social_network_analysis_on_historical_data
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social_network_analysis_on_historical_data [2016/06/18 17:06] – [Introduction] hkimscil | social_network_analysis_on_historical_data [2016/07/19 17:08] (current) – [PADGETT FLORENTINE FAMILIES Study] hkimscil | ||
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* [[https:// | * [[https:// | ||
* [[https:// | * [[https:// | ||
+ | * [[http:// | ||
====== Tools ====== | ====== Tools ====== | ||
* Visualization | * Visualization | ||
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* [[http:// | * [[http:// | ||
* [[http:// | * [[http:// | ||
- | + | * [[http:// | |
+ | * [[http:// | ||
====== PADGETT FLORENTINE FAMILIES Study ====== | ====== PADGETT FLORENTINE FAMILIES Study ====== | ||
* https:// | * https:// | ||
* [[: | * [[: | ||
- | <WRAP box 500px> | + | <WRAP column half> |
+ | <WRAP box> | ||
<fs x-large> | <fs x-large> | ||
DATASET PADGETT and PADGW / Pajek | DATASET PADGETT and PADGW / Pajek | ||
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**__REFERENCES__** | **__REFERENCES__** | ||
- | * Breiger R. and Pattison P. (1986). Cumulated social roles: The duality of persons and their algebras. Social Networks, 8, 215-256. {{|PDF}} | + | * Breiger R. and Pattison P. (1986). Cumulated social roles: The duality of persons and their algebras. Social Networks, 8, 215-256. {{_cumulated-social-roles-the-duality-of-persons-and-their-algebras.pdf|PDF}} |
* Kent D. (1978). The rise of the Medici: Faction in Florence, 1426-1434. Oxford: Oxford University Press. | * Kent D. (1978). The rise of the Medici: Faction in Florence, 1426-1434. Oxford: Oxford University Press. | ||
* Padgett, John F; Ansell, Christopher K. (1993). Robust action and the rise of the Medici, 1400-1434. The American Journal of Sociology, 98 (6). {{PadgettAnsell_AJS_1993.pdf|PDF}} | * Padgett, John F; Ansell, Christopher K. (1993). Robust action and the rise of the Medici, 1400-1434. The American Journal of Sociology, 98 (6). {{PadgettAnsell_AJS_1993.pdf|PDF}} | ||
+ | </ | ||
</ | </ | ||
+ | <WRAP column half> | ||
+ | <WRAP box> | ||
+ | <fs x-large> | ||
+ | DATASET PADGETT and PADGW / Pajek | ||
+ | DESCRIPTION PADGETT | ||
+ | |||
+ | Two 16×16 matrices: | ||
+ | |||
+ | PADGB symmetric binary | ||
+ | PADGM symmetric binary | ||
+ | PADGW | ||
+ | One 16×3 matrix, valued. | ||
+ | |||
+ | __BACKGROUND__ | ||
+ | Breiger & Pattison (1986)은 르네상스 시기의 프로렌틴 지역의 가문 간의 사회적인 관계에 대한 데이터세트를 사용하여 지역사회의 가문의 역할 분석을 하였다. 실제 데이터는 존 패젯의 역사문서에서 추출한 것이었다. 두가지 종류의 데이터는 비지니스 관계와 결혼관계였는데, | ||
+ | |||
+ | Breiger & Pattison이 지적하듯이, | ||
+ | |||
+ | Substantively, | ||
+ | |||
+ | **__REFERENCES__** | ||
+ | * Breiger R. and Pattison P. (1986). Cumulated social roles: The duality of persons and their algebras. Social Networks, 8, 215-256. {{_cumulated-social-roles-the-duality-of-persons-and-their-algebras.pdf|PDF}} | ||
+ | * Kent D. (1978). The rise of the Medici: Faction in Florence, 1426-1434. Oxford: Oxford University Press. | ||
+ | * Padgett, John F; Ansell, Christopher K. (1993). Robust action and the rise of the Medici, 1400-1434. The American Journal of Sociology, 98 (6). {{PadgettAnsell_AJS_1993.pdf|PDF}} | ||
+ | * Economic Credit and Elite Transformation in Renaissance Florence. {{Economic Credit and Elite Transformation in Renaissance Florence.pdf|PDF}} | ||
+ | </ | ||
+ | </ | ||
+ | ===== Data ===== | ||
< | < | ||
N=16 NM=2 | N=16 NM=2 | ||
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| | ||
</ | </ | ||
+ | ===== Analysis, visual ===== | ||
{{ : | {{ : | ||
{{ : | {{ : | ||
+ | |||
+ | ===== QAP ===== | ||
**__QAP result__** | **__QAP result__** | ||
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UCINET 6.528 Copyright (c) 1992-2012 Analytic Technologies | UCINET 6.528 Copyright (c) 1992-2012 Analytic Technologies | ||
</ | </ | ||
+ | |||
+ | ====== Sampson Monastery ====== | ||
+ | <WRAP column half> | ||
+ | <WRAP box 100%> | ||
+ | <fs x-large> | ||
+ | Overview | ||
+ | |||
+ | The Sampson Monastery dataset consists of social relations among a set of 18 monk-novitiates preparing to enter a monastery. The data include a variety of relations, such as liking, dislike, influence and so on. There are three separate matrices for liking, representing liking relations at three points in time. (Regrettably, | ||
+ | |||
+ | Network Dataset | ||
+ | |||
+ | The dataset name is SAMPSON, and includes the following ten 18x18 matrices: | ||
+ | * SAMPLK1 non-symmetric, | ||
+ | * SAMPLK2 non-symmetric, | ||
+ | * SAMPLK3 non-symmetric, | ||
+ | * SAMPDLK non-symmetric, | ||
+ | * SAMPES | ||
+ | * SAMPDES non-symmetric, | ||
+ | * SAMPIN | ||
+ | * SAMPNIN non-symmetric, | ||
+ | * SAMPPR | ||
+ | * SAMPNPR non-symmetric, | ||
+ | |||
+ | The labels on the data have the abbreviated names followed by the codings used by Breiger and Boorman in all their work. | ||
+ | |||
+ | Background | ||
+ | |||
+ | Samuel F. Sampson recorded the social interactions among a group of monks while resident as an experimenter on vision, and collected numerous sociometric rankings. Some novices had attended the minor seminary of ' | ||
+ | |||
+ | Most of the present data are retrospective, | ||
+ | |||
+ | Four relations are coded, with separate matrices for positive and negative ties on the relation. Each member ranked only his top three choices on that tie. The relations are esteem (SAMPES) and disesteem (SAMPDES), liking (SAMPLK) and disliking (SAMPDLK), positive influence (SAMPIN) and negative influence (SAMPNIN), praise (SAMPPR) and blame (SAMPNPR). In all rankings 3 indicates the highest or first choice and 1 the last choice. (Some subjects offered tied ranks for their top four choices). | ||
+ | |||
+ | Based on his observations and analyses, Sampson divided the novices into four groups: Young Turks, Loyal Opposition, Outcasts, and an interstitial group. The Loyal Opposition consists of the novices who entered the monastery first. The Young Turks arrived later, in a period of change. They questioned practices in the monastery, which the members of the Loyal Opposition defended. Some novices did not take sides in this debate, so they are labeled ' | ||
+ | </ | ||
+ | </ | ||
+ | <WRAP column half> | ||
+ | <WRAP box 100%> | ||
+ | <fs x-large> | ||
+ | Overview | ||
+ | |||
+ | 샘슨 수도원 데이터셋는 18명의 수도원에 들어가고자 준비하는 수련수사들 간의 사회적인 관계로 구성되어 있다. 데이터는 다양한 관계를 포함하는데, | ||
+ | . | ||
+ | |||
+ | __Network Dataset__ | ||
+ | |||
+ | 데이터세트 이름은 SAMPSON이고 다음과 같은 10개의 18x18 matrices를 포함한다: | ||
+ | * SAMPLK1 non-symmetric, | ||
+ | * SAMPLK2 non-symmetric, | ||
+ | * SAMPLK3 non-symmetric, | ||
+ | * SAMPDLK non-symmetric, | ||
+ | * SAMPES | ||
+ | * SAMPDES non-symmetric, | ||
+ | * SAMPIN | ||
+ | * SAMPNIN non-symmetric, | ||
+ | * SAMPPR | ||
+ | * SAMPNPR non-symmetric, | ||
+ | |||
+ | The labels on the data have the abbreviated names followed by the codings used by Breiger and Boorman in all their work. | ||
+ | |||
+ | Background | ||
+ | |||
+ | 사무엘 F. 샘슨은 수사그룹의 구성원 간의 사회적인 상호작용을 기록하였다. 비전에 관한 실험자로서 머물면서 다양한 사회계량순서를 수집하였다. 이 곳에 오기전에 Cloisterville이라는 소신학교를 다닌 신부도 있었다. 샘슨이 머무는 동안, 정치적인 수도생활의 위기로 말미암아 4명의 신부가 파계(expulsion) 당하는 (Nos. 2, 3, 17, and 18) 일이 있었으며 동시에 몇몇은 자발적으로 수도원을 떠나기도 하였는데 대부분은 파계사건 바로 직후였는데, | ||
+ | |||
+ | Most of the present data are retrospective, | ||
+ | |||
+ | Four relations are coded, with separate matrices for positive and negative ties on the relation. Each member ranked only his top three choices on that tie. The relations are **esteem** (SAMPES) and **disesteem** (SAMPDES), **liking** (SAMPLK) and **disliking** (SAMPDLK), **positive influence** (SAMPIN) and **negative influence** (SAMPNIN), **praise** (SAMPPR) and **blame** (SAMPNPR). In all rankings 3 indicates the highest or first choice and 1 the last choice. (Some subjects offered tied ranks for their top four choices). | ||
+ | |||
+ | Based on his observations and analyses, Sampson divided the novices into four groups: __Young Turks__, __Loyal Opposition__, | ||
+ | |||
+ | References | ||
+ | * Breiger, R., Boorman, S. & Arabie, P. 1975. An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling. Journal of Mathematical Psychology 12: 328-383. {{An_Algorithm_for_Clustering_Relational_Data_with_A.pdf|PDF}} | ||
+ | * | ||
+ | |||
+ | </ | ||
+ | </ |
social_network_analysis_on_historical_data.1466238970.txt.gz · Last modified: 2016/06/18 17:06 by hkimscil