ORG: Social Network Analysis (Topic)最新文献

Sectoral Productivity Convergence, Input-Output Structure and Network Communities in Japan 日本部门生产率趋同、投入产出结构与网络社区

ORG: Social Network Analysis (Topic) Pub Date : 2020-08-23 DOI: 10.2139/ssrn.3679429

Alvaro Domínguez, Carlos Mendez, Felipe Santos‐Marquez

引用次数: 4

Starting Cold: The Power of Social Networks in Predicting Non-Contractual Customer Behavior 启动冷:社会网络在预测非合同客户行为的力量

ORG: Social Network Analysis (Topic) Pub Date : 2019-02-24 DOI: 10.2139/ssrn.3001978

Pantelis Loupos, A. Nathan, Moran Cerf

{"title":"Starting Cold: The Power of Social Networks in Predicting Non-Contractual Customer Behavior","authors":"Pantelis Loupos, A. Nathan, Moran Cerf","doi":"10.2139/ssrn.3001978","DOIUrl":"https://doi.org/10.2139/ssrn.3001978","url":null,"abstract":"The last decade has seen a rapid emergence of non-contractual networked services. The standard approach in predicting future customer behavior in those services involves collecting data on a user's past purchase behavior, and building statistical models to extrapolate a user's actions into the future. However, this method fails in the case of newly acquired customers where you have little or no transactional data. In this work, we study the extent to which knowledge of a customer's social network can solve this “cold-start” problem and predict the following aspects of customer behavior: (1) activity, (2) transaction levels and (3) membership to the group of most frequent customers. We conduct a dynamic analysis on approximately one million users from the most popular peer-to-peer payment application, Venmo. Our models produce high quality forecasts and demonstrate that social networks lead to a significant boost in predictive performance primarily during the first month of a customer's lifetime. Finally, we characterize significant structural network differences between the top 10% and bottom 90% of most frequent customers immediately after joining the service.","PeriodicalId":369422,"journal":{"name":"ORG: Social Network Analysis (Topic)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128616025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Marketing Department Power and Board Interlocks 市场部电源和板卡联锁

ORG: Social Network Analysis (Topic) Pub Date : 2019-01-01 DOI: 10.2139/ssrn.3322304

P. Ebbes, Frank Germann, Rajdeep Grewal

{"title":"Marketing Department Power and Board Interlocks","authors":"P. Ebbes, Frank Germann, Rajdeep Grewal","doi":"10.2139/ssrn.3322304","DOIUrl":"https://doi.org/10.2139/ssrn.3322304","url":null,"abstract":"Although the level of power held by the marketing department can determine key organizational outcomes, including firm performance, this power often is modest and, in many firms, diminishing. To address this apparent disconnect, the authors propose that the board of directors is a critical but overlooked driver of marketing department power. In particular, directors’ marketing exposure through board service at other firms (i.e., board-interlocked firms) may affect the marketing department’s power in the firms on whose boards they also serve. With a sample of 4,422 firms, spanning 2007–2013, this study reveals that marketing department power in board-interlocked firms significantly and positively drives marketing department power in the focal firms. Consistent with an information sharing view, the magnitude of this effect varies with the focal firm’s network position in the board-interlocked network, such that it strengthens as the focal firm’s network centrality (information amount) and network brokerage (information quality) increase. These robust results suggest that board members and their social networks significantly influence marketing department power; if marketing wants to increase its power, it should get the board “on board.”","PeriodicalId":369422,"journal":{"name":"ORG: Social Network Analysis (Topic)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134540807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Evolution of Influence Through Endogenous Link Formation

ORG: Social Network Analysis (Topic) Pub Date : 2015-02-20 DOI: 10.2139/ssrn.2163293

T. Phan, D. Godes

{"title":"The Evolution of Influence Through Endogenous Link Formation","authors":"T. Phan, D. Godes","doi":"10.2139/ssrn.2163293","DOIUrl":"https://doi.org/10.2139/ssrn.2163293","url":null,"abstract":"Marketing researchers and practitioners are interested in targeting individuals in social networks who may have disproportionately higher levels of influence over others in their network. While the extant literature suggests individual characteristics or network position as proxies for relative influence, our study bridges these two streams by investigating the endogenous acquisition of network position as a function of exogenous individual characteristics. Specifically, do those with higher expertise achieve higher influence when people endogenously choose those to whom they listen? Using an agent-based modeling simulation framework, we model the dynamics of two types of individuals, i.e., independents with exogenous information and imitators. Over the course of multiple diffusions, agents choose whom to \"listen to\" for information; dropping less useful ties and adding new ones. We find that independents can have less influence out-degree than imitators who collect information from multiple sources. Furthermore, this effect is exacerbated by homophily. Noise in communication channels, on the other hand, moderates these effects, yet can increase penetration rates. We show that our results are robust to alternative dynamic network structures. Our research suggests that marketers should consider the environment, community characteristics, communication medium, and product domains when assessing the relative influence of individuals. \u0000 \u0000Data and the online appendix are available at https://doi.org/10.1287/mksc.2017.1077 .","PeriodicalId":369422,"journal":{"name":"ORG: Social Network Analysis (Topic)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121483677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Social Network Analysis to Detect Inherent Communities Based on Constraints 基于约束的社会网络分析检测固有社区

ORG: Social Network Analysis (Topic) Pub Date : 2014-04-01 DOI: 10.12785/AMIS/081L49

D. Bhattacharyya, Soumita Seth, Tai-hoon Kim

{"title":"Social Network Analysis to Detect Inherent Communities Based on Constraints","authors":"D. Bhattacharyya, Soumita Seth, Tai-hoon Kim","doi":"10.12785/AMIS/081L49","DOIUrl":"https://doi.org/10.12785/AMIS/081L49","url":null,"abstract":"Social network analysis (SNA) is used to analyze social networks or structures made up individuals called nodes, which are tied by one or more specific types of interdependency such as relationships, connections, or interactions. Often it is used in many internet-based applications like, social networking websites, on-line viral marketing, and recommendation network based applications to improve the performance of user-specific information dissemination. Detecting communities, which are basically sub-graphs or clusters, within a social network has been the central focus of this work. Here, we present a divisive hierarchical clustering algorithm for detecting disjoint communities by removing minimum number of edges to obey minimum edge-cut principle, like CHAMELEON: Two Phase Agglomerative Hierarchical Clustering. The stopping criteria of this algorithm depends on two threshold constraints namely, balance constraint (BC) and MINSIZE (MS) like CHAMELEON. As a measure of the quality of community, we follow network centrality measure clustering coefficient. Our experimental results, using some well-known benchmark social networks, also show that our method determines similar communities with good average clustering coefficient as the other existing well known methods of various research papers.","PeriodicalId":369422,"journal":{"name":"ORG: Social Network Analysis (Topic)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114601164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Sense Making and Information in an Agent-Based Model of Cooperation 基于agent的合作模型中的意义决策和信息

ORG: Social Network Analysis (Topic) Pub Date : 2012-09-29 DOI: 10.1007/978-3-642-31301-1_11

A. Moretti, C. Cruciani, P. Pellizzari

引用次数: 2

Identification of Core Journals and Analysis of Collaboration Networks Among Researchers in Ibero America 伊比利亚美洲研究人员核心期刊的鉴定与合作网络分析

ORG: Social Network Analysis (Topic) Pub Date : 2012-08-15 DOI: 10.2139/ssrn.2371336

J. Rogel-Salazar, Rosario Rogel-Salazar

引用次数: 2

Close Connections: Hedge Funds, Brokers and the Emergence of a Consensus Trade 密切联系:对冲基金，经纪人和共识交易的出现

ORG: Social Network Analysis (Topic) Pub Date : 2012-06-05 DOI: 10.2139/ssrn.2064572

Jan Simon, Yuval Millo, N. Kellard, Ofer Engel

引用次数: 6