Computational Perspectives on Social Phenomena at Global Scales

The growth of social media and on-line social networks has opened up a set of fascinating new challenges and directions for researchers in both computing and the social sciences, and an active interface is growing between these areas. We discuss a set of basic questions that arise in the design and analysis of systems supporting on-line social interactions, focusing on two main issues: the role of network structure in the dynamics of social media sites, and the analysis of textual data as a way to study properties of on-line social interaction.

[1]  Jon M. Kleinberg,et al.  Echoes of power: language effects and power differences in social interaction , 2011, WWW.

[2]  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.

[3]  Lise Getoor,et al.  Relationship Identification for Social Network Discovery , 2007, AAAI.

[4]  Marko Dragojevic,et al.  Communication Accommodation Theory , 2015 .

[5]  Volume 22 , 1998 .

[6]  H. Giles,et al.  Accommodation theory: Communication, context, and consequence. , 1991 .

[7]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[8]  Jacob Ratkiewicz,et al.  Political Polarization on Twitter , 2011, ICWSM.

[9]  Lada A. Adamic,et al.  Memes Online: Extracted, Subtracted, Injected, and Recollected , 2011, ICWSM.

[10]  Jon M. Kleinberg,et al.  Characterizing and curating conversation threads: expansion, focus, volume, re-entry , 2013, WSDM.

[11]  Leslie A. Baxter,et al.  Engaging theories in interpersonal communication : multiple perspectives , 2008 .

[12]  M. Natale CONVERGENCE OF MEAN VOCAL INTENSITY IN DYADIC COMMUNICATION AS A FUNCTION OF SOCIAL DESIRABILITY , 1975 .

[13]  Rafael Alonso,et al.  Extracting Social Power Relationships from Natural Language , 2011, ACL.

[14]  Duncan J. Watts,et al.  Everyone's an influencer: quantifying influence on twitter , 2011, WSDM '11.

[15]  M. de Rijke,et al.  Predicting the volume of comments on online news stories , 2009, CIKM.

[16]  Dirk Brockmann Networks: An Introduction; Networks, Crowds, and Markets: Reasoning About a Highly Connected World , 2011 .

[17]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[18]  Munmun De Choudhury,et al.  Inferring relevant social networks from interpersonal communication , 2010, WWW '10.

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

[20]  J. Forgas,et al.  Social Cognition and Communication , 2013 .

[21]  Michael Gamon,et al.  Predicting Responses to Microblog Posts , 2012, NAACL.

[22]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[23]  Mao Ye,et al.  From user comments to on-line conversations , 2012, KDD.

[24]  I. C. Mogotsi,et al.  Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze: Introduction to information retrieval , 2010, Information Retrieval.

[25]  H. Kucera,et al.  Computational analysis of present-day American English , 1967 .

[26]  Jon M. Kleinberg,et al.  You Had Me at Hello: How Phrasing Affects Memorability , 2012, ACL.

[27]  Noah A. Smith,et al.  What's Worthy of Comment? Content and Comment Volume in Political Blogs , 2010, ICWSM.

[28]  Munmun De Choudhury,et al.  What makes conversations interesting?: themes, participants and consequences of conversations in online social media , 2009, WWW '09.

[29]  Jahna Otterbacher,et al.  Learning the lingo?: gender, prestige and linguistic adaptation in review communities , 2012, CSCW '12.

[30]  Lada A. Adamic,et al.  The Party Is Over Here: Structure and Content in the 2010 Election , 2011, ICWSM.

[31]  Eric Gilbert,et al.  Phrases that signal workplace hierarchy , 2012, CSCW.

[32]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[33]  Gözde Özbal,et al.  Exploring Text Virality in Social Networks , 2011, ICWSM.

[34]  H. Giles,et al.  Contexts of Accommodation: Developments in Applied Sociolinguistics , 2010 .

[35]  J. Pennebaker,et al.  Linguistic Style Matching in Social Interaction , 2002 .

[36]  Jure Leskovec,et al.  Meme-tracking and the dynamics of the news cycle , 2009, KDD.

[37]  Jon Kleinberg,et al.  Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter , 2011, WWW.

[38]  Susan T. Dumais,et al.  Mark my words!: linguistic style accommodation in social media , 2011, WWW.

[39]  Kristina Lerman,et al.  Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks , 2010, ICWSM.