The aim of this paper is to explain principles of object oriented modeling in the scope of modeling dynamic social networks. As such, the approach of object oriented modeling is advocated within the field of organizational research that focuses on networks.
We provide a brief introduction into the field of social networks and present an overview of existing network models and methods. Subsequently we introduce an elementary problem field in the social sciences in general, and in studies of organizational change and design in particular: the micro-macro link. We argue that the most appropriate way to hadle this problem is the principle of methodological individualism. For social network analysis, to contribute to this theoretical perspective, it should include an individual choice mechanism and become more dynamically oriented. Subsequently, object oriented modeling is advocated as a tool to meet these requirements for social network analysis. We show that characteristics of social systems that are emphasized in the methodological individualistic approach have their direct equivalences in object oriented models. The link between the micro level where actors act, and the macro level where phenomena occur as a consequence and cause of these actions, can be modelled in a straightforward way.
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AbelsonR. P. and A.Bernstein (1963), “A Computer Model of Community Referendum Controversies,” Public Opinion Quarterly 27, 93–122.
AlbaR.D. (1973), “A Graph Theoretic Definition of a Sociometric Clique,” Journal of Mathematical Sociology 3, 113–126.
AllanG. (1990), Friendship: Developing a Sociological Perspective. New York: Harvester.
AndersonC.J., S.S.Wasserman and K.Faust (1992), “Building Stochastic Blockmodels,” Social Networks 14, 137–161.
AnthonisseJ.M. (1971), The Rush in a Directed Graph. Amsterdam: Mathematical Centre.
BaerveldtC. and T.A.B.Snijders (1994), “Influences on and from the Segmentation of Networks: Hypotheses and Tests,” Social Networks 16, 213–232.
BanksD.L. and K.M.Carley (1996), “Models for Network Evolution,” Journal of Mathematical Sociology 21, 173–196.
Barnes J.A. (1979), “Network Analysis: Orienting Notion, Rigorous Technique or Substantive Field of Study,” in P.W.Holland and S.Leinhardt (Eds.) Perspectives on Social Network Research, New York: Academic Press.
BartholomewD.J. (1967), Stochastic Models for Social Processes. New York: Wiley.
BavelasA. (1950), “Communication Patterns in Task Oriented Groups,” Journal of the Acoustical Society of America 22, 271–288.
BeauchampM.A. (1965), “An Improved Index of Centrality,” Behavioral Science 10, 161–163.
BerkowitzS.D. (1982), An Introduction to Structural Analysis: the Network Approach to Social Research. Toronto: Butterworths.
BlumT.C. (1985), “Structural Constraints on Interpersonal Relationships: A Test of Blau's Macrosociological Theory,” American Journal of Sociology 91, 511–521.
BonacichP. (1987), “Power and Centrality; A Family of Measures,” American Journal of Sociology 92, 1170–1182.
BorgattiS.P., M.G.Everett and P.R.Shirey (1990), “LS Sets, Lambda Sets and Other Cohesive Subsets,” Social Networks 12, 337–357.
BoudonR. and F.Bourricaud (1982), Dictionnaire Critique de la Sociologie, Paris: Presses Universitaires de France.
BoydJ.P. (1991), Social Semigroups: A Unified Theory of Scaling and Blockmodeling as Applied to Social Networks, Fairfax, VA: George Mason University Press.
BurtR. (1982), Toward a Structural Theory of action: Network Models of Social Strucgure, Perception, and Action. New York: Academic Press.
BurtR. (1992), Structural Holes. The Social Structure of Competition. Cambridge, MA: Harvard University Press.
Carley K. (1989), “The Value of Cognitive Foundations for Dynamic Social Theory,” Journal of Mathematical Sociology 14, 171–208.
CarleyK. (1990), “Group Stability: A Socio-Cognitive Approach,” Advances in Group Processes 7, 1–44.
CarleyK. (1991a), “A Theory of Group Stability,” American Sociological Review 56, 331–354.
CarleyK. (1991b), “Growing Up: The Development and Acquisition of Social Knowledge,” in J.A.Howard and P.L.Callero (Eds.) The Self-Society Dynamic: Cognition, Emotion, and Action, Cambridge, MA: Cambridge University Press.
Carley K.M. and M.J. Prietula (1994), “ACTS Theory: Extending the Model of Bounded Rationality,” in K.M.Carley and M.J.Prietula (Eds.) Computational Organization Theory, Hillsdale, NJ: Lawrence Erlbaum Associates.
CartwrightD. and F.Harary (1956), “Structural Balance: A Generalization of Heider's Theory,” Psychological Review 63, 277–293.
Coleman J.S. (1964), Introduction to Mathematical Sociology. New York: Free Press of Glencoe.
Coleman J.S. (1986), “Micro Foundations and Macrosocial Theory,” in S.Lindenberg, J.S.Coleman and S.Nowak (Eds.), Approaches to Social Theory, New York: Russell Sage Foundation.
Coleman J.S. (1990), Foundations of Social Theory, Cambridge, MA: Harvard University Press.
DavisJ.A. (1963), “Structural Balance, Mechanical Solidarity, and Interpersonal Relations,” American Journal of Sociology 68, 444–463.
DavisJ.A. (1967), “Clustering and Structural Balance in Graphs,” Human relations 20, 181–187.
DavisJ.A. and S.Leinhardt (1972), “The Structure of Positive Interpersonal Relations in Small Groups,” in J.Berger (Ed.) Sociological Theories in Progress, vol. 2, Boston: Houghton-Mifflin.
DawkinsR. (1987), The Blind Watchmaker: Why the Evidence of Evolution Reveals a Universe Without Design. New York: Norton.
DeVosH. and E.P.H.Zeggelink (1994), “The Emergence of Reciprocal Altruism and Group Living: An Object Oriented Simulation Model of Human Social Evolution,” Social Science Information 33, 493–517.
Doreian P.D. (1979), “Structural Control Models of Group Processes,” in P.W.Holland and S.Leinhardt (Eds.) Perspectives on Social Network Research, New York: Academic Press.
DoreianP., R.Kapuscincki, D.Krackhardt and J.Szcypula (1996), “A Brief History of Balance Through Time,” Journal of Mathematical Sociology 21, 113–131.
FararoT.J. and J.Skvoretz (1984), “Biased Networks and Social Structure Theorems, Part II.” Social Networks 6, 223–258.
FaustK. (1988), “Comparison of Methods for Positional Analysis: Structural and General Equivalence,” Social Networks 10, 313–342.
FaustK. and S.S.Wasserman (1992), “Blockmodels: Interpretation and Evaluation,” Social Networks 14 5–61.
FestingerL. (1950), “Informal Social Communication,” Psychological Review 57, 271–282.
Fiksel J. (1980), “Dynamic Evolution in Societal Networks,” Journal of Mathematical Sociology 7, 27–46.
FischerC.S. (1982), To Dwell Among Friends: Personal Networks in Town and City, Chicago: University of Chicago Press.
FienbergS.E. and S.S.Wasserman (1981), “Categorical Data Analysis of Simple Sociometric Relations” in S.Leinhardt (Ed.) Sociological Methodology, San Francisco: Jossey-Bass.
FrankK.A. (1995), “Identifying Cohesive Subgroups,” Social Networks 17, 27–56.
FrankO. (1991), “Statistical Analysis of Change in Networks,” Statistica Neerlandica 45, 283–293.
Freeman L.C. (1979), “Centrality in Social Networks: Conceptual Clarification,” Social Networks 1, 215–239.
FreemanL.C. (1992), “The Sociological Concept of ‘Group”: An Empirical Test of Two Models,” American Journal of Sociology 98, 152–166.
FreemanL.C., S.P.Borgatti, and D.White (1991), “Centrality in Valued Graphs: A Measure of betweenness based on Network Flow,” Social Networks 13, 141–154.
FreemanL.C., D.R.White and A.K.Romney (Eds.) (1989), Research Methods in Social Network Analysis, Fair-fax, VA: George Mason University Press.
FrenchJ.R. (1956), “A Formal Theory of Social Power,” Psychological review 63, 181–194.
GoldbergA. and D.Robson (1983), Smaltalk-80. The Language and its Implementation. Reading, MA: Addison-Wesley.
HageP. and F.Harary (1995), “Eccentricity and Centrality in Networks,” Social Networks 17, 57–63.
HallinanM.T. (1974), The Structure of Positive Sentiment. New York: Elsevier.
HallinanM.T. (1979), “The Process of Friendship Formation,” Social Networks 1, 93–210.
HararyF. (1969), Graph Theory. Reading, MA: Addison-Wesley.
HararyF., R.Z.Norman and M.Cartwright (1965), Structural Models: An Introduction to the Theory of Directed Graphs. New York: Wiley.
HeiderF. (1958), The Psychology of Interpersonal Relations. New York: Wiley.
Hoede, C. (1978), “A New Status Score for Actors in a Social Network,” Twente University, Department of Applied Mathematics.
HoivikT. and N.P.Gleditsch (1970), “Structural Parameters of Graphs; A Theoretical Investigation,” Quality and Quantity 4, 193–209.
HollandP.W. and S.Leinhardt (1970), “A Method for Detecting Structure in Sociometric Data,” American Journal of Sociology 70, 492–573.
HollandP.W. and S.Leinhardt (1971), “Transitivity in Structural Models of Small Groups,” Comparative group studies 2, 107–124.
HollandP.W. and S.Leinhardt (1972), “Some Evidence on the Transitivity of Positive Interpersonal Sentiment,” American Journal of Sociology 72, 1205–1209.
HollandP.W. and S.Leinhardt (1976), “Local Structure in Social Networks,” in D.Heise (Ed.), Sociological Methodology, San Francisco: Jossey Bass.
HollandP.W. and S.Leinhardt (1977a), “A Dynamic Model for Social Networks,” Journal of Mathematical Sociology 5, 5–20.
HollandP.W. and S.Leinhardt (1977b), “Social Structure as a Network Process,” Zeitschrift für Soziologie 6, 386–402.
HollandP.W. and S.Leinhardt (1979), Perspectives on Social Network Research. New York: Academic Press.
HollandP.W. and S.Leinhardt (1981), “An Exponential Family of Probability Distributions for Directed Graphs,” Journal of the American Statistical Association 76, 33–50.
HubbellC.H. (1965), “An Input-Output Approach to Clique Identification,” Sociometry 28, 377–399.
Hummel, H.J. and W. Sodeur (1984), Strukturentwicklung unter Studienanfangern. Ein Werkstattbericht, Universitat Duisburg.
Hummel H.J. and W. Sodeur (1990), “Evaluating Models of Change in Triadic Sociometric Structures,” in J.Weesie and H.Flap (Eds.) Social networks through time, Utrecht: ISOR.
HummonN.P. and T.J.Fararo (1995), “Actors and Networks as Object,” Social Networks 17, 1–20.
Hunter J.E. (1978), “Dynamic Sociometry,” Journal of Mathematical Sociology 6, 87–138.
Hunter J.E. (1979), “Toward a General Framework for Dynamic Theories of Sentiment in Small Groups Derived from Theories of Attitude Change,” in P.W.Holland and S.Leinhardt (Eds.) Perspectives on Social Network Research, New York: Academic Press.
JohnsenE.C. (1986), “Structure and Process: Sgreement Models for Friendship Formation,” Social Networks 8, 257–306.
JohnsenE.C. (1989), “The Micro-Macro Connection: Exact Structure and Process,” in F.Roberts (Ed.) Applications of Combinatorics and Graph Theory to the Biological and Social Sciences. New York: Springer Verlag.
KatzL. (1953), “A New Status Index Derived from Sociometric Data Analysis,” Psychometrika 18, 39–43.
KatzL. and C.H.Proctor (1959), “The Concept of Configuration of Interpersonal Relations in a Group as a Time Dependent Stochastic Process,” Psychometrika 24, 317–327.
KemenyJ.G., and J.L.Snell (1962), Mathematical Models in the Social Sciences, Waltham, MA: Blaisdell.
KillworthP.D. and H.R.Bernard (1976), “A Model of Human Group Dynamics,” Social Science Research 5, 173–224.
KnokeD. and J. H.Kuklinski (1982), Network Analysis: Quantitative Applications in the Social Sciences No. 28, London: Sage.
KrempelL. (1987), Soziale Interaktionen: Einstellungen, Biographien, Situationen und Beziehungsnetzwerke; Dynamische Ereignisanalysen. Bochum: Ulrich Schallwig Verlag.
Krempel, L. (1988), “Interpersonal Structure and Contact: Empirical Evidence from the Analysis of a Series of Social Networks in Time and Contact as a Process. An Analysis with Tools of ‘Event History’ Analysis,” Unpublished manuscript.
Lazega, E. and M. van Duijn (1996), “Formal Structure and Exchanges of Advice in a Law Firm: A Random Effects Model,” forthcoming.
LeavittH.J. (1951), “Some Effects on Communication Patterns on Group Performance,” Journal of Abnormal and Social Psychology 46, 38–50.
LeendersR.T.A.J. (1995), Structure and Influence: Statistical Models for the Dynamics of Actor Attributes, Network Structure and Their Interdepenence. Amsterdam: Thesis.
LeendersR.T.A.J. (1996), “Dynamics of Friendship and Best Friendship Choices,” Journal of Mathematical Sociology 21, 133–148.
Lehermann Madsen O. and B. Moller-Pedersen (1988), “What Object-Oriented Programming May Be—and What It Does Not Have To Be,” in S.Giessing and K.Nygaard (Eds.) ECOOP 88. European Conference on Object-Oriented Programming, Berlin: Springer Verlag.
Levitt R.E., G.P. Cohen, J.C. Kunz, C.I. Nass, T. Christianse, and Y. Jin (1994), “The ‘Virtual Design Team’: Simulating How Organization Structure and Information Processing Tools Affect Team Performance,” in K.M.Carley and M.J.Prietula (Eds.) Computational Organization Theory, Hillsdale, NJ: Lawrence Erlbaum Associates.
LindenbergS. (1985), “An Assessment of the New Political Economy: Its Potential for the Social Sciences and for Sociology in Particular,” Sociological Theory 3, 99–114.
LindenbergS. (1990), “Homo Socio-Economicus: The Emergence of a General Model of Man in the Social Sciences,” Journal of Institutional and Theoretical Economics (JITE) 146, 727–748.
LorrainF., and H.C.White (1971), “Structural Equivalence of Individuals in Social Networks,” Journal of Mathematical Sociology 1, 49–80.
LuceR.D. and A.Perry (1949), “A Method of Matrix Analysis of Group Structure,” Psychometrika 14, 94–116.
MasuchM. and P.LaPotin (1989), “Beyond Garbage Cans: An AI Model of Organizational Choice,” Administrative Science Quarterly 34, 38–67.
MayerT.F. (1984), “Parties and Networks: Stochastic Models for Relationship Networks,” Journal of Mathematical Sociology 10, 51–103.
MitchellJ.C. (1969), Social Network in Urban Situations. Manchester: Manchester University Press.
MokkenR.J. (1979), “Cliques, Clubs and Clans,” Quality and Quantity 13, 161–173.
MullinM. (1989), Object Oriented Program Design with Examples in C ++. Reading, MA: Addison-Wesley.
Nohria N. and R.G. Eccles (1992), (Eds.) Networks and Organizations. Boston: Harvard Business School Press.
Objectworks (1989), Smalltalk-80 User's Guide, Parc Place Systems.
Objectworks (1990), Smalltalk Release 4, User's Guide, Parc Place Systems.
PattisonP.E. (1988), “Network Models: Some Comments on Papers in This Special Issue,” Social Networks 10, 383–412.
PattisonP.E. (1993), Algebraic Models for Social Networks. England: Cambridge University Press.
PattisonP.E. and S.S.Wasserman (1995), “Constructing Algebraic Models for Local Social Networks Using Statistical Methods,” Journal of Mathematical Psychology 39: 57–72.
PinsonL.J. and R.S.Wiener (1988), An Introduction to Object-Oriented Programming and Smalltalk, Reading, MA: Addison-Wesley.
Popping R. (1989), “The Distance Matrix and Distance-Based Measures,” in C.J.A.Sprenger and F.N.Stokman (Eds.) GRADAP; Graph Definition and Analysis Package, Groningen, the Netherlands: ProGAMMA.
Rainio K. (1966), “A Study on Sociometric Group Structure: An Application of a Stochastic Theory of Social Interaction,” in J.Berger, M.Zelditch and B.Anderson (Eds.) Sociological theories in progress, Boston: Houghton Mifflin.
Rumelhart D. E. and J. L. McClelland (Eds.) (1988), Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises. Cambridge, MA: MIT Press.
RungerG. and S. S.Wasserman (1979), “Longitudinal Analysis of Friendship Networks,” Social Networks 2, 143–154.
ScottJ. (1991), Social Network Analysis; A Handbook. London: Sage.
SeidmanS.B. (1983), “LS Sets and Cohesive Subsets of Graphs and Hypergraphs,” Social Networks 5, 92–96.
SeidmanS.B. and B.L.Foster (1978), “A Graph Theoretic Generalization of the Clique Concept,” Journal of Mathematical Sociology 6, 139–154.
SimonH.A. (1957), Models of Man. New York: Wiley.
SkvoretzJ. (1991), “Theoretical and Methodological Models of Networks and Relations,” Social Networks 13, 275–300.
SkvoretzJ., K.Faust, and T.J.Fararo (1996), “Social Structure, Networks, and E-State Structuralism Models,” Journal of Mathematical Sociology 21, 57–76.
SnijdersT.A.B. (1981), “The Degree Variance: An Index of Graph Heterogeneity,” Social Networks 3, 163–174.
SnijdersT.A.B. (1990), “Testing for Change in a Digraph at Two Time Ooints,” Social Networks 12, 359–373.
SnijdersT.A.B. (1991), “Enumeration and Simulation Methods For 0–1 Matrices with Given Marginals,” Psychometrika 56, 397–417.
SnijdersT.A.B. (1996), “Stochastic Actor-Oriented Models for Network Change,” Journal of Mathematical Sociology 21, 149–172.
SnijdersT.A.B. and K.Nowicki (1994), “Estimation and Prediction for Stochastic Block Models for Graphs with Latent Block Structure,” internal publication, Heymans Bulletins 93: 1–26.
SnijdersT.A.B. and F.N.Stokman (1987), “Extensions of Triad Counts to Networks with Different Subsets of Points and Testing Underlying Random Graph Distributions,” Social Networks 9, 249–275.
SörensenA.B. and M.T.Hallinan (1976), “A Stochastic Model for Change in Group Structure,” Social Science Research 5, 43–61.
SprengerC.J.A. and F.N.Stokman (1989), GRADAP User's Manual, Groningen: ProGAMMA.
Stokman F.N. and P. Doreian (1996), “Evolution of Social Networks: Processes and Principles,” in P.Doreian and F.N.Stokman (Eds.) Evolution Of Social Networks, Langhorne, PA: Gordon and Breach, forthcoming.
Stokman F.N. and J.M.M. Van den Bos (1992), “A Two-Stage Model of Policy Making, With an Empirical Test in the US Energy Policy Domain,” in G.Moore and J.Allen Whitt (Eds.) The Political Consequences of Social Networks, Volume 4 of Research and Society, Greenwich, CT: JAI Press.
Stokman, F.N. and R. Van Oosten (1994), “Generic Steps in Collective Decision Making,” Paper presented at the Sunbelt XIV International Social Network Conference, New Orleans, Louisiana, February 17–20.
Stokman F.N. and E.P.H. Zeggelink (1996a), “Is Politics Power or Policy Oriented? A Comparative Analysis of Dynamic Access Models in Policy Networks,” Journal of Mathematical Sociology 21, 77–111.
Stokman F.N. and E.P.H. Zeggelink (1996b), “‘Self-Organizing’ Friendship Networks,” in W.B.G.Liebrand and D.M.Messick (Eds.) Frontiers in Social Dilemmas Research. Berlin: Springer-Verlag.
StraussD. and M.Ikeda (1990), “Pseudolikelihood Estimation for Social Networks,” Journal of the American Statistical Association 85, 204–212.
TaylorM. (1969), “Influence Structures,” Sociometry 32, 490–502.
Van Duijn M.A.J. (1995), “Estimation of Random Effect Models for Directed Graphs,” in T.A.B.Snijders, B.Engel, J.C.vanHouwelingen, A.Keen, G.J.Stemerdink, and M.Verbeek (Eds.) Toeval zit overal; Symposium Statistische Software, nr 7, Groningen: ProGAMMA.
Van Roozendaal, P. and E.P.H. Zeggelink (1996), “Coalition Formation in Political Networks: A Simulation Approach,” forthcoming.
Verkama M., R.P. Hämäläinen, and H. Ehtamo (1994), “Modeling and Computational Analysis of Reactive Behavior in Organizations,” in K.M.Carley and M.J.Prietula (Eds.) Computational Organization Theory, Hillsdale, NJ: Lawrence Erlbaum Associates.
Visual Works 2.5 (1995), Visual Works 2.5. User's Guide, Parc Place Systems.
WassermanS.S. (1978), “Models for Binary Directed Graphs and Their Applications,” Advances in Applied Probability 10, 803–818.
WassermanS.S. (1980a), “Analyzing Social Networks as Stochastic Processes,” Journal of the American Statistical Association 75, 280–294.
WassermanS.S. (1980b), “A Stochastic Model for Directed Graphs with Transition Rates Determined by Reciprocity,” in K.Schuessler (Ed.), Sociological Methodology, San Francisco: Jossey Bass.
WassermanS.S. (1987), “Conformity of Two Sociometric Relations,” Psychometrika 52, 3–18.
WassermanS.S. and K.Faust (1994), Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press.
WassermanS.S. and J.Galaskiewicz (1994), Advances in Social Network Analysis: Research From the Social and Behavioral Sciences. Newbury Park, CA: Sage.
WassermanS.S. and D.Iacobucci (1988), “Sequential Social Network Data,” Psychometrika 53, 261–282.
WassermanS.S. and S.O.Weaver (1985), “Statistical Analysis of Binary Relational Data: Parameter Estimation,” Journal of Mathematical and Statistical Psychology 29, 406–427.
Weesie J. and H. Flap (Eds.) (1990), Social Networks Through Time. Utrecht, the Netherlands: ISOR.
Wellman B. and S.D. Berkowitz (Eds) (1988), Social Structures: A Network Approach. Cambridge: Cambridge University Press.
WellmanB., O.Frank, V.Espinoza, S.Lundquist, and C.Wilson (1991), “Integrating Individual, Relational and Structural Analysis,” Social Networks 13, 223–249.
WhiteD.R. and S.P.Borgatti (1994), “Betweenness Centrality Measures for Directed Graphs,” Social Networks 16, 335–346.
WhiteH.C., S.A.Boorman and R.L.Breiger (1976), “Social Structure from Multiple Networks I: Blockmodels of Roles and Positions,” American Journal of Sociology 81, 730–779.
WipplerR. (1978), “The Structural-Individualistic Approach in Dutch Sociology: Toward an Explanatory Social Science,” The Netherlands Journal of Sociology 14, 135–155.
WongG.Y. (1987), “Bayesian Models for Directed Graphs,” Journal of the American Statistical Association 82, 140–148.
WrightsmanL.S. and K.Deaux (1981), Social Psychology in the Eighties. 3rd. Monterey, CA: Brooks/Cole.
ZeggelinkE.P.H. (1993), Strangers Into Friends; The Evolution of Friendship Networks Using an Individual Oriented Modeling Approach. Amsterdam: Thesis Publishers.
ZeggelinkE.P.H. (1994), “Dynamics of Structure: An Object-Oriented Approach,” Social Networks 16, 295–333.
ZeggelinkE.P.H. (1995), “Evolving Friendship Networks: An Individual Oriented Approach Implementing Similarity,” Social Networks 17, 83–110.
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Zeggelink, E.P.H., Van Oosten, R. & Stokman, F.N. Object oriented modeling of social networks. Comput Math Organiz Theor 2, 115–138 (1996). https://doi.org/10.1007/BF00240423
- social networks
- objected oriented modeling