information sciences , 2002, J. Inf. Sci..

[39]  S. Shen-Orr,et al.  Network motifs: simple building blocks of complex networks. , 2002, Science.

[40]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[41]  Saeed-Ul Hassan,et al.  Exploiting Social Networks of Twitter in Altmetrics Big Data , 2018 .

[42]  Chris Arney,et al.  Networks, Crowds, and Markets: Reasoning about a Highly Connected World (Easley, D. and Kleinberg, J.; 2010) [Book Review] , 2013, IEEE Technology and Society Magazine.

[43]  J. Kleinberg,et al.  Networks, Crowds, and Markets: Index , 2010 .

[44]  Stephen P. Borgatti,et al.  Centrality and network flow , 2005, Soc. Networks.

[45]  S. Wasserman,et al.  Models and methods in social network analysis , 2005 .

[46]  S. Shen-Orr,et al.  Networks Network Motifs : Simple Building Blocks of Complex , 2002 .

[47]  P. Jaccard Distribution de la flore alpine dans le bassin des Dranses et dans quelques régions voisines , 1901 .