. . . Abstracts, cont'd - 46 -A Comparison of Structure in Behavioral and Cognitive<strong>Social</strong> Network Data(mimeo .)This paper provides a comparison of the triadic-level structure inherent in behavioral and cognitivesocial network data taken on the same group, using a variety of groups whose communication could easilybe monitored .It is found that many types of structure occur significantly more or less than chance in both behavioraland cognitive data, and providing that these are treated in similar ways, there is good agreementbetween the two structures . However, there are several ways to treat behavioral data, and these produceat least two essentially different structures .If cognitive and behavioral triads are compared triad by triad, then there is virtually no agreementbetween them (even though they may both display the same structure on an overall triad census) .Finally, the unlikely hypothesis is proposed that, under .many circumstances, behavioral structurenever alters . <strong>Change</strong> in structure over time apparent occurs because of in<strong>for</strong>mant error in the reportingof the cognitive data. A pseudo-transition matrix, giving the probability that a triad is reportedas one type when data are first taken, and a different type at a later date, is calculated . More subtledata will be necessary to disprove this hypothesis .Ronald L . BreigerDept . of Sociology, Harvard Univ ., Cambridge, Mass . 02138, U .S .A .Toward an Operational Theory of Community Elite StructuresQuality & Quantity vol .12 (<strong>1978</strong>) In Press .This paper presents a reanalysis of data on a West German community elite (Laumann and Pappi 1973,1976) and identifies implications of a multiple network analytical strategy ("blockmodel analysis") <strong>for</strong>the study of community structures more generally . Section 1 offers a brief overview of the recent blockmodelsliterature . In Section 2 I suggest that diverse theoretical and empirical studies of communitypower structures may be unified as special cases of blockmodel images and role interlock tables, and Itake some first steps in providing the necessary operational definitions . Section 3 is a demonstrationthat Laumann and Pappi's aggregation of elite actors, although it was constructed from a single networkand with no reference to blockmodel analysis, nonetheless induces cogent blockmodel images across themultiple networks these investigators collected ; blockmodel analysis broadens and extends their substantivetreatment of the coalitional structure of a community elite . Section 4 reports application ofan algorithm designed to aggregate social actors across all the networks simultaneously . The resultingblockmodel is compared in several critical respects to the one obtained from Laumann and Pappi'spartition . In Section 5 the focus shifts from aggregates of actors and the patterns they induce torelations among networks and the coherent structures they <strong>for</strong>m . Core features of role interlockcaptured by both models (those developed in Sections 3 and 4) are identified and interpreted . Newpossibilities <strong>for</strong> a theory of community structures are suggested .Bonnie H . EricksonDept. of Sociology, University of Toronto, Toronto, <strong>On</strong>tario, CanadaSome Problems of Inference from Chain DataFour methods <strong>for</strong> generating data on interpersonal chains are discussed : snowball samples, Milgram'ssmall world technique, sampling natural chains at endpoints, and sampling natural chains at any point .For each method, there is a discussion of advantages and problems in making inferences to each of fourpossible levels : individuals, chains, chaining processes, and networks . References to existing techniquesare given, and inescapable ambiguities of inference are discussed . Overall, it is argued, chainstudies are an important set of tools <strong>for</strong> relational analysis provided that inferential problems areallowed <strong>for</strong> .
- 4 7 -. . . Abstracts, cont'd .Richard V . Farace and Rolf T . WigandDept . of Communication, Michigan State University, East Lansing, Michigan 48824, U .S .A .The Communication Industry in Economic Integration :The Case of West GermanyPaper presented to the International Communication Association,Organizational Communication DivisionChicago, Ill ., April 23-26, 1975National economies can be viewed as networks of interdependent relations among the firms, industriesand sectors that make up the total economic system . Within this economic system, the communication industryplays a central role by providing message and media products and services, i .e . the linking andcoordinating infrastructure .Some limited research has been done on the nature and importance of the communication industry inthe total economic network of a nation . The study reported here, however, represents the first applicationof currently existing network analysis techniques to this problem on a large-scale basis . The dataused <strong>for</strong> this study represent the interorganizational relationships among 365 West German firms, with a1970-based stock value of $333,000 or more . Interorganizational linkages are a function of (1) directionof ownership, and (2) magnitude of ownership (percentage of stock owned weighted by the value of theowned firm) .The data analysis reveals that there are a number of dominating industrial groups, including acommunication industry . The inter-firm relationships of the communication industry have been mapped andmeasured . The analysis demonstrates that there is relatively little dominance in and widespread integrationwith other major economic clusters of the economy . These findings are considered as being preliminarysince only publically reported data were available, i .e . privately controlled firms are not includedin the analysis . A number of measures <strong>for</strong> connectedness and integrativeness are presented that suggestthemselves in addition to the technique of network analysis per se as potential alternative measures .Ove FrankDept . of Statistics, University of Lund, Lund, SwedenEstimation of the Number of ConnectedComponents in a Graph by Using a Sampled SubgraphThe number of connected components of arbitrary of fixed node size in an unknown parent graph is tobe estimated by using a sampled subgraph . This problem is first discussed <strong>for</strong> two kinds of parent graphs :a transitive graph and a <strong>for</strong>est . Some approaches pertaining to a general parent graph are then illustratedby simple computer experiments .A Note on Bernoulli Sampling and Horvitz-Thompson EstimationForthcoming in Scandinavian Journal of StatisticsThe problem of estimating a total T = £ f y ij using observations y ij <strong>for</strong> (i,j)ES2 , wherei€V j (tVS is a random sample selected from V , is dealt with . The random sample S is chosen as a Bernoullisample with unequal or equal selection probabilities, and some earlier results by the author concerningHorvitz-Thompson estimators and variances are generalized .
- Page 1 and 2: THE INTERNATIONAL NETWORK FOR SOCIA
- Page 3 and 4: - 3 -. . .Network Notebook, cont'd
- Page 6 and 7: - 6 -professionals are forming to s
- Page 8 and 9: - 8 -This winter, some members of I
- Page 10 and 11: [3] Milton Kotler, NeighborhoodGove
- Page 12 and 13: - 12 -MEETING CALENDARFourthAnnualC
- Page 14 and 15: - 14 -A Proposed Dictionaryof Netwo
- Page 16 and 17: . . .Research Reports, cont'dKappel
- Page 18 and 19: . . .Research Reports cont'dThe pro
- Page 20 and 21: - 20 -. . . Computer Programs, cont
- Page 22 and 23: - 22 -. . . Computer Programs, cont
- Page 24 and 25: - 24 -. . . Computer Programs, cont
- Page 26 and 27: -26-. . . Computer Programs, cont'd
- Page 28 and 29: . . . Computer Programs, cont'd .D
- Page 30 and 31: - 3 0 -Computer Programs, cont'd .3
- Page 32 and 33: - 3 2 -NEW BOOKSClaude S . Fischer,
- Page 34 and 35: - 3 4 -THESISSUMMARIESIndustrializa
- Page 36 and 37: - 3 6 -. . . Thesis Summaries, cont
- Page 38 and 39: - 3 8 -. . .Thesis Summaries, cont'
- Page 40 and 41: - 4 0 -. . . Abstracts, cont'd .tot
- Page 42 and 43: - 4 2 -. . . Abstracts, cont'dsubje
- Page 44 and 45: - 4 4 -. . . Abstracts, cont'd .Ken
- Page 48 and 49: - 4 8 -. . . Abstracts, cont'd .Sur
- Page 50 and 51: - 5 0 -. . . Abstracts, cont'd .Ald
- Page 52 and 53: - 5 2 -. . . Abstracts, cont'd .Joh
- Page 54 and 55: - 5 4 -. . . Abstracts by Ben Zion
- Page 56 and 57: - 5 6 -. . . Abstracts by Stanley S
- Page 58 and 59: - 5 8 -. . . Abstracts by Rolf T .
- Page 60 and 61: - 6 0 -COURSE OUTLINESOCIOLOGY 475
- Page 62 and 63: - 6 2 -. . . Course Outline, cont'd
- Page 64 and 65: - 6 4 -. . .Network Notebook cont'd
- Page 67 and 68: - 6 7 -NEW DIRECTORY LISTINGSRuth H
- Page 69 and 70: - 6 9 -networks of researchers and
- Page 71 and 72: Georges GueronFondation Internation
- Page 73 and 74: - 7 3 -Richard H . LesniakSurvey Re
- Page 75 and 76: - 7 5 -(1) Continuing work fromdiss
- Page 77 and 78: - 7 7 -U .S . corporations 1886-190
- Page 79 and 80: - 7 9 -424 Malrose StreetChicago, I
- Page 81 and 82: - 81 -INSNAMEMBERSBY COUNTRY211 Ric
- Page 83 and 84: 226 Joanne M . Nigg227 Franz Urban
- Page 85 and 86: - 85 -208 Camille, Jr . Lambert 208
- Page 87: 208 Camille, Jr . Lambert211 Richar