Structural differences between open and direct communication in an online community

Most research of online communication focuses on modes of communication that are either open (like forums, bulletin boards, Twitter, etc.) or direct (like e-mails). In this work, we study a dataset that has both types of communication channels. We relate our findings to theories of social organization and human dynamics. The data comprises 36,492 users of a movie discussion community. Our results show that there are differences in the way users communicate in the two channels that are reflected in the shape of degree- and interevent time distributions. The open communication that is designed to facilitate conversations with any member shows a broader degree distribution and more of the triangles in the network are primarily formed in this mode of communication. The direct channel is presumably preferred by closer communication and the response time in dialogs is shorter. On a more coarse-grained level, there are common patterns in the two networks. The differences and overlaps between communication networks, thus, provide a unique window into how social and structural aspects of communication establish and evolve.

[1]  Hawoong Jeong,et al.  Comparison of online social relations in volume vs interaction: a case study of cyworld , 2008, IMC '08.

[2]  Linyuan Lu,et al.  Link Prediction in Complex Networks: A Survey , 2010, ArXiv.

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

[4]  A. Johansen.  Probing human response times , 2003, cond-mat/0305079.

[5]  Bernardo A. Huberman,et al.  Email as spectroscopy: automated discovery of community structure within organizations , 2003 .

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

[7]  Mason A. Porter,et al.  Social Structure of Facebook Networks , 2011, ArXiv.

[8]  Linda M. Harasim,et al.  Book Reviews : Global Networks: Computers and International Communication Linda M. Harasim (Ed.) Publisher: MIT Press, Cambridge, MA 92142 Year of Publication: 1993 Length: 410 pages Price: $29.95 , 1994 .

[9]  Pranee Liamputtong,et al.  Book review : Knowles, J. G. & Cole, A. L. (Eds.), Handbook of the arts in qualitative research, Thousand Oaks, CA, Sage, 2008. , 2009 .

[10]  James A. Danowski,et al.  CRISIS EFFECTS ON INTRAORGANIZATIONAL COMPUTER-BASED COMMUNICATION , 1985 .

[11]  M. McPherson,et al.  Birds of a Feather: Homophily in Social Networks , 2001 .

[12]  Jeremy N. Bailenson,et al.  The Evolution of Social Behavior over Time in Second Life , 2009, PRESENCE: Teleoperators and Virtual Environments.

[13]  Jean-Pierre Eckmann,et al.  Entropy of dialogues creates coherent structures in e-mail traffic. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[14]  Robin I. M. Dunbar,et al.  Size and structure of freely forming conversational groups , 1995, Human nature.

[15]  Lada A. Adamic,et al.  Knowledge sharing and yahoo answers: everyone knows something , 2008, WWW.

[16]  S. Bornholdt,et al.  Scale-free topology of e-mail networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  Stephanie Forrest,et al.  Email networks and the spread of computer viruses. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Albert-László Barabási,et al.  The origin of bursts and heavy tails in human dynamics , 2005, Nature.

[19]  C. Rodriguez-Sickert,et al.  The dynamics of a mobile phone network , 2007, 0712.4031.

[20]  P. Holland,et al.  Holland and Leinhardt Reply: Some Evidence on the Transitivity of Positive Interpersonal Sentiment , 1972, American Journal of Sociology.

[21]  David Lazer,et al.  Inferring friendship network structure by using mobile phone data , 2009, Proceedings of the National Academy of Sciences.

[22]  Jari Saramäki,et al.  Temporal Networks , 2011, Encyclopedia of Social Network Analysis and Mining.

[23]  M. Douglas,et al.  Pour une anthropologie de la consommation : le monde des biens; The world of goods : towards an anthropology of consumption , 2008 .

[24]  Seungyeop Han,et al.  Analysis of topological characteristics of huge online social networking services , 2007, WWW '07.

[25]  Haibo Hu,et al.  Disassortative mixing in online social networks , 2009, 0909.0450.

[26]  Linyuan Lü,et al.  Predicting missing links via local information , 2009, 0901.0553.

[27]  P. L. Krapivsky,et al.  Social balance on networks : The dynamics of friendship and enmity , 2006 .

[28]  Zbigniew Smoreda,et al.  Interplay between Telecommunications and Face-to-Face Interactions: A Study Using Mobile Phone Data , 2011, PloS one.

[29]  Michael Szell,et al.  Multirelational organization of large-scale social networks in an online world , 2010, Proceedings of the National Academy of Sciences.

[30]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[32]  S. Shen-Orr,et al.  Superfamilies of Evolved and Designed Networks , 2004, Science.

[33]  Petter Holme,et al.  Structure and time evolution of an Internet dating community , 2002, Soc. Networks.

[34]  Ananda Mitra,et al.  From Cyber Space to Cybernetic Space: Rethinking the Relationship between Real and Virtual Spaces , 2006, J. Comput. Mediat. Commun..

[35]  M. Newman,et al.  Why social networks are different from other types of networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[36]  M. Newman,et al.  Mixing patterns in networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[37]  A-L Barabási,et al.  Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.

[38]  Krishna P. Gummadi,et al.  Measurement and analysis of online social networks , 2007, IMC '07.

[39]  H. Mackay,et al.  Extending the Social Shaping of Technology Approach: Ideology and Appropriation , 1992 .

[40]  J. Davis.  Statistical analysis of pair relationships: symmetry, subjective consistency and reciprocity. , 1968, Sociometry.

[41]  Ioannis Konstas,et al.  On social networks and collaborative recommendation , 2009, SIGIR.

[42]  P. Kay,et al.  Universals and cultural variation in turn-taking in conversation , 2009, Proceedings of the National Academy of Sciences.

[43]  付伶俐.  打磨Using Language,倡导新理念 , 2014 .

[44]  A. Said,et al.  How social relationships affect user similarities , 2010 .

[45]  Carlo Ratti,et al.  Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis , 2006 .

[46]  Albert-László Barabási,et al.  Universal features of correlated bursty behaviour , 2011, Scientific Reports.

[47]  Diego Garlaschelli,et al.  Patterns of link reciprocity in directed networks. , 2004, Physical review letters.

[48]  M. Douglas,et al.  The World of Goods , 2021 .

[49]  L. Amaral,et al.  On Universality in Human Correspondence Activity , 2009, Science.