Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1731011.1731017acmconferencesArticle/Chapter ViewAbstractPublication PageskddConference Proceedingsconference-collections
research-article

User position measures in social networks

Published: 28 June 2009 Publication History

Abstract

Network analysis offers many centrality measures that are successfully utilized in the process of investigating the social network profile. The most important and representative measures are presented in the paper. It includes indegree centrality, proximity prestige, rank prestige, node position, outdegree centrality, eccentrality, closeness centrality, and betweenes centrality. Both feature analysis and experimental comparative studies revealed the general profile of selected measures.

References

[1]
Alexander C.N., "A method for processing sociometric data", Sociometry 26, pp. 268--269, 1963.
[2]
Bavelas A., "Communication patterns in task -- oriented groups", Journal of the Acoustical Society of America 22, pp. 271--282, 1950.
[3]
Beauchamp., M.A. "An improved index of centrality", Behavioral Science 10, pp. 161--163, 1973.
[4]
Berkhin P., "A Survey on PageRank Computing", Internet Mathematics 2(1), pp. 73--120, 2005.
[5]
Bonacich P., "Power and centrality: a family of measures", American Journal of Sociology 92, pp. 1170--1182, 1987.
[6]
Bonacich P., Lloyd P., "Eigenvector-like Measures of Centrality for Asymetriv Relations", Social Networks 23(3), pp. 191--201, 2001.
[7]
Botafogo R.A., Rivlin E., Shneiderman B., "Structural analysis of hypertexts: identifying hierarchies and useful metrics", ACM Transaction on Information Systems 10(2), pp. 142--180, 1992.
[8]
Brandes U., Erlebach T., "Network Analysis, Methodological Foundations", Springer - Verlag, Berlin, Heidelberg, Germany, 2005.
[9]
Brin S., Page L., "The Anatomy of a Large-Scale Hypertextual Web Search Engine", Computer Networks and ISDN Systems 30(1--7), pp. 107--117, 1998.
[10]
Brinkmeier M., "PageRank Revisited", ACM Transactions on Internet Technology 6(3), pp. 282--301, 2006.
[11]
Bródka P., Musiał K., Kazienko P., "A Performance of Centrality Calculation in Social Networks", International Conference on Computational Aspects of Social Networks, CASoN 2009, June 24--27, 2009, Fontainebleau, France, IEEE Computer Society, 2009.
[12]
Carpenter T., Karakostas G., Shallcross D., "Practical Issues and Algorithms for Analyzing Terrorist Networks", Invited talk at WMC 2002, 2002.
[13]
Carrington P., Scott J., Wasserman S., "Models and methods in Social Network Analysis", Cambrige University Press, Cambrige, 2005.
[14]
Degenne A., Forse M., "Introducing social networks", London: SAGE Publications Ltd, 1999.
[15]
Dijkstra E.W., "A note on two problems in connection with graphs", Numerische Mathematik 1, pp. 269--271, 1959.
[16]
Freeman L.C., "A set of measures of centrality based on betweenness", Sociometry 40, pp. 35--41, 1977.
[17]
Freeman L.C., Roeder D., Mulholland R.R., "Centrality in Social Networks: II. Experimental Results", Social Networks 2(2), pp. 119--141, 1980.
[18]
Friedkin N.E., "Theoretical foundations for centrality measures", American Journal of Sociology 96, pp. 1478--1504, 1991.
[19]
Hakimi S.L., "Optimum location of switching centers and the absolute centers and medians of a graph", Operations Research 12, pp. 450--459, 1964.
[20]
Hubbell C.H., "An input-output approach to clique detection", Sociometry 28, pp. 277--299, 1965.
[21]
Katz L., "A new status derived from sociometrics analysis", Psychometrica 18, pp. 39--43, 1953.
[22]
Kazienko P., "Associations: Discovery, Analysis and Applications", Oficyna Wydawnicza Politechniki Wroclawskiej, Wroclaw, 2008.
[23]
Kazienko P., Musial K., "Mining Personal Social Features in the Community of Email Users", SOFSEM 2008, The 34th International Conference on Current Trends in Theory and Practice of Computer Science, Nový Smokovec, Slovakia, January 19--25, 2008, Springer Verlag, Lecture Notes in Computer Science LNCS 4910, pp. 708--719, 2008.
[24]
Kazienko P., Musiał K., Kajdanowicz T., "Multidimensional Social Network in the Social Recommender System", IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2009, accepted for publication.
[25]
Kazienko P., Musiał K., Zgrzywa A., "Evaluation of Node Position Based on Email Communication", Control and Cybernetics, 38(1), 2009, in press.
[26]
Knoke D., Burt R.S., "Prominence", In Burt R.S. and Minor M.J. (eds.) Applied Network Analysis, Newbury Park, CA: Sage, pp. 195--222, 1983.
[27]
Krebs V., "The Social Life of Routers", Internet Protocol Journal 3, pp. 14--25, 2000.
[28]
Kumar R., Raghavan P., Rajagopalan S., Tomkins A., "The Web and Social Networks", IEEE Computer 35(11), pp. 32--36, 2002.
[29]
Moreno J.L., "Who shall survive?: Foundations of Sociometry, Group Psychotherapy, and Sociodrama", Washington, D.C.: Nervous and Mental Disease Publishing Co. Reprinted in 1953 (2nd Edition) and in 1978 (3rd Edition) by Beacon House, Inc., Beacon, New York, 1934.
[30]
Musiał K., Kazienko P., Kajdanowicz T., "Multirelational Social Networks in Multimedia Sharing Systems", Chapter 18 in N.T.Nguyen, G.Kolaczek, B.Gabrys (eds.) Knowledge Processing and Reasoning for Information Society, Academic Publishing House EXIT, Warszawa, pp. 275--292, 2008.
[31]
Proctor C.H., Loomis C.P., "Analysis of sociometric data", Research Methods in Social Relations, M. Jahoda, M. Deutch, S. W. Cok (eds.), Dryden Press, New York, pp. 561--586, 1951.
[32]
Ruta D., Kazienko P., Bródka P., "Network-Aware Customer Value in Telecommunication Social Networks", The 2009 International Conference on Artificial Intelligence, ICAI'09, July 13--16, 2009, Las Vegas, Nevada, USA, 2009, to appear.
[33]
Sabidussi G., "The centrality index of a graph", Psychmetrica 31(4), 1966.
[34]
Scott J., "Social network analysis: A handbook (2nd ed.)", London: Sage, 2000.
[35]
Shaw M.E., "Group structure and the behavior of individuals in small groups", Journal of Psychology 38, pp. 139--149, 1954.
[36]
Tutzaue F., "Entropy as a measure of centrality in networks characterized by path-transfer flow", Social Networks 29(2), pp. 249--265, 2007.
[37]
Wasserman S., Faust K., "Social network analysis: Methods and applications", New York: Cambridge University Press, 1994.

Cited By

View all
  • (2024)A comprehensive study on social networks analysis and mining to detect opinion leadersInternational Journal of Computers and Applications10.1080/1206212X.2024.238065546:8(641-650)Online publication date: 26-Jul-2024
  • (2024)Predicting users’ future interests on social networks: A reference frameworkInformation Processing & Management10.1016/j.ipm.2024.10376561:5(103765)Online publication date: Sep-2024
  • (2024)A bridge between influence models and control methodsApplied Network Science10.1007/s41109-024-00647-x9:1Online publication date: 16-Jul-2024
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SNA-KDD '09: Proceedings of the 3rd Workshop on Social Network Mining and Analysis
June 2009
92 pages
ISBN:9781605586762
DOI:10.1145/1731011
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2009

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. centrality measure
  2. measure comparison
  3. social network
  4. social network analysis

Qualifiers

  • Research-article

Funding Sources

Conference

KDD09
Sponsor:

Upcoming Conference

KDD '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)13
  • Downloads (Last 6 weeks)5
Reflects downloads up to 13 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2024)A comprehensive study on social networks analysis and mining to detect opinion leadersInternational Journal of Computers and Applications10.1080/1206212X.2024.238065546:8(641-650)Online publication date: 26-Jul-2024
  • (2024)Predicting users’ future interests on social networks: A reference frameworkInformation Processing & Management10.1016/j.ipm.2024.10376561:5(103765)Online publication date: Sep-2024
  • (2024)A bridge between influence models and control methodsApplied Network Science10.1007/s41109-024-00647-x9:1Online publication date: 16-Jul-2024
  • (2022)A Comparison of Centrality Measures for Community Evolution Discovery2022 8th International Conference on Web Research (ICWR)10.1109/ICWR54782.2022.9786228(183-188)Online publication date: 11-May-2022
  • (2021)DeepPick: A Deep Learning Approach to Unveil Outstanding Users Ranking with Public Attainable FeaturesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2021.3091503(1-1)Online publication date: 2021
  • (2021)How Networking and Social Capital Influence Performance: The Role of Long-Term TiesNetworks in the Global World V10.1007/978-3-030-64877-0_22(335-346)Online publication date: 20-Feb-2021
  • (2020)Current flood risk management practices in Ghana: Gaps and opportunities for improving resilienceJournal of Flood Risk Management10.1111/jfr3.1266413:4Online publication date: 2-Sep-2020
  • (2020)Urban Area Function Zoning Based on User Relationships in Location-Based Social NetworksIEEE Access10.1109/ACCESS.2020.29701928(23487-23495)Online publication date: 2020
  • (2020)Robustness and rich clubs in collaborative learning groups: a learning analytics study using network scienceScientific Reports10.1038/s41598-020-71483-z10:1Online publication date: 2-Sep-2020
  • (2020)Opinion leaders' detection in dynamic social networksConcurrency and Computation: Practice and Experience10.1002/cpe.569233:1Online publication date: 14-Apr-2020
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media