Social network data consists of a collection of "nodes" (which can be any sort of entity - e.g. people, corporations) and "links" (which can be any sort of relationship - e.g. friend, sharing a board member).

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A network I'm trying to estimate is missing node attributes. I can't load it with iGraph. What should I do?

I'm working with Add Health data. In a survey, student were asked to nominate up to 5 friends. I'm trying to turn this into a network. I have two data frames in R, an edge list and a list of all the ...
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9 views

dynamic matched sampling to distinguish homophily and influence

I am trying to understand what dynamic matched sampling is and how this can be applied to understand influence and homophily on social networks. Could anyone explain me why this is relevant or could ...
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6 views

Correlation between balance of binary division and modularity in a social network

I'm working with social network data where the full network can be divided up into a ~30 subgroups of nodes based on existing organizational divisions. I'm interested in how integrated each of these ...
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11 views

How to compensate for a small dataset in analysing social media performance?

I work on an online news site, and we're doing some analysis on our articles' potential for success on social media. We hope to get a better idea which of our articles will go viral. As well as data ...
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41 views

SNA tools for insurance fraud detection

I’m currently looking at open source solutions to carry out Social Network Analysis on a large (1 Mn) insurance fraud claims dataset. The solution/packages need to have the following functionality: 1 ...
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85 views

In R: How do 'centralization' measures of the STATNET and iGraph package handle disconnected networks?

I am working with about 300 disconnected of different sizes. I calculate different graph-level centralization measures for these networks using the STATNET and iGraph packages in R. However, I find ...
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11 views

Comparing structure of disconnected networks of different sizes

I am trying to figure out a way to evaluate and compare the structure of multiple (600+) disconnected networks of different sizes (from 31 to 5000 nodes). From what I have read in the literature, ...
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37 views

Borgatti Key Player Problem (KPP) in Python

Has anyone come across any Python implementation of Borgatti's proposed Key Player Problem (KPP) algorithms? I'm interested in solutions using NetworkX and particularly interested in implementations ...
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20 views

Is Social Network Analysis or NER the best way to create a semantic graph?

I am planning to create a semantic graph by creating an automatic ontology. I want to know which is the best process to do it. Doing social network analysis to create people, relationships, likes, ...
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267 views

Numbers too large for R. How to approximate probability mass function?

Social network data is frequently found in a two-mode form: people vs. events they attend, people vs. classes they attend, countries vs. treaties they sign, etc. A strategy for analyzing this data is ...
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1answer
161 views

Why might UCINET and R return different results for a QAP Logistic Regression (on the same data)?

I'm trying to run a QAP logistic regression to predict the odds of a tie in a social network (represented as a binary adjacency matrix) given two independent variables (also binary matrices) but am ...
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120 views

MRQAP in multiple samples (Social Network Analysis)

I have a set of samples, each depicting a (full) social network of coworkers. The questionnaire, which was used to gather the data, was exactly the same for all the samples; just the respondents and ...
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1answer
68 views

Centrality Measures for a directed multigraph

I have a directed multigraph that is used to represent an online discussion forum, where each actor is able to contribute comments to a discussion and have their comments commented on by other actors. ...
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1answer
27 views

Community detection in mobile social network

Can anyone guide me regarding any good survey papers and implementations of recently published papers on community detection in mobile social network. I am willing to implement any existing algorithm ...
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2answers
38 views

GLMM for SNA and non-independency data

I contact you because my case is particular and I don’t know much about GLMM. I have data of social networks (network metrics) of a nonhuman primate species. These data are by nature non independent ...
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64 views

Predicting the Success of a tweet

I want to predict the success of a tweet. In my case a tweet is successful when the sum of the number of favorites and the number of retweets is greater than 5. So my outcome value y is: y= ...
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2answers
52 views

Identifying middlemen in a social network

I have a data set and I want to examine an hypothesis in there and probably Network Analysis should prove or reject my theory. I have a list of products and a group of people who give the product to ...
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1answer
39 views

Choosing the best set of keywords

I have a dataset of tweets collected using twitter streaming API on a particular topic (say 'football') using around 40 keywords. Now if I'm going to track the same topic (football) in future how do I ...
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how to study a panel dataset using network theory?

I have a panel dataset with variables individual and time and I would like to study it from a network perspective. That is, to ...
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17 views

Asymptotic Property of the Likelihood surface

I have a questions which I am not quite sure how to frame, so I apologies if it does not make sense, but I will try my best to make it interpretable. I have been running some network models in R, ...
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70 views

Facebook users similarities

I'm searching for a similarity metric such that given two Facebook users it returns a value that reflects how similar the two users are. The similarity metrics must take into account (at the same ...
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44 views

What is a proper scale to do the social network analysis?

Problem My problem is to profile the individual user (i.e. mine individual user's interest, location, and many more). What we have as input are the network structure (e.g. linked-in network) ...
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125 views

Network graph: hypothesis test that degree distribution is becoming more equitable

I'm playing around with network graphs and am wondering how to show that there is: a statistically significant difference in in-degree distribution between nodes for 2 time periods the in-degree ...
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1answer
81 views

k-core clustering algorithm

I am trying to cluster data. Each point in this dataset is connected to some other points. I want to define clusters "depending on how much the points are connected to each other". After some ...
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1answer
99 views

lhs Unit Eigenvectors in Python for DeGroot model Convergence for Social Networking problems

The influence array at time 0 is: 1/3, 1/3 1/3 1/2, 1/2, 0 0, 0.25, 0.75 It is suppose to converge to the array: ...
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32 views

The best estimate of age of a person in social network

Suppose that we have any social network (i.e. we know who is a friend of whom) and for some nodes in the network (i.e. the users), we also know their age (but not for everyone, as in a real network). ...
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57 views

Expected assortativity coefficient of random graphs

I am wondering whether there exist a closed-form expression for the expected assortativity coefficient (http://arxiv.org/pdf/cond-mat/0205405.pdf) of an Erdos Ranyi random graph model $G(n,m)$, where ...
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47 views

Comparing groups of different sizes in social network analysis

I've got social network data for three groups of chimpanzees and I'm looking to do some basic analysis across and between groups. Does anyone by any chance know how to compare social network data ...
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Is Facebook coming to an end?

Recently, this paper has received a lot of attention (e.g. from WSJ). Basically, the authors conclude that Facebook will lose 80% of its members by 2017. They base their claims on an extrapolation ...
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1answer
134 views

A statistical model for a sample of independent networks

Based on the lack of responses to my previous network question, perhaps this is not quite the place to ask this question, but I'll give it a try. I am planning a series of studies that involve small ...
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1answer
420 views

Centralization measures in weighted graphs

I'm using the igraph package in R to analyze network data. I'm currently trying to calculate some centrality measures for the ...
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61 views

Time series for network matrices?

Let's say I have two people. Each of whom I create a network matrix for daily for some of their daily habits $(i.e. A, B, C, D)$. I do this for, let's say $60$ days. I didn't bother to change the ...
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1answer
120 views

Community finding algorithms in large heterogeneous networks

Consider a network that consists of vertices with various meanings. For example: stack overflow users, keywords and user location when asking/answering a question. In this network, when a user asks a ...
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1answer
65 views

How do you find weight of edges between individuals based on co-participation in the same groups? (SNA)

I have a data set with 20,000 discussion forum threads, many only one or two posts, some up to 400-posts. I have 5,000 individuals who participated in these threads. I want to calculate the strength ...
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2answers
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Dimensionality reduction to summarise user activity

I'm analysing some user activity data for a social networking website. For each user, I have indicators of activity such as: number of visited pages number of comments number of shares number of ...
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154 views

Visualising relationship data

I have data about a certain workforce, with different worker types W1, W2, W3, W4, etc. I need a method to visualise the relationship between each worker type. In particular, I'm interested in ...
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1answer
101 views

How can generalized estimating equation be applied to analyze network data?

I'm using the analytical strategy of Christakis and Fowler to study the spread of behaviors in social networks. Page 566 of this article reviews their method in more details: ...
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58 views

social network simulation

I need Geo-location based social network dataset . But I could not find any source where I can find the dataset. I need the post with location and the information of re sharing of that information ...
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1answer
189 views

Software for working with exponential random graphs

I am looking for software packages for working with exponential random graph models (fitting/generating them and sampling from the graph distributions). I have only found two packages so far, both ...
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44 views

How to cluster temporal trajectories of various social network statistics

I have social network data for 100 open source repositories. The data consists of 12 snapshots (1 for every month of a year) of the networks for several repositories. Out of this I want to extract ...
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171 views

How to model a network analysis problem

I have a weighted graph in which the nodes represent users and weighted undirected edges represent the tie between a pairs of users. For a piece of content $c$, and a node $A$ in the graph, given that ...
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58 views

Assessing the consistency of an estimator of the average path length of a large network

I have found the following in a network-science article and would like clarification of what the authors are claiming: We observe that the root mean square of the difference between the empirical ...
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1answer
403 views

Data mining techniques in Obama's campaign

I came across this article about the data mining team in Obama's reelection campaign. Unfortunately, the article is very fuzzy about the actual machinery of the statistical algorithms. However, it ...
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83 views

Estimating demographics from internet activity

I'm looking for research papers on estimating demographic information (age, wealth, location, gender etc.) out of internet activities (preferably social network activity or browser history). Where ...
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1answer
151 views

Finding “weak ties” in network data

So I am working on a new project looking at formal and informal networks between businesses in the same industry. Namely, I am looking at joint ventures, fractional acquisitions, minority share ...
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1answer
85 views

Distinguishing statistical (global) and network (local) effects

I am analyzing how users of specific service affect each other by observing communication between them and changes in membership plans. The social network consists of 3M users and 40M connections ...